Integrate InfluxDB across your stack

Kafka and InfluxDB

This plugin reads messages from Kafka and allows the creation of metrics based on those messages. It supports various configurations, settings, and message processing options.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

Kinesis and InfluxDB

The Kinesis plugin allows for reading metrics from AWS Kinesis streams. It supports multiple input data formats and offers checkpointing features with DynamoDB for reliable message processing.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

HTTP and InfluxDB

The HTTP plugin collects metrics from one or more HTTP(S) endpoints. It supports various authentication methods and configuration options for data formats.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

SNMP and InfluxDB

The SNMP plugin gathers metrics using SNMP agents through configurable requests. It supports both OIDs and table data collection for comprehensive monitoring.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

Modbus and InfluxDB

The Modbus plugin enables data collection from Modbus devices via TCP or RTU/ASCII. It supports various configurations for retrieving different types of data from slave devices.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

OPC UA and InfluxDB

This plugin gathers metrics from OPC UA servers, enabling comprehensive device monitoring. Users can configure various options for connecting to and retrieving data from multiple OPC UA nodes.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

MQTT and InfluxDB

The MQTT plugin is a service input for reading metrics from specified MQTT topics. It supports various data formats and configuration options for reliable message consumption.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

gNMI and InfluxDB

The gNMI Input Plugin enables users to collect telemetry data from network devices in real-time. It is designed to work with any gNMI-compliant platform, including various Cisco devices.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

Fluentd and InfluxDB

Fluentd Input Plugin collects metrics from the Fluentd monitoring endpoint. It helps users monitor fluentd plugins and manage performance efficiently.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

OpenTelemetry and InfluxDB

The OpenTelemetry Telegraf plugin facilitates the ingestion of telemetry data through gRPC, providing support for traces, metrics, and logs. This ensures that applications can be monitored effectively using the OpenTelemetry standard.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

AMQP and InfluxDB

This plugin is designed for consuming metrics from AMQP 0-9-1, such as those provided by RabbitMQ. It efficiently reads data from queues and exchanges using configurable parameters, making it ideal for integrated monitoring setups.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

Amazon CloudWatch and InfluxDB

The Amazon CloudWatch Statistics Input Plugin allows you to gather metric statistics from AWS CloudWatch. It supports flexible authentication and configuration options, making it suitable for various monitoring requirements.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

Zipkin and InfluxDB

The Zipkin Input Plugin gathers trace and timing data required for troubleshooting latency in microservices. Leveraging spans and annotations, it improves observability and performance tracking in distributed systems.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

NATS and InfluxDB

This plugin reads metrics from NATS subjects, allowing for parallel consumption across multiple instances of Telegraf. It supports various authentication methods and is designed to ensure message reliability and persistence.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

Kubernetes and InfluxDB

The Kubernetes input plugin gathers metrics about running containers and pods from the Kubelet API, tailored for deployment as a daemonset within a Kubernetes cluster. It enables efficient monitoring of cluster resources and ensures compatibility with supported Kubernetes versions.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

StatsD and InfluxDB

The StatsD input plugin collects metrics from a StatsD server to facilitate performance monitoring. By functioning as a background listener, it efficiently processes various stat types including gauges and counters.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

Docker and InfluxDB

Monitor the performance and resource usage of Docker containers. This plugin provides essential metrics for understanding container health and resource consumption.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

Apache and InfluxDB

This plugin collects performance metrics from the Apache HTTP server using the mod_status module. It provides insights into server load, connections, and worker status.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

Amazon ECS and InfluxDB

This plugin collects metrics about containers running on AWS ECS, allowing for detailed monitoring and performance analysis. It integrates tightly with AWS services to retrieve metadata and statistics directly from the ECS API.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

ActiveMQ and InfluxDB

This plugin collects metrics from ActiveMQ using its Console API, including queue sizes and message counts. It enables real-time monitoring of ActiveMQ's performance and health.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

Google Cloud PubSub and InfluxDB

A plugin for ingesting metrics from Google Cloud PubSub subscriptions, providing real-time data integration capabilities.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

Azure Event Hubs and InfluxDB

A plugin to consume data from Azure Event Hubs and Azure IoT Hub, facilitating real-time data processing.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

Consul and InfluxDB

The Consul Input Plugin reports health check statuses from services registered in Consul, enabling real-time operational monitoring. Users can configure connection details, authentication, and how to manage tags associated with health check metrics.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

Google Cloud Stackdriver and InfluxDB

The Stackdriver input plugin provides functionality to gather metrics from Google Cloud. It simplifies access to a wide range of monitoring data for better insight into cloud operations.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

AWS Data Firehose and InfluxDB

AWS Data Firehose Input Plugin enables real-time metric ingestion from AWS Data Firehose via HTTP. It supports various data formats and offers security and configuration options for flexible integration.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

Google Cloud Storage and InfluxDB

Collects metrics from Google Cloud Storage buckets for performance monitoring.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

HAProxy and InfluxDB

The HAProxy plugin collects metrics from HAProxy servers using either a stats socket or HTTP endpoints, enabling detailed monitoring of server status and performance analytics. This plugin allows for comprehensive visibility into HAProxy's operational metrics, helping administrators ensure optimal load balancing and application performance.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

Jenkins and InfluxDB

This plugin gathers information about the nodes and jobs running in a Jenkins instance using the Jenkins API. It enables seamless integration and monitoring without requiring any additional Jenkins plugins.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

LDAP and InfluxDB

The LDAP plugin collects metrics from LDAP servers for performance monitoring. It supports multiple connection schemes and provides detailed server metrics for operational health assessment.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

Nginx and InfluxDB

The Nginx plugin monitors the performance of Nginx servers, gathering important status information for server performance tracking.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

Hashicorp Nomad and InfluxDB

The Hashicorp Nomad input plugin collects metrics from Nomad agents in a cluster. It helps in monitoring the health and performance of the Nomad environment.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

OpenStack and InfluxDB

The OpenStack Telegraf plugin collects metrics from OpenStack services, aiding in performance monitoring. It allows users to configure polling intervals and manage enabled services to optimize data collection.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

Webhooks and InfluxDB

This plugin provides an HTTP server for handling webhook requests from various services. It handles events and metrics sent to different configured paths, facilitating integration with external systems.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

Tail and InfluxDB

The Tail plugin monitors log files for new entries and parses log messages. It efficiently handles log rotation and provides various configuration options for optimal performance.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

Azure Monitor and InfluxDB

The Azure Monitor plugin collects metrics from Azure resources. It provides a way to access detailed performance insights via the Azure Monitor API.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

NSQ and InfluxDB

This plugin facilitates the consumption of messages from NSQ, a real-time messaging platform. It ensures reliable data processing by managing undelivered messages and integrating various data formats.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

RabbitMQ and InfluxDB

The RabbitMQ plugin collects metrics from RabbitMQ servers, enabling effective monitoring of message queues and processing. It supports various metrics essential for maintaining the health and performance of RabbitMQ instances.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

Salesforce and InfluxDB

Salesforce plugin monitors API usage limits in Salesforce organizations. It fetches data through Salesforce's REST API to provide insights on remaining usage and thresholds.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

SNMP Trap and InfluxDB

The SNMP Trap input plugin allows for receiving and processing SNMP traps and inform requests over UDP. It is essential for network monitoring, enabling integration with a multitude of devices to capture and respond to network events.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

Supervisor and InfluxDB

The Supervisor plugin collects metrics from processes managed by Supervisor using XML-RPC. It provides insights into process states, uptime, and other relevant metrics for effective monitoring.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

Suricata and InfluxDB

The Suricata plugin collects performance stats from the Suricata IDS/IPS engine, providing vital insights into network operations. It transforms Suricata's JSON outputs into metrics suitable for Telegraf.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

Syslog and InfluxDB

Capture syslog messages from various protocols with the Syslog plugin. This plugin allows integration of structured logging data into monitoring systems, utilizing TCP, UDP, and TLS.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

Memcached and InfluxDB

The Memcached plugin collects real-time metrics from Memcached servers, providing insights into their performance and resource utilization. It is essential for monitoring caching strategies and optimizing application responsiveness.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

Mesos and InfluxDB

Telegraf's Mesos input plugin collects metrics from Apache Mesos, a leading cluster and resource management system. It provides insights into resource utilization and tasks across the Mesos architecture, aiding in monitoring and performance analysis.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

Apache Zookeeper and InfluxDB

This plugin gathers metrics from Apache Zookeeper servers using the 'mntr' command output. It helps monitor Zookeeper's performance and operational status efficiently.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

Hashicorp Vault and InfluxDB

This plugin collects metrics from Hashicorp Vault agents, helping to monitor their performance and health. It requires a valid Vault token for authorization.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

VMware vSphere and InfluxDB

This plugin collects metrics from VMware vSphere using the vSphere API, including data from clusters, hosts, VMs, datastores, and vSAN. It supports various configuration options to tailor data collection to specific monitoring needs and enhances visibility into the performance of virtual environments.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

Ceph and InfluxDB

This plugin collects performance metrics from Ceph storage clusters, enhancing observability and facilitating better management. It retrieves data from both MON and OSD nodes, allowing administrators to monitor the health and performance of their storage system.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

DNS and InfluxDB

This plugin collects DNS query times and provides key metrics for performance monitoring. It allows users to gain insights into the resolution times from specified DNS servers, helping identify potential issues in DNS performance.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

ctrlX Data Layer and InfluxDB

This plugin gathers data from the ctrlX Data Layer middleware used in professional automation applications. It allows for detailed monitoring and configuration options tailored to specific operational requirements.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

Nvidia SMI and InfluxDB

This plugin collects GPU statistics from the NVIDIA System Management Interface (SMI), including memory usage, temperature, and more. It utilizes the `nvidia-smi` binary to extract real-time performance metrics from NVIDIA GPUs.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

Intel PowerStat and InfluxDB

This plugin captures essential power and performance metrics for Intel CPUs, allowing users to optimize workloads and improve energy efficiency. It aids in telemetry and analytics efforts related to CPU usage, temperature, and power consumption.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

iptables and InfluxDB

The iptables input plugin gathers metrics on packet and byte counters for specified rules within the Linux iptables firewall, allowing for effective monitoring of network traffic through defined rules.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

InfiniBand and InfluxDB

This plugin collects metrics from InfiniBand devices and ports on Linux systems. It monitors various performance indicators including error rates and packet statistics.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

Wireguard and InfluxDB

The Wireguard input plugin gathers stats from Wireguard interfaces and their peers, facilitating effective monitoring. By utilizing the wgctrl library, it provides key metrics to administrators for enhanced network management.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

Kibana and InfluxDB

This plugin queries the Kibana API to fetch the service status and provides various performance metrics. It helps in monitoring Kibana's health, such as its uptime and resource usage efficiently.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

Cisco Model-Driven Telemetry and InfluxDB

This plugin provides an input method for collecting telemetry data from Cisco devices using model-driven telemetry techniques. It supports flexible transport options and real-time data accessibility.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

Fireboard and InfluxDB

The Fireboard plugin collects real-time temperature data from Fireboard thermometers. This allows for precise monitoring of temperature-sensitive environments.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

Icinga and InfluxDB

The Icinga2 Plugin collects real-time status of services and hosts from Icinga2's Remote API. This helps in maintaining an updated view of system health and performance metrics across your infrastructure.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

IPMI Sensor and InfluxDB

This plugin retrieves sensor data using the IPMI protocol through the `ipmitool`. It can gather metrics from local and remote servers, allowing for enhanced monitoring of hardware status.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

IPVS and InfluxDB

This input plugin captures metrics for IPVS virtual and real servers. It leverages the Linux kernel's netlink interface for data collection, providing insights into server performance and connections.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

JTI OpenConfig Telemetry and InfluxDB

The JTI OpenConfig Telemetry plugin facilitates the collection of telemetry data from devices using the Junos Telemetry Interface in real-time. It enables flexible configurations including device addresses, user credentials, and sensor management.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

Kernel and InfluxDB

This plugin gathers Linux kernel statistics not captured by other plugins, focusing on system metrics and entropy availability.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

Apache Aurora and InfluxDB

The Aurora plugin collects metrics from Apache Aurora schedulers, facilitating monitoring and operational oversight. It interfaces efficiently with the schedulers to provide key performance metrics essential for cluster health assessment.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

Azure Storage Queue and InfluxDB

The Azure Storage Queue plugin collects metrics about Azure Storage Queues, focusing on size and message age. It helps improve operational oversight of storage resources in Azure.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

Arista LANZ and InfluxDB

The Arista LANZ plugin reads metrics from Arista's Latency Analyzer (LANZ) to help monitor network performance. It utilizes a TCP connection to gather data in a Protobuffers format.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

Phillips Hue Bridge and InfluxDB

The Hue Bridge plugin enables the monitoring of Philips Hue Bridge devices. It collects various metrics related to lighting and environmental conditions from smart home systems.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

Netflow and InfluxDB

This plugin collects flow data using Netflow v5, v9 and IPFIX protocols, providing insights into network traffic patterns and behaviors. By leveraging this plugin, organizations can enhance their network monitoring capabilities and gain visibility into real-time traffic flows.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

KNX and InfluxDB

This plugin captures data from the KNX home-automation bus through a KNX-IP interface. It supports customizable measurement definitions and real-time event listening for enhanced smart home automation.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

ntpq and InfluxDB

Collects metrics from NTP servers using the ntpq executable to monitor time synchronization performance. Key metrics include delay, jitter, offset, and polling information for effective timekeeping.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

MavLink and InfluxDB

The MavLink input plugin allows the collection of telemetry data from flight controllers, enabling real-time monitoring of unmanned systems. It supports diverse connection methods, including TCP and UDP, while offering configuration flexibility for message filtering.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

Kafka and Datadog

This plugin reads messages from Kafka and allows the creation of metrics based on those messages. It supports various configurations, settings, and message processing options.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

Kinesis and Datadog

The Kinesis plugin allows for reading metrics from AWS Kinesis streams. It supports multiple input data formats and offers checkpointing features with DynamoDB for reliable message processing.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

HTTP and Datadog

The HTTP plugin collects metrics from one or more HTTP(S) endpoints. It supports various authentication methods and configuration options for data formats.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

SNMP and Datadog

The SNMP plugin gathers metrics using SNMP agents through configurable requests. It supports both OIDs and table data collection for comprehensive monitoring.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

Modbus and Datadog

The Modbus plugin enables data collection from Modbus devices via TCP or RTU/ASCII. It supports various configurations for retrieving different types of data from slave devices.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

OPC UA and Datadog

This plugin gathers metrics from OPC UA servers, enabling comprehensive device monitoring. Users can configure various options for connecting to and retrieving data from multiple OPC UA nodes.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

MQTT and Datadog

The MQTT plugin is a service input for reading metrics from specified MQTT topics. It supports various data formats and configuration options for reliable message consumption.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

gNMI and Datadog

The gNMI Input Plugin enables users to collect telemetry data from network devices in real-time. It is designed to work with any gNMI-compliant platform, including various Cisco devices.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

Fluentd and Datadog

Fluentd Input Plugin collects metrics from the Fluentd monitoring endpoint. It helps users monitor fluentd plugins and manage performance efficiently.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

OpenTelemetry and Datadog

The OpenTelemetry Telegraf plugin facilitates the ingestion of telemetry data through gRPC, providing support for traces, metrics, and logs. This ensures that applications can be monitored effectively using the OpenTelemetry standard.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

AMQP and Datadog

This plugin is designed for consuming metrics from AMQP 0-9-1, such as those provided by RabbitMQ. It efficiently reads data from queues and exchanges using configurable parameters, making it ideal for integrated monitoring setups.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

Amazon CloudWatch and Datadog

The Amazon CloudWatch Statistics Input Plugin allows you to gather metric statistics from AWS CloudWatch. It supports flexible authentication and configuration options, making it suitable for various monitoring requirements.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

Zipkin and Datadog

The Zipkin Input Plugin gathers trace and timing data required for troubleshooting latency in microservices. Leveraging spans and annotations, it improves observability and performance tracking in distributed systems.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

NATS and Datadog

This plugin reads metrics from NATS subjects, allowing for parallel consumption across multiple instances of Telegraf. It supports various authentication methods and is designed to ensure message reliability and persistence.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

Kubernetes and Datadog

The Kubernetes input plugin gathers metrics about running containers and pods from the Kubelet API, tailored for deployment as a daemonset within a Kubernetes cluster. It enables efficient monitoring of cluster resources and ensures compatibility with supported Kubernetes versions.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

StatsD and Datadog

The StatsD input plugin collects metrics from a StatsD server to facilitate performance monitoring. By functioning as a background listener, it efficiently processes various stat types including gauges and counters.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

Docker and Datadog

Monitor the performance and resource usage of Docker containers. This plugin provides essential metrics for understanding container health and resource consumption.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

Apache and Datadog

This plugin collects performance metrics from the Apache HTTP server using the mod_status module. It provides insights into server load, connections, and worker status.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

Amazon ECS and Datadog

This plugin collects metrics about containers running on AWS ECS, allowing for detailed monitoring and performance analysis. It integrates tightly with AWS services to retrieve metadata and statistics directly from the ECS API.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

ActiveMQ and Datadog

This plugin collects metrics from ActiveMQ using its Console API, including queue sizes and message counts. It enables real-time monitoring of ActiveMQ's performance and health.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

Google Cloud PubSub and Datadog

A plugin for ingesting metrics from Google Cloud PubSub subscriptions, providing real-time data integration capabilities.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

Azure Event Hubs and Datadog

A plugin to consume data from Azure Event Hubs and Azure IoT Hub, facilitating real-time data processing.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

Consul and Datadog

The Consul Input Plugin reports health check statuses from services registered in Consul, enabling real-time operational monitoring. Users can configure connection details, authentication, and how to manage tags associated with health check metrics.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

Google Cloud Stackdriver and Datadog

The Stackdriver input plugin provides functionality to gather metrics from Google Cloud. It simplifies access to a wide range of monitoring data for better insight into cloud operations.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

AWS Data Firehose and Datadog

AWS Data Firehose Input Plugin enables real-time metric ingestion from AWS Data Firehose via HTTP. It supports various data formats and offers security and configuration options for flexible integration.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

Google Cloud Storage and Datadog

Collects metrics from Google Cloud Storage buckets for performance monitoring.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

HAProxy and Datadog

The HAProxy plugin collects metrics from HAProxy servers using either a stats socket or HTTP endpoints, enabling detailed monitoring of server status and performance analytics. This plugin allows for comprehensive visibility into HAProxy's operational metrics, helping administrators ensure optimal load balancing and application performance.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

Jenkins and Datadog

This plugin gathers information about the nodes and jobs running in a Jenkins instance using the Jenkins API. It enables seamless integration and monitoring without requiring any additional Jenkins plugins.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

LDAP and Datadog

The LDAP plugin collects metrics from LDAP servers for performance monitoring. It supports multiple connection schemes and provides detailed server metrics for operational health assessment.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

Nginx and Datadog

The Nginx plugin monitors the performance of Nginx servers, gathering important status information for server performance tracking.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

Hashicorp Nomad and Datadog

The Hashicorp Nomad input plugin collects metrics from Nomad agents in a cluster. It helps in monitoring the health and performance of the Nomad environment.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

OpenStack and Datadog

The OpenStack Telegraf plugin collects metrics from OpenStack services, aiding in performance monitoring. It allows users to configure polling intervals and manage enabled services to optimize data collection.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

Webhooks and Datadog

This plugin provides an HTTP server for handling webhook requests from various services. It handles events and metrics sent to different configured paths, facilitating integration with external systems.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

Tail and Datadog

The Tail plugin monitors log files for new entries and parses log messages. It efficiently handles log rotation and provides various configuration options for optimal performance.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

Azure Monitor and Datadog

The Azure Monitor plugin collects metrics from Azure resources. It provides a way to access detailed performance insights via the Azure Monitor API.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

NSQ and Datadog

This plugin facilitates the consumption of messages from NSQ, a real-time messaging platform. It ensures reliable data processing by managing undelivered messages and integrating various data formats.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

RabbitMQ and Datadog

The RabbitMQ plugin collects metrics from RabbitMQ servers, enabling effective monitoring of message queues and processing. It supports various metrics essential for maintaining the health and performance of RabbitMQ instances.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

Salesforce and Datadog

Salesforce plugin monitors API usage limits in Salesforce organizations. It fetches data through Salesforce's REST API to provide insights on remaining usage and thresholds.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

SNMP Trap and Datadog

The SNMP Trap input plugin allows for receiving and processing SNMP traps and inform requests over UDP. It is essential for network monitoring, enabling integration with a multitude of devices to capture and respond to network events.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

Supervisor and Datadog

The Supervisor plugin collects metrics from processes managed by Supervisor using XML-RPC. It provides insights into process states, uptime, and other relevant metrics for effective monitoring.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

Suricata and Datadog

The Suricata plugin collects performance stats from the Suricata IDS/IPS engine, providing vital insights into network operations. It transforms Suricata's JSON outputs into metrics suitable for Telegraf.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

Syslog and Datadog

Capture syslog messages from various protocols with the Syslog plugin. This plugin allows integration of structured logging data into monitoring systems, utilizing TCP, UDP, and TLS.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

Memcached and Datadog

The Memcached plugin collects real-time metrics from Memcached servers, providing insights into their performance and resource utilization. It is essential for monitoring caching strategies and optimizing application responsiveness.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

Mesos and Datadog

Telegraf's Mesos input plugin collects metrics from Apache Mesos, a leading cluster and resource management system. It provides insights into resource utilization and tasks across the Mesos architecture, aiding in monitoring and performance analysis.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

Apache Zookeeper and Datadog

This plugin gathers metrics from Apache Zookeeper servers using the 'mntr' command output. It helps monitor Zookeeper's performance and operational status efficiently.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

Hashicorp Vault and Datadog

This plugin collects metrics from Hashicorp Vault agents, helping to monitor their performance and health. It requires a valid Vault token for authorization.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

VMware vSphere and Datadog

This plugin collects metrics from VMware vSphere using the vSphere API, including data from clusters, hosts, VMs, datastores, and vSAN. It supports various configuration options to tailor data collection to specific monitoring needs and enhances visibility into the performance of virtual environments.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

Ceph and Datadog

This plugin collects performance metrics from Ceph storage clusters, enhancing observability and facilitating better management. It retrieves data from both MON and OSD nodes, allowing administrators to monitor the health and performance of their storage system.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

DNS and Datadog

This plugin collects DNS query times and provides key metrics for performance monitoring. It allows users to gain insights into the resolution times from specified DNS servers, helping identify potential issues in DNS performance.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

ctrlX Data Layer and Datadog

This plugin gathers data from the ctrlX Data Layer middleware used in professional automation applications. It allows for detailed monitoring and configuration options tailored to specific operational requirements.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

Nvidia SMI and Datadog

This plugin collects GPU statistics from the NVIDIA System Management Interface (SMI), including memory usage, temperature, and more. It utilizes the `nvidia-smi` binary to extract real-time performance metrics from NVIDIA GPUs.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

Intel PowerStat and Datadog

This plugin captures essential power and performance metrics for Intel CPUs, allowing users to optimize workloads and improve energy efficiency. It aids in telemetry and analytics efforts related to CPU usage, temperature, and power consumption.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

iptables and Datadog

The iptables input plugin gathers metrics on packet and byte counters for specified rules within the Linux iptables firewall, allowing for effective monitoring of network traffic through defined rules.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

InfiniBand and Datadog

This plugin collects metrics from InfiniBand devices and ports on Linux systems. It monitors various performance indicators including error rates and packet statistics.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

Wireguard and Datadog

The Wireguard input plugin gathers stats from Wireguard interfaces and their peers, facilitating effective monitoring. By utilizing the wgctrl library, it provides key metrics to administrators for enhanced network management.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

Kibana and Datadog

This plugin queries the Kibana API to fetch the service status and provides various performance metrics. It helps in monitoring Kibana's health, such as its uptime and resource usage efficiently.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

Cisco Model-Driven Telemetry and Datadog

This plugin provides an input method for collecting telemetry data from Cisco devices using model-driven telemetry techniques. It supports flexible transport options and real-time data accessibility.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

Fireboard and Datadog

The Fireboard plugin collects real-time temperature data from Fireboard thermometers. This allows for precise monitoring of temperature-sensitive environments.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

Icinga and Datadog

The Icinga2 Plugin collects real-time status of services and hosts from Icinga2's Remote API. This helps in maintaining an updated view of system health and performance metrics across your infrastructure.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

IPMI Sensor and Datadog

This plugin retrieves sensor data using the IPMI protocol through the `ipmitool`. It can gather metrics from local and remote servers, allowing for enhanced monitoring of hardware status.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

IPVS and Datadog

This input plugin captures metrics for IPVS virtual and real servers. It leverages the Linux kernel's netlink interface for data collection, providing insights into server performance and connections.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

JTI OpenConfig Telemetry and Datadog

The JTI OpenConfig Telemetry plugin facilitates the collection of telemetry data from devices using the Junos Telemetry Interface in real-time. It enables flexible configurations including device addresses, user credentials, and sensor management.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

Kernel and Datadog

This plugin gathers Linux kernel statistics not captured by other plugins, focusing on system metrics and entropy availability.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

Apache Aurora and Datadog

The Aurora plugin collects metrics from Apache Aurora schedulers, facilitating monitoring and operational oversight. It interfaces efficiently with the schedulers to provide key performance metrics essential for cluster health assessment.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

Azure Storage Queue and Datadog

The Azure Storage Queue plugin collects metrics about Azure Storage Queues, focusing on size and message age. It helps improve operational oversight of storage resources in Azure.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

Arista LANZ and Datadog

The Arista LANZ plugin reads metrics from Arista's Latency Analyzer (LANZ) to help monitor network performance. It utilizes a TCP connection to gather data in a Protobuffers format.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

Phillips Hue Bridge and Datadog

The Hue Bridge plugin enables the monitoring of Philips Hue Bridge devices. It collects various metrics related to lighting and environmental conditions from smart home systems.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

Netflow and Datadog

This plugin collects flow data using Netflow v5, v9 and IPFIX protocols, providing insights into network traffic patterns and behaviors. By leveraging this plugin, organizations can enhance their network monitoring capabilities and gain visibility into real-time traffic flows.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

KNX and Datadog

This plugin captures data from the KNX home-automation bus through a KNX-IP interface. It supports customizable measurement definitions and real-time event listening for enhanced smart home automation.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

ntpq and Datadog

Collects metrics from NTP servers using the ntpq executable to monitor time synchronization performance. Key metrics include delay, jitter, offset, and polling information for effective timekeeping.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

MavLink and Datadog

The MavLink input plugin allows the collection of telemetry data from flight controllers, enabling real-time monitoring of unmanned systems. It supports diverse connection methods, including TCP and UDP, while offering configuration flexibility for message filtering.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

Kafka and PostgreSQL

This plugin reads messages from Kafka and allows the creation of metrics based on those messages. It supports various configurations, settings, and message processing options.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

Kinesis and PostgreSQL

The Kinesis plugin allows for reading metrics from AWS Kinesis streams. It supports multiple input data formats and offers checkpointing features with DynamoDB for reliable message processing.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

HTTP and PostgreSQL

The HTTP plugin collects metrics from one or more HTTP(S) endpoints. It supports various authentication methods and configuration options for data formats.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

SNMP and PostgreSQL

The SNMP plugin gathers metrics using SNMP agents through configurable requests. It supports both OIDs and table data collection for comprehensive monitoring.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

Modbus and PostgreSQL

The Modbus plugin enables data collection from Modbus devices via TCP or RTU/ASCII. It supports various configurations for retrieving different types of data from slave devices.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

OPC UA and PostgreSQL

This plugin gathers metrics from OPC UA servers, enabling comprehensive device monitoring. Users can configure various options for connecting to and retrieving data from multiple OPC UA nodes.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

MQTT and PostgreSQL

The MQTT plugin is a service input for reading metrics from specified MQTT topics. It supports various data formats and configuration options for reliable message consumption.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

gNMI and PostgreSQL

The gNMI Input Plugin enables users to collect telemetry data from network devices in real-time. It is designed to work with any gNMI-compliant platform, including various Cisco devices.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

Fluentd and PostgreSQL

Fluentd Input Plugin collects metrics from the Fluentd monitoring endpoint. It helps users monitor fluentd plugins and manage performance efficiently.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

OpenTelemetry and PostgreSQL

The OpenTelemetry Telegraf plugin facilitates the ingestion of telemetry data through gRPC, providing support for traces, metrics, and logs. This ensures that applications can be monitored effectively using the OpenTelemetry standard.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

AMQP and PostgreSQL

This plugin is designed for consuming metrics from AMQP 0-9-1, such as those provided by RabbitMQ. It efficiently reads data from queues and exchanges using configurable parameters, making it ideal for integrated monitoring setups.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

Amazon CloudWatch and PostgreSQL

The Amazon CloudWatch Statistics Input Plugin allows you to gather metric statistics from AWS CloudWatch. It supports flexible authentication and configuration options, making it suitable for various monitoring requirements.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

Zipkin and PostgreSQL

The Zipkin Input Plugin gathers trace and timing data required for troubleshooting latency in microservices. Leveraging spans and annotations, it improves observability and performance tracking in distributed systems.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

NATS and PostgreSQL

This plugin reads metrics from NATS subjects, allowing for parallel consumption across multiple instances of Telegraf. It supports various authentication methods and is designed to ensure message reliability and persistence.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

Kubernetes and PostgreSQL

The Kubernetes input plugin gathers metrics about running containers and pods from the Kubelet API, tailored for deployment as a daemonset within a Kubernetes cluster. It enables efficient monitoring of cluster resources and ensures compatibility with supported Kubernetes versions.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

StatsD and PostgreSQL

The StatsD input plugin collects metrics from a StatsD server to facilitate performance monitoring. By functioning as a background listener, it efficiently processes various stat types including gauges and counters.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

Docker and PostgreSQL

Monitor the performance and resource usage of Docker containers. This plugin provides essential metrics for understanding container health and resource consumption.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

Apache and PostgreSQL

This plugin collects performance metrics from the Apache HTTP server using the mod_status module. It provides insights into server load, connections, and worker status.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

Amazon ECS and PostgreSQL

This plugin collects metrics about containers running on AWS ECS, allowing for detailed monitoring and performance analysis. It integrates tightly with AWS services to retrieve metadata and statistics directly from the ECS API.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

ActiveMQ and PostgreSQL

This plugin collects metrics from ActiveMQ using its Console API, including queue sizes and message counts. It enables real-time monitoring of ActiveMQ's performance and health.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

Google Cloud PubSub and PostgreSQL

A plugin for ingesting metrics from Google Cloud PubSub subscriptions, providing real-time data integration capabilities.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

Azure Event Hubs and PostgreSQL

A plugin to consume data from Azure Event Hubs and Azure IoT Hub, facilitating real-time data processing.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

Consul and PostgreSQL

The Consul Input Plugin reports health check statuses from services registered in Consul, enabling real-time operational monitoring. Users can configure connection details, authentication, and how to manage tags associated with health check metrics.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

Google Cloud Stackdriver and PostgreSQL

The Stackdriver input plugin provides functionality to gather metrics from Google Cloud. It simplifies access to a wide range of monitoring data for better insight into cloud operations.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

AWS Data Firehose and PostgreSQL

AWS Data Firehose Input Plugin enables real-time metric ingestion from AWS Data Firehose via HTTP. It supports various data formats and offers security and configuration options for flexible integration.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

Google Cloud Storage and PostgreSQL

Collects metrics from Google Cloud Storage buckets for performance monitoring.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

HAProxy and PostgreSQL

The HAProxy plugin collects metrics from HAProxy servers using either a stats socket or HTTP endpoints, enabling detailed monitoring of server status and performance analytics. This plugin allows for comprehensive visibility into HAProxy's operational metrics, helping administrators ensure optimal load balancing and application performance.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

Jenkins and PostgreSQL

This plugin gathers information about the nodes and jobs running in a Jenkins instance using the Jenkins API. It enables seamless integration and monitoring without requiring any additional Jenkins plugins.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

LDAP and PostgreSQL

The LDAP plugin collects metrics from LDAP servers for performance monitoring. It supports multiple connection schemes and provides detailed server metrics for operational health assessment.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

Nginx and PostgreSQL

The Nginx plugin monitors the performance of Nginx servers, gathering important status information for server performance tracking.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

Hashicorp Nomad and PostgreSQL

The Hashicorp Nomad input plugin collects metrics from Nomad agents in a cluster. It helps in monitoring the health and performance of the Nomad environment.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

OpenStack and PostgreSQL

The OpenStack Telegraf plugin collects metrics from OpenStack services, aiding in performance monitoring. It allows users to configure polling intervals and manage enabled services to optimize data collection.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

Webhooks and PostgreSQL

This plugin provides an HTTP server for handling webhook requests from various services. It handles events and metrics sent to different configured paths, facilitating integration with external systems.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

Tail and PostgreSQL

The Tail plugin monitors log files for new entries and parses log messages. It efficiently handles log rotation and provides various configuration options for optimal performance.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

Azure Monitor and PostgreSQL

The Azure Monitor plugin collects metrics from Azure resources. It provides a way to access detailed performance insights via the Azure Monitor API.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

NSQ and PostgreSQL

This plugin facilitates the consumption of messages from NSQ, a real-time messaging platform. It ensures reliable data processing by managing undelivered messages and integrating various data formats.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

RabbitMQ and PostgreSQL

The RabbitMQ plugin collects metrics from RabbitMQ servers, enabling effective monitoring of message queues and processing. It supports various metrics essential for maintaining the health and performance of RabbitMQ instances.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

Salesforce and PostgreSQL

Salesforce plugin monitors API usage limits in Salesforce organizations. It fetches data through Salesforce's REST API to provide insights on remaining usage and thresholds.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

SNMP Trap and PostgreSQL

The SNMP Trap input plugin allows for receiving and processing SNMP traps and inform requests over UDP. It is essential for network monitoring, enabling integration with a multitude of devices to capture and respond to network events.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

Supervisor and PostgreSQL

The Supervisor plugin collects metrics from processes managed by Supervisor using XML-RPC. It provides insights into process states, uptime, and other relevant metrics for effective monitoring.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

Suricata and PostgreSQL

The Suricata plugin collects performance stats from the Suricata IDS/IPS engine, providing vital insights into network operations. It transforms Suricata's JSON outputs into metrics suitable for Telegraf.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

Syslog and PostgreSQL

Capture syslog messages from various protocols with the Syslog plugin. This plugin allows integration of structured logging data into monitoring systems, utilizing TCP, UDP, and TLS.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

Memcached and PostgreSQL

The Memcached plugin collects real-time metrics from Memcached servers, providing insights into their performance and resource utilization. It is essential for monitoring caching strategies and optimizing application responsiveness.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

Mesos and PostgreSQL

Telegraf's Mesos input plugin collects metrics from Apache Mesos, a leading cluster and resource management system. It provides insights into resource utilization and tasks across the Mesos architecture, aiding in monitoring and performance analysis.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

Apache Zookeeper and PostgreSQL

This plugin gathers metrics from Apache Zookeeper servers using the 'mntr' command output. It helps monitor Zookeeper's performance and operational status efficiently.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

Hashicorp Vault and PostgreSQL

This plugin collects metrics from Hashicorp Vault agents, helping to monitor their performance and health. It requires a valid Vault token for authorization.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

VMware vSphere and PostgreSQL

This plugin collects metrics from VMware vSphere using the vSphere API, including data from clusters, hosts, VMs, datastores, and vSAN. It supports various configuration options to tailor data collection to specific monitoring needs and enhances visibility into the performance of virtual environments.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

Ceph and PostgreSQL

This plugin collects performance metrics from Ceph storage clusters, enhancing observability and facilitating better management. It retrieves data from both MON and OSD nodes, allowing administrators to monitor the health and performance of their storage system.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

DNS and PostgreSQL

This plugin collects DNS query times and provides key metrics for performance monitoring. It allows users to gain insights into the resolution times from specified DNS servers, helping identify potential issues in DNS performance.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

ctrlX Data Layer and PostgreSQL

This plugin gathers data from the ctrlX Data Layer middleware used in professional automation applications. It allows for detailed monitoring and configuration options tailored to specific operational requirements.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

Nvidia SMI and PostgreSQL

This plugin collects GPU statistics from the NVIDIA System Management Interface (SMI), including memory usage, temperature, and more. It utilizes the `nvidia-smi` binary to extract real-time performance metrics from NVIDIA GPUs.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

Intel PowerStat and PostgreSQL

This plugin captures essential power and performance metrics for Intel CPUs, allowing users to optimize workloads and improve energy efficiency. It aids in telemetry and analytics efforts related to CPU usage, temperature, and power consumption.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

iptables and PostgreSQL

The iptables input plugin gathers metrics on packet and byte counters for specified rules within the Linux iptables firewall, allowing for effective monitoring of network traffic through defined rules.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

InfiniBand and PostgreSQL

This plugin collects metrics from InfiniBand devices and ports on Linux systems. It monitors various performance indicators including error rates and packet statistics.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

Wireguard and PostgreSQL

The Wireguard input plugin gathers stats from Wireguard interfaces and their peers, facilitating effective monitoring. By utilizing the wgctrl library, it provides key metrics to administrators for enhanced network management.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

Kibana and PostgreSQL

This plugin queries the Kibana API to fetch the service status and provides various performance metrics. It helps in monitoring Kibana's health, such as its uptime and resource usage efficiently.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

Cisco Model-Driven Telemetry and PostgreSQL

This plugin provides an input method for collecting telemetry data from Cisco devices using model-driven telemetry techniques. It supports flexible transport options and real-time data accessibility.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

Fireboard and PostgreSQL

The Fireboard plugin collects real-time temperature data from Fireboard thermometers. This allows for precise monitoring of temperature-sensitive environments.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

Icinga and PostgreSQL

The Icinga2 Plugin collects real-time status of services and hosts from Icinga2's Remote API. This helps in maintaining an updated view of system health and performance metrics across your infrastructure.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

IPMI Sensor and PostgreSQL

This plugin retrieves sensor data using the IPMI protocol through the `ipmitool`. It can gather metrics from local and remote servers, allowing for enhanced monitoring of hardware status.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

IPVS and PostgreSQL

This input plugin captures metrics for IPVS virtual and real servers. It leverages the Linux kernel's netlink interface for data collection, providing insights into server performance and connections.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

JTI OpenConfig Telemetry and PostgreSQL

The JTI OpenConfig Telemetry plugin facilitates the collection of telemetry data from devices using the Junos Telemetry Interface in real-time. It enables flexible configurations including device addresses, user credentials, and sensor management.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

Kernel and PostgreSQL

This plugin gathers Linux kernel statistics not captured by other plugins, focusing on system metrics and entropy availability.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

Apache Aurora and PostgreSQL

The Aurora plugin collects metrics from Apache Aurora schedulers, facilitating monitoring and operational oversight. It interfaces efficiently with the schedulers to provide key performance metrics essential for cluster health assessment.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

Azure Storage Queue and PostgreSQL

The Azure Storage Queue plugin collects metrics about Azure Storage Queues, focusing on size and message age. It helps improve operational oversight of storage resources in Azure.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

Arista LANZ and PostgreSQL

The Arista LANZ plugin reads metrics from Arista's Latency Analyzer (LANZ) to help monitor network performance. It utilizes a TCP connection to gather data in a Protobuffers format.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

Phillips Hue Bridge and PostgreSQL

The Hue Bridge plugin enables the monitoring of Philips Hue Bridge devices. It collects various metrics related to lighting and environmental conditions from smart home systems.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

Netflow and PostgreSQL

This plugin collects flow data using Netflow v5, v9 and IPFIX protocols, providing insights into network traffic patterns and behaviors. By leveraging this plugin, organizations can enhance their network monitoring capabilities and gain visibility into real-time traffic flows.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

KNX and PostgreSQL

This plugin captures data from the KNX home-automation bus through a KNX-IP interface. It supports customizable measurement definitions and real-time event listening for enhanced smart home automation.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

ntpq and PostgreSQL

Collects metrics from NTP servers using the ntpq executable to monitor time synchronization performance. Key metrics include delay, jitter, offset, and polling information for effective timekeeping.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

MavLink and PostgreSQL

The MavLink input plugin allows the collection of telemetry data from flight controllers, enabling real-time monitoring of unmanned systems. It supports diverse connection methods, including TCP and UDP, while offering configuration flexibility for message filtering.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

Kafka and Elasticsearch

This plugin reads messages from Kafka and allows the creation of metrics based on those messages. It supports various configurations, settings, and message processing options.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

Kinesis and Elasticsearch

The Kinesis plugin allows for reading metrics from AWS Kinesis streams. It supports multiple input data formats and offers checkpointing features with DynamoDB for reliable message processing.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

HTTP and Elasticsearch

The HTTP plugin collects metrics from one or more HTTP(S) endpoints. It supports various authentication methods and configuration options for data formats.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

SNMP and Elasticsearch

The SNMP plugin gathers metrics using SNMP agents through configurable requests. It supports both OIDs and table data collection for comprehensive monitoring.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

Modbus and Elasticsearch

The Modbus plugin enables data collection from Modbus devices via TCP or RTU/ASCII. It supports various configurations for retrieving different types of data from slave devices.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

OPC UA and Elasticsearch

This plugin gathers metrics from OPC UA servers, enabling comprehensive device monitoring. Users can configure various options for connecting to and retrieving data from multiple OPC UA nodes.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

MQTT and Elasticsearch

The MQTT plugin is a service input for reading metrics from specified MQTT topics. It supports various data formats and configuration options for reliable message consumption.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

gNMI and Elasticsearch

The gNMI Input Plugin enables users to collect telemetry data from network devices in real-time. It is designed to work with any gNMI-compliant platform, including various Cisco devices.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

Fluentd and Elasticsearch

Fluentd Input Plugin collects metrics from the Fluentd monitoring endpoint. It helps users monitor fluentd plugins and manage performance efficiently.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

OpenTelemetry and Elasticsearch

The OpenTelemetry Telegraf plugin facilitates the ingestion of telemetry data through gRPC, providing support for traces, metrics, and logs. This ensures that applications can be monitored effectively using the OpenTelemetry standard.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

AMQP and Elasticsearch

This plugin is designed for consuming metrics from AMQP 0-9-1, such as those provided by RabbitMQ. It efficiently reads data from queues and exchanges using configurable parameters, making it ideal for integrated monitoring setups.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

Amazon CloudWatch and Elasticsearch

The Amazon CloudWatch Statistics Input Plugin allows you to gather metric statistics from AWS CloudWatch. It supports flexible authentication and configuration options, making it suitable for various monitoring requirements.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

Zipkin and Elasticsearch

The Zipkin Input Plugin gathers trace and timing data required for troubleshooting latency in microservices. Leveraging spans and annotations, it improves observability and performance tracking in distributed systems.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

NATS and Elasticsearch

This plugin reads metrics from NATS subjects, allowing for parallel consumption across multiple instances of Telegraf. It supports various authentication methods and is designed to ensure message reliability and persistence.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

Kubernetes and Elasticsearch

The Kubernetes input plugin gathers metrics about running containers and pods from the Kubelet API, tailored for deployment as a daemonset within a Kubernetes cluster. It enables efficient monitoring of cluster resources and ensures compatibility with supported Kubernetes versions.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

StatsD and Elasticsearch

The StatsD input plugin collects metrics from a StatsD server to facilitate performance monitoring. By functioning as a background listener, it efficiently processes various stat types including gauges and counters.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

Docker and Elasticsearch

Monitor the performance and resource usage of Docker containers. This plugin provides essential metrics for understanding container health and resource consumption.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

Apache and Elasticsearch

This plugin collects performance metrics from the Apache HTTP server using the mod_status module. It provides insights into server load, connections, and worker status.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

Amazon ECS and Elasticsearch

This plugin collects metrics about containers running on AWS ECS, allowing for detailed monitoring and performance analysis. It integrates tightly with AWS services to retrieve metadata and statistics directly from the ECS API.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

ActiveMQ and Elasticsearch

This plugin collects metrics from ActiveMQ using its Console API, including queue sizes and message counts. It enables real-time monitoring of ActiveMQ's performance and health.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

Google Cloud PubSub and Elasticsearch

A plugin for ingesting metrics from Google Cloud PubSub subscriptions, providing real-time data integration capabilities.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

Azure Event Hubs and Elasticsearch

A plugin to consume data from Azure Event Hubs and Azure IoT Hub, facilitating real-time data processing.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

Consul and Elasticsearch

The Consul Input Plugin reports health check statuses from services registered in Consul, enabling real-time operational monitoring. Users can configure connection details, authentication, and how to manage tags associated with health check metrics.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

Google Cloud Stackdriver and Elasticsearch

The Stackdriver input plugin provides functionality to gather metrics from Google Cloud. It simplifies access to a wide range of monitoring data for better insight into cloud operations.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

AWS Data Firehose and Elasticsearch

AWS Data Firehose Input Plugin enables real-time metric ingestion from AWS Data Firehose via HTTP. It supports various data formats and offers security and configuration options for flexible integration.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

Google Cloud Storage and Elasticsearch

Collects metrics from Google Cloud Storage buckets for performance monitoring.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

HAProxy and Elasticsearch

The HAProxy plugin collects metrics from HAProxy servers using either a stats socket or HTTP endpoints, enabling detailed monitoring of server status and performance analytics. This plugin allows for comprehensive visibility into HAProxy's operational metrics, helping administrators ensure optimal load balancing and application performance.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

Jenkins and Elasticsearch

This plugin gathers information about the nodes and jobs running in a Jenkins instance using the Jenkins API. It enables seamless integration and monitoring without requiring any additional Jenkins plugins.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

LDAP and Elasticsearch

The LDAP plugin collects metrics from LDAP servers for performance monitoring. It supports multiple connection schemes and provides detailed server metrics for operational health assessment.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

Nginx and Elasticsearch

The Nginx plugin monitors the performance of Nginx servers, gathering important status information for server performance tracking.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

Hashicorp Nomad and Elasticsearch

The Hashicorp Nomad input plugin collects metrics from Nomad agents in a cluster. It helps in monitoring the health and performance of the Nomad environment.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

OpenStack and Elasticsearch

The OpenStack Telegraf plugin collects metrics from OpenStack services, aiding in performance monitoring. It allows users to configure polling intervals and manage enabled services to optimize data collection.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

Webhooks and Elasticsearch

This plugin provides an HTTP server for handling webhook requests from various services. It handles events and metrics sent to different configured paths, facilitating integration with external systems.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

Tail and Elasticsearch

The Tail plugin monitors log files for new entries and parses log messages. It efficiently handles log rotation and provides various configuration options for optimal performance.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

Azure Monitor and Elasticsearch

The Azure Monitor plugin collects metrics from Azure resources. It provides a way to access detailed performance insights via the Azure Monitor API.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

NSQ and Elasticsearch

This plugin facilitates the consumption of messages from NSQ, a real-time messaging platform. It ensures reliable data processing by managing undelivered messages and integrating various data formats.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

RabbitMQ and Elasticsearch

The RabbitMQ plugin collects metrics from RabbitMQ servers, enabling effective monitoring of message queues and processing. It supports various metrics essential for maintaining the health and performance of RabbitMQ instances.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

Salesforce and Elasticsearch

Salesforce plugin monitors API usage limits in Salesforce organizations. It fetches data through Salesforce's REST API to provide insights on remaining usage and thresholds.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

SNMP Trap and Elasticsearch

The SNMP Trap input plugin allows for receiving and processing SNMP traps and inform requests over UDP. It is essential for network monitoring, enabling integration with a multitude of devices to capture and respond to network events.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

Supervisor and Elasticsearch

The Supervisor plugin collects metrics from processes managed by Supervisor using XML-RPC. It provides insights into process states, uptime, and other relevant metrics for effective monitoring.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

Suricata and Elasticsearch

The Suricata plugin collects performance stats from the Suricata IDS/IPS engine, providing vital insights into network operations. It transforms Suricata's JSON outputs into metrics suitable for Telegraf.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

Syslog and Elasticsearch

Capture syslog messages from various protocols with the Syslog plugin. This plugin allows integration of structured logging data into monitoring systems, utilizing TCP, UDP, and TLS.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

Memcached and Elasticsearch

The Memcached plugin collects real-time metrics from Memcached servers, providing insights into their performance and resource utilization. It is essential for monitoring caching strategies and optimizing application responsiveness.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

Mesos and Elasticsearch

Telegraf's Mesos input plugin collects metrics from Apache Mesos, a leading cluster and resource management system. It provides insights into resource utilization and tasks across the Mesos architecture, aiding in monitoring and performance analysis.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

Apache Zookeeper and Elasticsearch

This plugin gathers metrics from Apache Zookeeper servers using the 'mntr' command output. It helps monitor Zookeeper's performance and operational status efficiently.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

Hashicorp Vault and Elasticsearch

This plugin collects metrics from Hashicorp Vault agents, helping to monitor their performance and health. It requires a valid Vault token for authorization.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

VMware vSphere and Elasticsearch

This plugin collects metrics from VMware vSphere using the vSphere API, including data from clusters, hosts, VMs, datastores, and vSAN. It supports various configuration options to tailor data collection to specific monitoring needs and enhances visibility into the performance of virtual environments.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

Ceph and Elasticsearch

This plugin collects performance metrics from Ceph storage clusters, enhancing observability and facilitating better management. It retrieves data from both MON and OSD nodes, allowing administrators to monitor the health and performance of their storage system.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

DNS and Elasticsearch

This plugin collects DNS query times and provides key metrics for performance monitoring. It allows users to gain insights into the resolution times from specified DNS servers, helping identify potential issues in DNS performance.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

ctrlX Data Layer and Elasticsearch

This plugin gathers data from the ctrlX Data Layer middleware used in professional automation applications. It allows for detailed monitoring and configuration options tailored to specific operational requirements.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

Nvidia SMI and Elasticsearch

This plugin collects GPU statistics from the NVIDIA System Management Interface (SMI), including memory usage, temperature, and more. It utilizes the `nvidia-smi` binary to extract real-time performance metrics from NVIDIA GPUs.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

Intel PowerStat and Elasticsearch

This plugin captures essential power and performance metrics for Intel CPUs, allowing users to optimize workloads and improve energy efficiency. It aids in telemetry and analytics efforts related to CPU usage, temperature, and power consumption.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

iptables and Elasticsearch

The iptables input plugin gathers metrics on packet and byte counters for specified rules within the Linux iptables firewall, allowing for effective monitoring of network traffic through defined rules.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

InfiniBand and Elasticsearch

This plugin collects metrics from InfiniBand devices and ports on Linux systems. It monitors various performance indicators including error rates and packet statistics.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

Wireguard and Elasticsearch

The Wireguard input plugin gathers stats from Wireguard interfaces and their peers, facilitating effective monitoring. By utilizing the wgctrl library, it provides key metrics to administrators for enhanced network management.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

Kibana and Elasticsearch

This plugin queries the Kibana API to fetch the service status and provides various performance metrics. It helps in monitoring Kibana's health, such as its uptime and resource usage efficiently.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

Cisco Model-Driven Telemetry and Elasticsearch

This plugin provides an input method for collecting telemetry data from Cisco devices using model-driven telemetry techniques. It supports flexible transport options and real-time data accessibility.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

Fireboard and Elasticsearch

The Fireboard plugin collects real-time temperature data from Fireboard thermometers. This allows for precise monitoring of temperature-sensitive environments.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

Icinga and Elasticsearch

The Icinga2 Plugin collects real-time status of services and hosts from Icinga2's Remote API. This helps in maintaining an updated view of system health and performance metrics across your infrastructure.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

IPMI Sensor and Elasticsearch

This plugin retrieves sensor data using the IPMI protocol through the `ipmitool`. It can gather metrics from local and remote servers, allowing for enhanced monitoring of hardware status.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

IPVS and Elasticsearch

This input plugin captures metrics for IPVS virtual and real servers. It leverages the Linux kernel's netlink interface for data collection, providing insights into server performance and connections.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

JTI OpenConfig Telemetry and Elasticsearch

The JTI OpenConfig Telemetry plugin facilitates the collection of telemetry data from devices using the Junos Telemetry Interface in real-time. It enables flexible configurations including device addresses, user credentials, and sensor management.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

Kernel and Elasticsearch

This plugin gathers Linux kernel statistics not captured by other plugins, focusing on system metrics and entropy availability.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

Apache Aurora and Elasticsearch

The Aurora plugin collects metrics from Apache Aurora schedulers, facilitating monitoring and operational oversight. It interfaces efficiently with the schedulers to provide key performance metrics essential for cluster health assessment.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

Azure Storage Queue and Elasticsearch

The Azure Storage Queue plugin collects metrics about Azure Storage Queues, focusing on size and message age. It helps improve operational oversight of storage resources in Azure.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

Arista LANZ and Elasticsearch

The Arista LANZ plugin reads metrics from Arista's Latency Analyzer (LANZ) to help monitor network performance. It utilizes a TCP connection to gather data in a Protobuffers format.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

Phillips Hue Bridge and Elasticsearch

The Hue Bridge plugin enables the monitoring of Philips Hue Bridge devices. It collects various metrics related to lighting and environmental conditions from smart home systems.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

Netflow and Elasticsearch

This plugin collects flow data using Netflow v5, v9 and IPFIX protocols, providing insights into network traffic patterns and behaviors. By leveraging this plugin, organizations can enhance their network monitoring capabilities and gain visibility into real-time traffic flows.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

KNX and Elasticsearch

This plugin captures data from the KNX home-automation bus through a KNX-IP interface. It supports customizable measurement definitions and real-time event listening for enhanced smart home automation.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

ntpq and Elasticsearch

Collects metrics from NTP servers using the ntpq executable to monitor time synchronization performance. Key metrics include delay, jitter, offset, and polling information for effective timekeeping.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

MavLink and Elasticsearch

The MavLink input plugin allows the collection of telemetry data from flight controllers, enabling real-time monitoring of unmanned systems. It supports diverse connection methods, including TCP and UDP, while offering configuration flexibility for message filtering.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

Kafka and MongoDB

This plugin reads messages from Kafka and allows the creation of metrics based on those messages. It supports various configurations, settings, and message processing options.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

Kinesis and MongoDB

The Kinesis plugin allows for reading metrics from AWS Kinesis streams. It supports multiple input data formats and offers checkpointing features with DynamoDB for reliable message processing.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

HTTP and MongoDB

The HTTP plugin collects metrics from one or more HTTP(S) endpoints. It supports various authentication methods and configuration options for data formats.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

SNMP and MongoDB

The SNMP plugin gathers metrics using SNMP agents through configurable requests. It supports both OIDs and table data collection for comprehensive monitoring.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

Modbus and MongoDB

The Modbus plugin enables data collection from Modbus devices via TCP or RTU/ASCII. It supports various configurations for retrieving different types of data from slave devices.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

OPC UA and MongoDB

This plugin gathers metrics from OPC UA servers, enabling comprehensive device monitoring. Users can configure various options for connecting to and retrieving data from multiple OPC UA nodes.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

MQTT and MongoDB

The MQTT plugin is a service input for reading metrics from specified MQTT topics. It supports various data formats and configuration options for reliable message consumption.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

gNMI and MongoDB

The gNMI Input Plugin enables users to collect telemetry data from network devices in real-time. It is designed to work with any gNMI-compliant platform, including various Cisco devices.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

Fluentd and MongoDB

Fluentd Input Plugin collects metrics from the Fluentd monitoring endpoint. It helps users monitor fluentd plugins and manage performance efficiently.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

OpenTelemetry and MongoDB

The OpenTelemetry Telegraf plugin facilitates the ingestion of telemetry data through gRPC, providing support for traces, metrics, and logs. This ensures that applications can be monitored effectively using the OpenTelemetry standard.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

AMQP and MongoDB

This plugin is designed for consuming metrics from AMQP 0-9-1, such as those provided by RabbitMQ. It efficiently reads data from queues and exchanges using configurable parameters, making it ideal for integrated monitoring setups.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

Amazon CloudWatch and MongoDB

The Amazon CloudWatch Statistics Input Plugin allows you to gather metric statistics from AWS CloudWatch. It supports flexible authentication and configuration options, making it suitable for various monitoring requirements.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

Zipkin and MongoDB

The Zipkin Input Plugin gathers trace and timing data required for troubleshooting latency in microservices. Leveraging spans and annotations, it improves observability and performance tracking in distributed systems.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

NATS and MongoDB

This plugin reads metrics from NATS subjects, allowing for parallel consumption across multiple instances of Telegraf. It supports various authentication methods and is designed to ensure message reliability and persistence.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

Kubernetes and MongoDB

The Kubernetes input plugin gathers metrics about running containers and pods from the Kubelet API, tailored for deployment as a daemonset within a Kubernetes cluster. It enables efficient monitoring of cluster resources and ensures compatibility with supported Kubernetes versions.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

StatsD and MongoDB

The StatsD input plugin collects metrics from a StatsD server to facilitate performance monitoring. By functioning as a background listener, it efficiently processes various stat types including gauges and counters.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

Docker and MongoDB

Monitor the performance and resource usage of Docker containers. This plugin provides essential metrics for understanding container health and resource consumption.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

Apache and MongoDB

This plugin collects performance metrics from the Apache HTTP server using the mod_status module. It provides insights into server load, connections, and worker status.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

Amazon ECS and MongoDB

This plugin collects metrics about containers running on AWS ECS, allowing for detailed monitoring and performance analysis. It integrates tightly with AWS services to retrieve metadata and statistics directly from the ECS API.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

ActiveMQ and MongoDB

This plugin collects metrics from ActiveMQ using its Console API, including queue sizes and message counts. It enables real-time monitoring of ActiveMQ's performance and health.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

Google Cloud PubSub and MongoDB

A plugin for ingesting metrics from Google Cloud PubSub subscriptions, providing real-time data integration capabilities.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

Azure Event Hubs and MongoDB

A plugin to consume data from Azure Event Hubs and Azure IoT Hub, facilitating real-time data processing.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

Consul and MongoDB

The Consul Input Plugin reports health check statuses from services registered in Consul, enabling real-time operational monitoring. Users can configure connection details, authentication, and how to manage tags associated with health check metrics.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

Google Cloud Stackdriver and MongoDB

The Stackdriver input plugin provides functionality to gather metrics from Google Cloud. It simplifies access to a wide range of monitoring data for better insight into cloud operations.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

AWS Data Firehose and MongoDB

AWS Data Firehose Input Plugin enables real-time metric ingestion from AWS Data Firehose via HTTP. It supports various data formats and offers security and configuration options for flexible integration.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

Google Cloud Storage and MongoDB

Collects metrics from Google Cloud Storage buckets for performance monitoring.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

HAProxy and MongoDB

The HAProxy plugin collects metrics from HAProxy servers using either a stats socket or HTTP endpoints, enabling detailed monitoring of server status and performance analytics. This plugin allows for comprehensive visibility into HAProxy's operational metrics, helping administrators ensure optimal load balancing and application performance.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

Jenkins and MongoDB

This plugin gathers information about the nodes and jobs running in a Jenkins instance using the Jenkins API. It enables seamless integration and monitoring without requiring any additional Jenkins plugins.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

LDAP and MongoDB

The LDAP plugin collects metrics from LDAP servers for performance monitoring. It supports multiple connection schemes and provides detailed server metrics for operational health assessment.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

Nginx and MongoDB

The Nginx plugin monitors the performance of Nginx servers, gathering important status information for server performance tracking.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

Hashicorp Nomad and MongoDB

The Hashicorp Nomad input plugin collects metrics from Nomad agents in a cluster. It helps in monitoring the health and performance of the Nomad environment.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

OpenStack and MongoDB

The OpenStack Telegraf plugin collects metrics from OpenStack services, aiding in performance monitoring. It allows users to configure polling intervals and manage enabled services to optimize data collection.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

Webhooks and MongoDB

This plugin provides an HTTP server for handling webhook requests from various services. It handles events and metrics sent to different configured paths, facilitating integration with external systems.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

Tail and MongoDB

The Tail plugin monitors log files for new entries and parses log messages. It efficiently handles log rotation and provides various configuration options for optimal performance.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

Azure Monitor and MongoDB

The Azure Monitor plugin collects metrics from Azure resources. It provides a way to access detailed performance insights via the Azure Monitor API.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

NSQ and MongoDB

This plugin facilitates the consumption of messages from NSQ, a real-time messaging platform. It ensures reliable data processing by managing undelivered messages and integrating various data formats.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

RabbitMQ and MongoDB

The RabbitMQ plugin collects metrics from RabbitMQ servers, enabling effective monitoring of message queues and processing. It supports various metrics essential for maintaining the health and performance of RabbitMQ instances.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

Salesforce and MongoDB

Salesforce plugin monitors API usage limits in Salesforce organizations. It fetches data through Salesforce's REST API to provide insights on remaining usage and thresholds.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

SNMP Trap and MongoDB

The SNMP Trap input plugin allows for receiving and processing SNMP traps and inform requests over UDP. It is essential for network monitoring, enabling integration with a multitude of devices to capture and respond to network events.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

Supervisor and MongoDB

The Supervisor plugin collects metrics from processes managed by Supervisor using XML-RPC. It provides insights into process states, uptime, and other relevant metrics for effective monitoring.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

Suricata and MongoDB

The Suricata plugin collects performance stats from the Suricata IDS/IPS engine, providing vital insights into network operations. It transforms Suricata's JSON outputs into metrics suitable for Telegraf.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

Syslog and MongoDB

Capture syslog messages from various protocols with the Syslog plugin. This plugin allows integration of structured logging data into monitoring systems, utilizing TCP, UDP, and TLS.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

Memcached and MongoDB

The Memcached plugin collects real-time metrics from Memcached servers, providing insights into their performance and resource utilization. It is essential for monitoring caching strategies and optimizing application responsiveness.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

Mesos and MongoDB

Telegraf's Mesos input plugin collects metrics from Apache Mesos, a leading cluster and resource management system. It provides insights into resource utilization and tasks across the Mesos architecture, aiding in monitoring and performance analysis.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

Apache Zookeeper and MongoDB

This plugin gathers metrics from Apache Zookeeper servers using the 'mntr' command output. It helps monitor Zookeeper's performance and operational status efficiently.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

Hashicorp Vault and MongoDB

This plugin collects metrics from Hashicorp Vault agents, helping to monitor their performance and health. It requires a valid Vault token for authorization.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

VMware vSphere and MongoDB

This plugin collects metrics from VMware vSphere using the vSphere API, including data from clusters, hosts, VMs, datastores, and vSAN. It supports various configuration options to tailor data collection to specific monitoring needs and enhances visibility into the performance of virtual environments.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

Ceph and MongoDB

This plugin collects performance metrics from Ceph storage clusters, enhancing observability and facilitating better management. It retrieves data from both MON and OSD nodes, allowing administrators to monitor the health and performance of their storage system.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

DNS and MongoDB

This plugin collects DNS query times and provides key metrics for performance monitoring. It allows users to gain insights into the resolution times from specified DNS servers, helping identify potential issues in DNS performance.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

ctrlX Data Layer and MongoDB

This plugin gathers data from the ctrlX Data Layer middleware used in professional automation applications. It allows for detailed monitoring and configuration options tailored to specific operational requirements.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

Nvidia SMI and MongoDB

This plugin collects GPU statistics from the NVIDIA System Management Interface (SMI), including memory usage, temperature, and more. It utilizes the `nvidia-smi` binary to extract real-time performance metrics from NVIDIA GPUs.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

Intel PowerStat and MongoDB

This plugin captures essential power and performance metrics for Intel CPUs, allowing users to optimize workloads and improve energy efficiency. It aids in telemetry and analytics efforts related to CPU usage, temperature, and power consumption.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

iptables and MongoDB

The iptables input plugin gathers metrics on packet and byte counters for specified rules within the Linux iptables firewall, allowing for effective monitoring of network traffic through defined rules.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

InfiniBand and MongoDB

This plugin collects metrics from InfiniBand devices and ports on Linux systems. It monitors various performance indicators including error rates and packet statistics.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

Wireguard and MongoDB

The Wireguard input plugin gathers stats from Wireguard interfaces and their peers, facilitating effective monitoring. By utilizing the wgctrl library, it provides key metrics to administrators for enhanced network management.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

Kibana and MongoDB

This plugin queries the Kibana API to fetch the service status and provides various performance metrics. It helps in monitoring Kibana's health, such as its uptime and resource usage efficiently.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

Cisco Model-Driven Telemetry and MongoDB

This plugin provides an input method for collecting telemetry data from Cisco devices using model-driven telemetry techniques. It supports flexible transport options and real-time data accessibility.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

Fireboard and MongoDB

The Fireboard plugin collects real-time temperature data from Fireboard thermometers. This allows for precise monitoring of temperature-sensitive environments.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

Icinga and MongoDB

The Icinga2 Plugin collects real-time status of services and hosts from Icinga2's Remote API. This helps in maintaining an updated view of system health and performance metrics across your infrastructure.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

IPMI Sensor and MongoDB

This plugin retrieves sensor data using the IPMI protocol through the `ipmitool`. It can gather metrics from local and remote servers, allowing for enhanced monitoring of hardware status.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

IPVS and MongoDB

This input plugin captures metrics for IPVS virtual and real servers. It leverages the Linux kernel's netlink interface for data collection, providing insights into server performance and connections.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

JTI OpenConfig Telemetry and MongoDB

The JTI OpenConfig Telemetry plugin facilitates the collection of telemetry data from devices using the Junos Telemetry Interface in real-time. It enables flexible configurations including device addresses, user credentials, and sensor management.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

Kernel and MongoDB

This plugin gathers Linux kernel statistics not captured by other plugins, focusing on system metrics and entropy availability.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

Apache Aurora and MongoDB

The Aurora plugin collects metrics from Apache Aurora schedulers, facilitating monitoring and operational oversight. It interfaces efficiently with the schedulers to provide key performance metrics essential for cluster health assessment.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

Azure Storage Queue and MongoDB

The Azure Storage Queue plugin collects metrics about Azure Storage Queues, focusing on size and message age. It helps improve operational oversight of storage resources in Azure.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

Arista LANZ and MongoDB

The Arista LANZ plugin reads metrics from Arista's Latency Analyzer (LANZ) to help monitor network performance. It utilizes a TCP connection to gather data in a Protobuffers format.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

Phillips Hue Bridge and MongoDB

The Hue Bridge plugin enables the monitoring of Philips Hue Bridge devices. It collects various metrics related to lighting and environmental conditions from smart home systems.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

Netflow and MongoDB

This plugin collects flow data using Netflow v5, v9 and IPFIX protocols, providing insights into network traffic patterns and behaviors. By leveraging this plugin, organizations can enhance their network monitoring capabilities and gain visibility into real-time traffic flows.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

KNX and MongoDB

This plugin captures data from the KNX home-automation bus through a KNX-IP interface. It supports customizable measurement definitions and real-time event listening for enhanced smart home automation.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

ntpq and MongoDB

Collects metrics from NTP servers using the ntpq executable to monitor time synchronization performance. Key metrics include delay, jitter, offset, and polling information for effective timekeeping.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

MavLink and MongoDB

The MavLink input plugin allows the collection of telemetry data from flight controllers, enabling real-time monitoring of unmanned systems. It supports diverse connection methods, including TCP and UDP, while offering configuration flexibility for message filtering.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

Kafka and Google BigQuery

This plugin reads messages from Kafka and allows the creation of metrics based on those messages. It supports various configurations, settings, and message processing options.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

Kinesis and Google BigQuery

The Kinesis plugin allows for reading metrics from AWS Kinesis streams. It supports multiple input data formats and offers checkpointing features with DynamoDB for reliable message processing.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

HTTP and Google BigQuery

The HTTP plugin collects metrics from one or more HTTP(S) endpoints. It supports various authentication methods and configuration options for data formats.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

SNMP and Google BigQuery

The SNMP plugin gathers metrics using SNMP agents through configurable requests. It supports both OIDs and table data collection for comprehensive monitoring.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

Modbus and Google BigQuery

The Modbus plugin enables data collection from Modbus devices via TCP or RTU/ASCII. It supports various configurations for retrieving different types of data from slave devices.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

OPC UA and Google BigQuery

This plugin gathers metrics from OPC UA servers, enabling comprehensive device monitoring. Users can configure various options for connecting to and retrieving data from multiple OPC UA nodes.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

MQTT and Google BigQuery

The MQTT plugin is a service input for reading metrics from specified MQTT topics. It supports various data formats and configuration options for reliable message consumption.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

gNMI and Google BigQuery

The gNMI Input Plugin enables users to collect telemetry data from network devices in real-time. It is designed to work with any gNMI-compliant platform, including various Cisco devices.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

Fluentd and Google BigQuery

Fluentd Input Plugin collects metrics from the Fluentd monitoring endpoint. It helps users monitor fluentd plugins and manage performance efficiently.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

OpenTelemetry and Google BigQuery

The OpenTelemetry Telegraf plugin facilitates the ingestion of telemetry data through gRPC, providing support for traces, metrics, and logs. This ensures that applications can be monitored effectively using the OpenTelemetry standard.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

AMQP and Google BigQuery

This plugin is designed for consuming metrics from AMQP 0-9-1, such as those provided by RabbitMQ. It efficiently reads data from queues and exchanges using configurable parameters, making it ideal for integrated monitoring setups.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

Amazon CloudWatch and Google BigQuery

The Amazon CloudWatch Statistics Input Plugin allows you to gather metric statistics from AWS CloudWatch. It supports flexible authentication and configuration options, making it suitable for various monitoring requirements.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

Zipkin and Google BigQuery

The Zipkin Input Plugin gathers trace and timing data required for troubleshooting latency in microservices. Leveraging spans and annotations, it improves observability and performance tracking in distributed systems.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

NATS and Google BigQuery

This plugin reads metrics from NATS subjects, allowing for parallel consumption across multiple instances of Telegraf. It supports various authentication methods and is designed to ensure message reliability and persistence.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

Kubernetes and Google BigQuery

The Kubernetes input plugin gathers metrics about running containers and pods from the Kubelet API, tailored for deployment as a daemonset within a Kubernetes cluster. It enables efficient monitoring of cluster resources and ensures compatibility with supported Kubernetes versions.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

StatsD and Google BigQuery

The StatsD input plugin collects metrics from a StatsD server to facilitate performance monitoring. By functioning as a background listener, it efficiently processes various stat types including gauges and counters.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

Docker and Google BigQuery

Monitor the performance and resource usage of Docker containers. This plugin provides essential metrics for understanding container health and resource consumption.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

Apache and Google BigQuery

This plugin collects performance metrics from the Apache HTTP server using the mod_status module. It provides insights into server load, connections, and worker status.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

Amazon ECS and Google BigQuery

This plugin collects metrics about containers running on AWS ECS, allowing for detailed monitoring and performance analysis. It integrates tightly with AWS services to retrieve metadata and statistics directly from the ECS API.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

ActiveMQ and Google BigQuery

This plugin collects metrics from ActiveMQ using its Console API, including queue sizes and message counts. It enables real-time monitoring of ActiveMQ's performance and health.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

Google Cloud PubSub and Google BigQuery

A plugin for ingesting metrics from Google Cloud PubSub subscriptions, providing real-time data integration capabilities.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

Azure Event Hubs and Google BigQuery

A plugin to consume data from Azure Event Hubs and Azure IoT Hub, facilitating real-time data processing.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

Consul and Google BigQuery

The Consul Input Plugin reports health check statuses from services registered in Consul, enabling real-time operational monitoring. Users can configure connection details, authentication, and how to manage tags associated with health check metrics.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

Google Cloud Stackdriver and Google BigQuery

The Stackdriver input plugin provides functionality to gather metrics from Google Cloud. It simplifies access to a wide range of monitoring data for better insight into cloud operations.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

AWS Data Firehose and Google BigQuery

AWS Data Firehose Input Plugin enables real-time metric ingestion from AWS Data Firehose via HTTP. It supports various data formats and offers security and configuration options for flexible integration.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

Google Cloud Storage and Google BigQuery

Collects metrics from Google Cloud Storage buckets for performance monitoring.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

HAProxy and Google BigQuery

The HAProxy plugin collects metrics from HAProxy servers using either a stats socket or HTTP endpoints, enabling detailed monitoring of server status and performance analytics. This plugin allows for comprehensive visibility into HAProxy's operational metrics, helping administrators ensure optimal load balancing and application performance.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

Jenkins and Google BigQuery

This plugin gathers information about the nodes and jobs running in a Jenkins instance using the Jenkins API. It enables seamless integration and monitoring without requiring any additional Jenkins plugins.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

LDAP and Google BigQuery

The LDAP plugin collects metrics from LDAP servers for performance monitoring. It supports multiple connection schemes and provides detailed server metrics for operational health assessment.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

Nginx and Google BigQuery

The Nginx plugin monitors the performance of Nginx servers, gathering important status information for server performance tracking.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

Hashicorp Nomad and Google BigQuery

The Hashicorp Nomad input plugin collects metrics from Nomad agents in a cluster. It helps in monitoring the health and performance of the Nomad environment.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

OpenStack and Google BigQuery

The OpenStack Telegraf plugin collects metrics from OpenStack services, aiding in performance monitoring. It allows users to configure polling intervals and manage enabled services to optimize data collection.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

Webhooks and Google BigQuery

This plugin provides an HTTP server for handling webhook requests from various services. It handles events and metrics sent to different configured paths, facilitating integration with external systems.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

Tail and Google BigQuery

The Tail plugin monitors log files for new entries and parses log messages. It efficiently handles log rotation and provides various configuration options for optimal performance.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

Azure Monitor and Google BigQuery

The Azure Monitor plugin collects metrics from Azure resources. It provides a way to access detailed performance insights via the Azure Monitor API.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

NSQ and Google BigQuery

This plugin facilitates the consumption of messages from NSQ, a real-time messaging platform. It ensures reliable data processing by managing undelivered messages and integrating various data formats.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

RabbitMQ and Google BigQuery

The RabbitMQ plugin collects metrics from RabbitMQ servers, enabling effective monitoring of message queues and processing. It supports various metrics essential for maintaining the health and performance of RabbitMQ instances.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

Salesforce and Google BigQuery

Salesforce plugin monitors API usage limits in Salesforce organizations. It fetches data through Salesforce's REST API to provide insights on remaining usage and thresholds.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

SNMP Trap and Google BigQuery

The SNMP Trap input plugin allows for receiving and processing SNMP traps and inform requests over UDP. It is essential for network monitoring, enabling integration with a multitude of devices to capture and respond to network events.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

Supervisor and Google BigQuery

The Supervisor plugin collects metrics from processes managed by Supervisor using XML-RPC. It provides insights into process states, uptime, and other relevant metrics for effective monitoring.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

Suricata and Google BigQuery

The Suricata plugin collects performance stats from the Suricata IDS/IPS engine, providing vital insights into network operations. It transforms Suricata's JSON outputs into metrics suitable for Telegraf.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

Syslog and Google BigQuery

Capture syslog messages from various protocols with the Syslog plugin. This plugin allows integration of structured logging data into monitoring systems, utilizing TCP, UDP, and TLS.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

Memcached and Google BigQuery

The Memcached plugin collects real-time metrics from Memcached servers, providing insights into their performance and resource utilization. It is essential for monitoring caching strategies and optimizing application responsiveness.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

Mesos and Google BigQuery

Telegraf's Mesos input plugin collects metrics from Apache Mesos, a leading cluster and resource management system. It provides insights into resource utilization and tasks across the Mesos architecture, aiding in monitoring and performance analysis.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

Apache Zookeeper and Google BigQuery

This plugin gathers metrics from Apache Zookeeper servers using the 'mntr' command output. It helps monitor Zookeeper's performance and operational status efficiently.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

Hashicorp Vault and Google BigQuery

This plugin collects metrics from Hashicorp Vault agents, helping to monitor their performance and health. It requires a valid Vault token for authorization.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

VMware vSphere and Google BigQuery

This plugin collects metrics from VMware vSphere using the vSphere API, including data from clusters, hosts, VMs, datastores, and vSAN. It supports various configuration options to tailor data collection to specific monitoring needs and enhances visibility into the performance of virtual environments.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

Ceph and Google BigQuery

This plugin collects performance metrics from Ceph storage clusters, enhancing observability and facilitating better management. It retrieves data from both MON and OSD nodes, allowing administrators to monitor the health and performance of their storage system.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

DNS and Google BigQuery

This plugin collects DNS query times and provides key metrics for performance monitoring. It allows users to gain insights into the resolution times from specified DNS servers, helping identify potential issues in DNS performance.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

ctrlX Data Layer and Google BigQuery

This plugin gathers data from the ctrlX Data Layer middleware used in professional automation applications. It allows for detailed monitoring and configuration options tailored to specific operational requirements.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

Nvidia SMI and Google BigQuery

This plugin collects GPU statistics from the NVIDIA System Management Interface (SMI), including memory usage, temperature, and more. It utilizes the `nvidia-smi` binary to extract real-time performance metrics from NVIDIA GPUs.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

Intel PowerStat and Google BigQuery

This plugin captures essential power and performance metrics for Intel CPUs, allowing users to optimize workloads and improve energy efficiency. It aids in telemetry and analytics efforts related to CPU usage, temperature, and power consumption.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

iptables and Google BigQuery

The iptables input plugin gathers metrics on packet and byte counters for specified rules within the Linux iptables firewall, allowing for effective monitoring of network traffic through defined rules.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

InfiniBand and Google BigQuery

This plugin collects metrics from InfiniBand devices and ports on Linux systems. It monitors various performance indicators including error rates and packet statistics.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

Wireguard and Google BigQuery

The Wireguard input plugin gathers stats from Wireguard interfaces and their peers, facilitating effective monitoring. By utilizing the wgctrl library, it provides key metrics to administrators for enhanced network management.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

Kibana and Google BigQuery

This plugin queries the Kibana API to fetch the service status and provides various performance metrics. It helps in monitoring Kibana's health, such as its uptime and resource usage efficiently.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

Cisco Model-Driven Telemetry and Google BigQuery

This plugin provides an input method for collecting telemetry data from Cisco devices using model-driven telemetry techniques. It supports flexible transport options and real-time data accessibility.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

Fireboard and Google BigQuery

The Fireboard plugin collects real-time temperature data from Fireboard thermometers. This allows for precise monitoring of temperature-sensitive environments.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

Icinga and Google BigQuery

The Icinga2 Plugin collects real-time status of services and hosts from Icinga2's Remote API. This helps in maintaining an updated view of system health and performance metrics across your infrastructure.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

IPMI Sensor and Google BigQuery

This plugin retrieves sensor data using the IPMI protocol through the `ipmitool`. It can gather metrics from local and remote servers, allowing for enhanced monitoring of hardware status.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

IPVS and Google BigQuery

This input plugin captures metrics for IPVS virtual and real servers. It leverages the Linux kernel's netlink interface for data collection, providing insights into server performance and connections.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

JTI OpenConfig Telemetry and Google BigQuery

The JTI OpenConfig Telemetry plugin facilitates the collection of telemetry data from devices using the Junos Telemetry Interface in real-time. It enables flexible configurations including device addresses, user credentials, and sensor management.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

Kernel and Google BigQuery

This plugin gathers Linux kernel statistics not captured by other plugins, focusing on system metrics and entropy availability.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

Apache Aurora and Google BigQuery

The Aurora plugin collects metrics from Apache Aurora schedulers, facilitating monitoring and operational oversight. It interfaces efficiently with the schedulers to provide key performance metrics essential for cluster health assessment.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

Azure Storage Queue and Google BigQuery

The Azure Storage Queue plugin collects metrics about Azure Storage Queues, focusing on size and message age. It helps improve operational oversight of storage resources in Azure.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

Arista LANZ and Google BigQuery

The Arista LANZ plugin reads metrics from Arista's Latency Analyzer (LANZ) to help monitor network performance. It utilizes a TCP connection to gather data in a Protobuffers format.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

Phillips Hue Bridge and Google BigQuery

The Hue Bridge plugin enables the monitoring of Philips Hue Bridge devices. It collects various metrics related to lighting and environmental conditions from smart home systems.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

Netflow and Google BigQuery

This plugin collects flow data using Netflow v5, v9 and IPFIX protocols, providing insights into network traffic patterns and behaviors. By leveraging this plugin, organizations can enhance their network monitoring capabilities and gain visibility into real-time traffic flows.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

KNX and Google BigQuery

This plugin captures data from the KNX home-automation bus through a KNX-IP interface. It supports customizable measurement definitions and real-time event listening for enhanced smart home automation.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

ntpq and Google BigQuery

Collects metrics from NTP servers using the ntpq executable to monitor time synchronization performance. Key metrics include delay, jitter, offset, and polling information for effective timekeeping.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

MavLink and Google BigQuery

The MavLink input plugin allows the collection of telemetry data from flight controllers, enabling real-time monitoring of unmanned systems. It supports diverse connection methods, including TCP and UDP, while offering configuration flexibility for message filtering.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

Kafka and Redis

This plugin reads messages from Kafka and allows the creation of metrics based on those messages. It supports various configurations, settings, and message processing options.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

Kinesis and Redis

The Kinesis plugin allows for reading metrics from AWS Kinesis streams. It supports multiple input data formats and offers checkpointing features with DynamoDB for reliable message processing.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

HTTP and Redis

The HTTP plugin collects metrics from one or more HTTP(S) endpoints. It supports various authentication methods and configuration options for data formats.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

SNMP and Redis

The SNMP plugin gathers metrics using SNMP agents through configurable requests. It supports both OIDs and table data collection for comprehensive monitoring.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

Modbus and Redis

The Modbus plugin enables data collection from Modbus devices via TCP or RTU/ASCII. It supports various configurations for retrieving different types of data from slave devices.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

OPC UA and Redis

This plugin gathers metrics from OPC UA servers, enabling comprehensive device monitoring. Users can configure various options for connecting to and retrieving data from multiple OPC UA nodes.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

MQTT and Redis

The MQTT plugin is a service input for reading metrics from specified MQTT topics. It supports various data formats and configuration options for reliable message consumption.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

gNMI and Redis

The gNMI Input Plugin enables users to collect telemetry data from network devices in real-time. It is designed to work with any gNMI-compliant platform, including various Cisco devices.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

Fluentd and Redis

Fluentd Input Plugin collects metrics from the Fluentd monitoring endpoint. It helps users monitor fluentd plugins and manage performance efficiently.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

OpenTelemetry and Redis

The OpenTelemetry Telegraf plugin facilitates the ingestion of telemetry data through gRPC, providing support for traces, metrics, and logs. This ensures that applications can be monitored effectively using the OpenTelemetry standard.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

AMQP and Redis

This plugin is designed for consuming metrics from AMQP 0-9-1, such as those provided by RabbitMQ. It efficiently reads data from queues and exchanges using configurable parameters, making it ideal for integrated monitoring setups.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

Amazon CloudWatch and Redis

The Amazon CloudWatch Statistics Input Plugin allows you to gather metric statistics from AWS CloudWatch. It supports flexible authentication and configuration options, making it suitable for various monitoring requirements.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

Zipkin and Redis

The Zipkin Input Plugin gathers trace and timing data required for troubleshooting latency in microservices. Leveraging spans and annotations, it improves observability and performance tracking in distributed systems.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

NATS and Redis

This plugin reads metrics from NATS subjects, allowing for parallel consumption across multiple instances of Telegraf. It supports various authentication methods and is designed to ensure message reliability and persistence.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

Kubernetes and Redis

The Kubernetes input plugin gathers metrics about running containers and pods from the Kubelet API, tailored for deployment as a daemonset within a Kubernetes cluster. It enables efficient monitoring of cluster resources and ensures compatibility with supported Kubernetes versions.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

StatsD and Redis

The StatsD input plugin collects metrics from a StatsD server to facilitate performance monitoring. By functioning as a background listener, it efficiently processes various stat types including gauges and counters.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

Docker and Redis

Monitor the performance and resource usage of Docker containers. This plugin provides essential metrics for understanding container health and resource consumption.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

Apache and Redis

This plugin collects performance metrics from the Apache HTTP server using the mod_status module. It provides insights into server load, connections, and worker status.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

Amazon ECS and Redis

This plugin collects metrics about containers running on AWS ECS, allowing for detailed monitoring and performance analysis. It integrates tightly with AWS services to retrieve metadata and statistics directly from the ECS API.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

ActiveMQ and Redis

This plugin collects metrics from ActiveMQ using its Console API, including queue sizes and message counts. It enables real-time monitoring of ActiveMQ's performance and health.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

Google Cloud PubSub and Redis

A plugin for ingesting metrics from Google Cloud PubSub subscriptions, providing real-time data integration capabilities.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

Azure Event Hubs and Redis

A plugin to consume data from Azure Event Hubs and Azure IoT Hub, facilitating real-time data processing.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

Consul and Redis

The Consul Input Plugin reports health check statuses from services registered in Consul, enabling real-time operational monitoring. Users can configure connection details, authentication, and how to manage tags associated with health check metrics.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

Google Cloud Stackdriver and Redis

The Stackdriver input plugin provides functionality to gather metrics from Google Cloud. It simplifies access to a wide range of monitoring data for better insight into cloud operations.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

AWS Data Firehose and Redis

AWS Data Firehose Input Plugin enables real-time metric ingestion from AWS Data Firehose via HTTP. It supports various data formats and offers security and configuration options for flexible integration.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

Google Cloud Storage and Redis

Collects metrics from Google Cloud Storage buckets for performance monitoring.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

HAProxy and Redis

The HAProxy plugin collects metrics from HAProxy servers using either a stats socket or HTTP endpoints, enabling detailed monitoring of server status and performance analytics. This plugin allows for comprehensive visibility into HAProxy's operational metrics, helping administrators ensure optimal load balancing and application performance.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

Jenkins and Redis

This plugin gathers information about the nodes and jobs running in a Jenkins instance using the Jenkins API. It enables seamless integration and monitoring without requiring any additional Jenkins plugins.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

LDAP and Redis

The LDAP plugin collects metrics from LDAP servers for performance monitoring. It supports multiple connection schemes and provides detailed server metrics for operational health assessment.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

Nginx and Redis

The Nginx plugin monitors the performance of Nginx servers, gathering important status information for server performance tracking.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

Hashicorp Nomad and Redis

The Hashicorp Nomad input plugin collects metrics from Nomad agents in a cluster. It helps in monitoring the health and performance of the Nomad environment.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

OpenStack and Redis

The OpenStack Telegraf plugin collects metrics from OpenStack services, aiding in performance monitoring. It allows users to configure polling intervals and manage enabled services to optimize data collection.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

Webhooks and Redis

This plugin provides an HTTP server for handling webhook requests from various services. It handles events and metrics sent to different configured paths, facilitating integration with external systems.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

Tail and Redis

The Tail plugin monitors log files for new entries and parses log messages. It efficiently handles log rotation and provides various configuration options for optimal performance.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

Azure Monitor and Redis

The Azure Monitor plugin collects metrics from Azure resources. It provides a way to access detailed performance insights via the Azure Monitor API.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

NSQ and Redis

This plugin facilitates the consumption of messages from NSQ, a real-time messaging platform. It ensures reliable data processing by managing undelivered messages and integrating various data formats.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

RabbitMQ and Redis

The RabbitMQ plugin collects metrics from RabbitMQ servers, enabling effective monitoring of message queues and processing. It supports various metrics essential for maintaining the health and performance of RabbitMQ instances.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

Salesforce and Redis

Salesforce plugin monitors API usage limits in Salesforce organizations. It fetches data through Salesforce's REST API to provide insights on remaining usage and thresholds.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

SNMP Trap and Redis

The SNMP Trap input plugin allows for receiving and processing SNMP traps and inform requests over UDP. It is essential for network monitoring, enabling integration with a multitude of devices to capture and respond to network events.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

Supervisor and Redis

The Supervisor plugin collects metrics from processes managed by Supervisor using XML-RPC. It provides insights into process states, uptime, and other relevant metrics for effective monitoring.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

Suricata and Redis

The Suricata plugin collects performance stats from the Suricata IDS/IPS engine, providing vital insights into network operations. It transforms Suricata's JSON outputs into metrics suitable for Telegraf.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

Syslog and Redis

Capture syslog messages from various protocols with the Syslog plugin. This plugin allows integration of structured logging data into monitoring systems, utilizing TCP, UDP, and TLS.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

Memcached and Redis

The Memcached plugin collects real-time metrics from Memcached servers, providing insights into their performance and resource utilization. It is essential for monitoring caching strategies and optimizing application responsiveness.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

Mesos and Redis

Telegraf's Mesos input plugin collects metrics from Apache Mesos, a leading cluster and resource management system. It provides insights into resource utilization and tasks across the Mesos architecture, aiding in monitoring and performance analysis.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

Apache Zookeeper and Redis

This plugin gathers metrics from Apache Zookeeper servers using the 'mntr' command output. It helps monitor Zookeeper's performance and operational status efficiently.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

Hashicorp Vault and Redis

This plugin collects metrics from Hashicorp Vault agents, helping to monitor their performance and health. It requires a valid Vault token for authorization.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

VMware vSphere and Redis

This plugin collects metrics from VMware vSphere using the vSphere API, including data from clusters, hosts, VMs, datastores, and vSAN. It supports various configuration options to tailor data collection to specific monitoring needs and enhances visibility into the performance of virtual environments.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

Ceph and Redis

This plugin collects performance metrics from Ceph storage clusters, enhancing observability and facilitating better management. It retrieves data from both MON and OSD nodes, allowing administrators to monitor the health and performance of their storage system.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

DNS and Redis

This plugin collects DNS query times and provides key metrics for performance monitoring. It allows users to gain insights into the resolution times from specified DNS servers, helping identify potential issues in DNS performance.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

ctrlX Data Layer and Redis

This plugin gathers data from the ctrlX Data Layer middleware used in professional automation applications. It allows for detailed monitoring and configuration options tailored to specific operational requirements.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

Nvidia SMI and Redis

This plugin collects GPU statistics from the NVIDIA System Management Interface (SMI), including memory usage, temperature, and more. It utilizes the `nvidia-smi` binary to extract real-time performance metrics from NVIDIA GPUs.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

Intel PowerStat and Redis

This plugin captures essential power and performance metrics for Intel CPUs, allowing users to optimize workloads and improve energy efficiency. It aids in telemetry and analytics efforts related to CPU usage, temperature, and power consumption.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

iptables and Redis

The iptables input plugin gathers metrics on packet and byte counters for specified rules within the Linux iptables firewall, allowing for effective monitoring of network traffic through defined rules.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

InfiniBand and Redis

This plugin collects metrics from InfiniBand devices and ports on Linux systems. It monitors various performance indicators including error rates and packet statistics.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

Wireguard and Redis

The Wireguard input plugin gathers stats from Wireguard interfaces and their peers, facilitating effective monitoring. By utilizing the wgctrl library, it provides key metrics to administrators for enhanced network management.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

Kibana and Redis

This plugin queries the Kibana API to fetch the service status and provides various performance metrics. It helps in monitoring Kibana's health, such as its uptime and resource usage efficiently.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

Cisco Model-Driven Telemetry and Redis

This plugin provides an input method for collecting telemetry data from Cisco devices using model-driven telemetry techniques. It supports flexible transport options and real-time data accessibility.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

Fireboard and Redis

The Fireboard plugin collects real-time temperature data from Fireboard thermometers. This allows for precise monitoring of temperature-sensitive environments.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

Icinga and Redis

The Icinga2 Plugin collects real-time status of services and hosts from Icinga2's Remote API. This helps in maintaining an updated view of system health and performance metrics across your infrastructure.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

IPMI Sensor and Redis

This plugin retrieves sensor data using the IPMI protocol through the `ipmitool`. It can gather metrics from local and remote servers, allowing for enhanced monitoring of hardware status.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

IPVS and Redis

This input plugin captures metrics for IPVS virtual and real servers. It leverages the Linux kernel's netlink interface for data collection, providing insights into server performance and connections.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

JTI OpenConfig Telemetry and Redis

The JTI OpenConfig Telemetry plugin facilitates the collection of telemetry data from devices using the Junos Telemetry Interface in real-time. It enables flexible configurations including device addresses, user credentials, and sensor management.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

Kernel and Redis

This plugin gathers Linux kernel statistics not captured by other plugins, focusing on system metrics and entropy availability.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

Apache Aurora and Redis

The Aurora plugin collects metrics from Apache Aurora schedulers, facilitating monitoring and operational oversight. It interfaces efficiently with the schedulers to provide key performance metrics essential for cluster health assessment.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

Azure Storage Queue and Redis

The Azure Storage Queue plugin collects metrics about Azure Storage Queues, focusing on size and message age. It helps improve operational oversight of storage resources in Azure.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

Arista LANZ and Redis

The Arista LANZ plugin reads metrics from Arista's Latency Analyzer (LANZ) to help monitor network performance. It utilizes a TCP connection to gather data in a Protobuffers format.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

Phillips Hue Bridge and Redis

The Hue Bridge plugin enables the monitoring of Philips Hue Bridge devices. It collects various metrics related to lighting and environmental conditions from smart home systems.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

Netflow and Redis

This plugin collects flow data using Netflow v5, v9 and IPFIX protocols, providing insights into network traffic patterns and behaviors. By leveraging this plugin, organizations can enhance their network monitoring capabilities and gain visibility into real-time traffic flows.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

KNX and Redis

This plugin captures data from the KNX home-automation bus through a KNX-IP interface. It supports customizable measurement definitions and real-time event listening for enhanced smart home automation.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

ntpq and Redis

Collects metrics from NTP servers using the ntpq executable to monitor time synchronization performance. Key metrics include delay, jitter, offset, and polling information for effective timekeeping.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

MavLink and Redis

The MavLink input plugin allows the collection of telemetry data from flight controllers, enabling real-time monitoring of unmanned systems. It supports diverse connection methods, including TCP and UDP, while offering configuration flexibility for message filtering.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

Kafka and Snowflake

This plugin reads messages from Kafka and allows the creation of metrics based on those messages. It supports various configurations, settings, and message processing options.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

Kinesis and Snowflake

The Kinesis plugin allows for reading metrics from AWS Kinesis streams. It supports multiple input data formats and offers checkpointing features with DynamoDB for reliable message processing.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

HTTP and Snowflake

The HTTP plugin collects metrics from one or more HTTP(S) endpoints. It supports various authentication methods and configuration options for data formats.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

SNMP and Snowflake

The SNMP plugin gathers metrics using SNMP agents through configurable requests. It supports both OIDs and table data collection for comprehensive monitoring.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

Modbus and Snowflake

The Modbus plugin enables data collection from Modbus devices via TCP or RTU/ASCII. It supports various configurations for retrieving different types of data from slave devices.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

OPC UA and Snowflake

This plugin gathers metrics from OPC UA servers, enabling comprehensive device monitoring. Users can configure various options for connecting to and retrieving data from multiple OPC UA nodes.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

MQTT and Snowflake

The MQTT plugin is a service input for reading metrics from specified MQTT topics. It supports various data formats and configuration options for reliable message consumption.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

gNMI and Snowflake

The gNMI Input Plugin enables users to collect telemetry data from network devices in real-time. It is designed to work with any gNMI-compliant platform, including various Cisco devices.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

Fluentd and Snowflake

Fluentd Input Plugin collects metrics from the Fluentd monitoring endpoint. It helps users monitor fluentd plugins and manage performance efficiently.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

OpenTelemetry and Snowflake

The OpenTelemetry Telegraf plugin facilitates the ingestion of telemetry data through gRPC, providing support for traces, metrics, and logs. This ensures that applications can be monitored effectively using the OpenTelemetry standard.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

AMQP and Snowflake

This plugin is designed for consuming metrics from AMQP 0-9-1, such as those provided by RabbitMQ. It efficiently reads data from queues and exchanges using configurable parameters, making it ideal for integrated monitoring setups.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

Amazon CloudWatch and Snowflake

The Amazon CloudWatch Statistics Input Plugin allows you to gather metric statistics from AWS CloudWatch. It supports flexible authentication and configuration options, making it suitable for various monitoring requirements.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

Zipkin and Snowflake

The Zipkin Input Plugin gathers trace and timing data required for troubleshooting latency in microservices. Leveraging spans and annotations, it improves observability and performance tracking in distributed systems.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

NATS and Snowflake

This plugin reads metrics from NATS subjects, allowing for parallel consumption across multiple instances of Telegraf. It supports various authentication methods and is designed to ensure message reliability and persistence.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

Kubernetes and Snowflake

The Kubernetes input plugin gathers metrics about running containers and pods from the Kubelet API, tailored for deployment as a daemonset within a Kubernetes cluster. It enables efficient monitoring of cluster resources and ensures compatibility with supported Kubernetes versions.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

StatsD and Snowflake

The StatsD input plugin collects metrics from a StatsD server to facilitate performance monitoring. By functioning as a background listener, it efficiently processes various stat types including gauges and counters.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

Docker and Snowflake

Monitor the performance and resource usage of Docker containers. This plugin provides essential metrics for understanding container health and resource consumption.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

Apache and Snowflake

This plugin collects performance metrics from the Apache HTTP server using the mod_status module. It provides insights into server load, connections, and worker status.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

Amazon ECS and Snowflake

This plugin collects metrics about containers running on AWS ECS, allowing for detailed monitoring and performance analysis. It integrates tightly with AWS services to retrieve metadata and statistics directly from the ECS API.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

ActiveMQ and Snowflake

This plugin collects metrics from ActiveMQ using its Console API, including queue sizes and message counts. It enables real-time monitoring of ActiveMQ's performance and health.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

Google Cloud PubSub and Snowflake

A plugin for ingesting metrics from Google Cloud PubSub subscriptions, providing real-time data integration capabilities.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

Azure Event Hubs and Snowflake

A plugin to consume data from Azure Event Hubs and Azure IoT Hub, facilitating real-time data processing.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

Consul and Snowflake

The Consul Input Plugin reports health check statuses from services registered in Consul, enabling real-time operational monitoring. Users can configure connection details, authentication, and how to manage tags associated with health check metrics.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

Google Cloud Stackdriver and Snowflake

The Stackdriver input plugin provides functionality to gather metrics from Google Cloud. It simplifies access to a wide range of monitoring data for better insight into cloud operations.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

AWS Data Firehose and Snowflake

AWS Data Firehose Input Plugin enables real-time metric ingestion from AWS Data Firehose via HTTP. It supports various data formats and offers security and configuration options for flexible integration.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

Google Cloud Storage and Snowflake

Collects metrics from Google Cloud Storage buckets for performance monitoring.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

HAProxy and Snowflake

The HAProxy plugin collects metrics from HAProxy servers using either a stats socket or HTTP endpoints, enabling detailed monitoring of server status and performance analytics. This plugin allows for comprehensive visibility into HAProxy's operational metrics, helping administrators ensure optimal load balancing and application performance.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

Jenkins and Snowflake

This plugin gathers information about the nodes and jobs running in a Jenkins instance using the Jenkins API. It enables seamless integration and monitoring without requiring any additional Jenkins plugins.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

LDAP and Snowflake

The LDAP plugin collects metrics from LDAP servers for performance monitoring. It supports multiple connection schemes and provides detailed server metrics for operational health assessment.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

Nginx and Snowflake

The Nginx plugin monitors the performance of Nginx servers, gathering important status information for server performance tracking.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

Hashicorp Nomad and Snowflake

The Hashicorp Nomad input plugin collects metrics from Nomad agents in a cluster. It helps in monitoring the health and performance of the Nomad environment.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

OpenStack and Snowflake

The OpenStack Telegraf plugin collects metrics from OpenStack services, aiding in performance monitoring. It allows users to configure polling intervals and manage enabled services to optimize data collection.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

Webhooks and Snowflake

This plugin provides an HTTP server for handling webhook requests from various services. It handles events and metrics sent to different configured paths, facilitating integration with external systems.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

Tail and Snowflake

The Tail plugin monitors log files for new entries and parses log messages. It efficiently handles log rotation and provides various configuration options for optimal performance.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

Azure Monitor and Snowflake

The Azure Monitor plugin collects metrics from Azure resources. It provides a way to access detailed performance insights via the Azure Monitor API.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

NSQ and Snowflake

This plugin facilitates the consumption of messages from NSQ, a real-time messaging platform. It ensures reliable data processing by managing undelivered messages and integrating various data formats.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

RabbitMQ and Snowflake

The RabbitMQ plugin collects metrics from RabbitMQ servers, enabling effective monitoring of message queues and processing. It supports various metrics essential for maintaining the health and performance of RabbitMQ instances.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

Salesforce and Snowflake

Salesforce plugin monitors API usage limits in Salesforce organizations. It fetches data through Salesforce's REST API to provide insights on remaining usage and thresholds.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

SNMP Trap and Snowflake

The SNMP Trap input plugin allows for receiving and processing SNMP traps and inform requests over UDP. It is essential for network monitoring, enabling integration with a multitude of devices to capture and respond to network events.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

Supervisor and Snowflake

The Supervisor plugin collects metrics from processes managed by Supervisor using XML-RPC. It provides insights into process states, uptime, and other relevant metrics for effective monitoring.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

Suricata and Snowflake

The Suricata plugin collects performance stats from the Suricata IDS/IPS engine, providing vital insights into network operations. It transforms Suricata's JSON outputs into metrics suitable for Telegraf.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

Syslog and Snowflake

Capture syslog messages from various protocols with the Syslog plugin. This plugin allows integration of structured logging data into monitoring systems, utilizing TCP, UDP, and TLS.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

Memcached and Snowflake

The Memcached plugin collects real-time metrics from Memcached servers, providing insights into their performance and resource utilization. It is essential for monitoring caching strategies and optimizing application responsiveness.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

Mesos and Snowflake

Telegraf's Mesos input plugin collects metrics from Apache Mesos, a leading cluster and resource management system. It provides insights into resource utilization and tasks across the Mesos architecture, aiding in monitoring and performance analysis.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

Apache Zookeeper and Snowflake

This plugin gathers metrics from Apache Zookeeper servers using the 'mntr' command output. It helps monitor Zookeeper's performance and operational status efficiently.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

Hashicorp Vault and Snowflake

This plugin collects metrics from Hashicorp Vault agents, helping to monitor their performance and health. It requires a valid Vault token for authorization.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

VMware vSphere and Snowflake

This plugin collects metrics from VMware vSphere using the vSphere API, including data from clusters, hosts, VMs, datastores, and vSAN. It supports various configuration options to tailor data collection to specific monitoring needs and enhances visibility into the performance of virtual environments.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

Ceph and Snowflake

This plugin collects performance metrics from Ceph storage clusters, enhancing observability and facilitating better management. It retrieves data from both MON and OSD nodes, allowing administrators to monitor the health and performance of their storage system.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

DNS and Snowflake

This plugin collects DNS query times and provides key metrics for performance monitoring. It allows users to gain insights into the resolution times from specified DNS servers, helping identify potential issues in DNS performance.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

ctrlX Data Layer and Snowflake

This plugin gathers data from the ctrlX Data Layer middleware used in professional automation applications. It allows for detailed monitoring and configuration options tailored to specific operational requirements.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

Nvidia SMI and Snowflake

This plugin collects GPU statistics from the NVIDIA System Management Interface (SMI), including memory usage, temperature, and more. It utilizes the `nvidia-smi` binary to extract real-time performance metrics from NVIDIA GPUs.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

Intel PowerStat and Snowflake

This plugin captures essential power and performance metrics for Intel CPUs, allowing users to optimize workloads and improve energy efficiency. It aids in telemetry and analytics efforts related to CPU usage, temperature, and power consumption.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

iptables and Snowflake

The iptables input plugin gathers metrics on packet and byte counters for specified rules within the Linux iptables firewall, allowing for effective monitoring of network traffic through defined rules.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

InfiniBand and Snowflake

This plugin collects metrics from InfiniBand devices and ports on Linux systems. It monitors various performance indicators including error rates and packet statistics.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

Wireguard and Snowflake

The Wireguard input plugin gathers stats from Wireguard interfaces and their peers, facilitating effective monitoring. By utilizing the wgctrl library, it provides key metrics to administrators for enhanced network management.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

Kibana and Snowflake

This plugin queries the Kibana API to fetch the service status and provides various performance metrics. It helps in monitoring Kibana's health, such as its uptime and resource usage efficiently.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

Cisco Model-Driven Telemetry and Snowflake

This plugin provides an input method for collecting telemetry data from Cisco devices using model-driven telemetry techniques. It supports flexible transport options and real-time data accessibility.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

Fireboard and Snowflake

The Fireboard plugin collects real-time temperature data from Fireboard thermometers. This allows for precise monitoring of temperature-sensitive environments.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

Icinga and Snowflake

The Icinga2 Plugin collects real-time status of services and hosts from Icinga2's Remote API. This helps in maintaining an updated view of system health and performance metrics across your infrastructure.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

IPMI Sensor and Snowflake

This plugin retrieves sensor data using the IPMI protocol through the `ipmitool`. It can gather metrics from local and remote servers, allowing for enhanced monitoring of hardware status.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

IPVS and Snowflake

This input plugin captures metrics for IPVS virtual and real servers. It leverages the Linux kernel's netlink interface for data collection, providing insights into server performance and connections.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

JTI OpenConfig Telemetry and Snowflake

The JTI OpenConfig Telemetry plugin facilitates the collection of telemetry data from devices using the Junos Telemetry Interface in real-time. It enables flexible configurations including device addresses, user credentials, and sensor management.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

Kernel and Snowflake

This plugin gathers Linux kernel statistics not captured by other plugins, focusing on system metrics and entropy availability.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

Apache Aurora and Snowflake

The Aurora plugin collects metrics from Apache Aurora schedulers, facilitating monitoring and operational oversight. It interfaces efficiently with the schedulers to provide key performance metrics essential for cluster health assessment.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

Azure Storage Queue and Snowflake

The Azure Storage Queue plugin collects metrics about Azure Storage Queues, focusing on size and message age. It helps improve operational oversight of storage resources in Azure.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

Arista LANZ and Snowflake

The Arista LANZ plugin reads metrics from Arista's Latency Analyzer (LANZ) to help monitor network performance. It utilizes a TCP connection to gather data in a Protobuffers format.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

Phillips Hue Bridge and Snowflake

The Hue Bridge plugin enables the monitoring of Philips Hue Bridge devices. It collects various metrics related to lighting and environmental conditions from smart home systems.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

Netflow and Snowflake

This plugin collects flow data using Netflow v5, v9 and IPFIX protocols, providing insights into network traffic patterns and behaviors. By leveraging this plugin, organizations can enhance their network monitoring capabilities and gain visibility into real-time traffic flows.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

KNX and Snowflake

This plugin captures data from the KNX home-automation bus through a KNX-IP interface. It supports customizable measurement definitions and real-time event listening for enhanced smart home automation.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

ntpq and Snowflake

Collects metrics from NTP servers using the ntpq executable to monitor time synchronization performance. Key metrics include delay, jitter, offset, and polling information for effective timekeeping.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

MavLink and Snowflake

The MavLink input plugin allows the collection of telemetry data from flight controllers, enabling real-time monitoring of unmanned systems. It supports diverse connection methods, including TCP and UDP, while offering configuration flexibility for message filtering.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

Kafka and Microsoft SQL Server

This plugin reads messages from Kafka and allows the creation of metrics based on those messages. It supports various configurations, settings, and message processing options.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

Kinesis and Microsoft SQL Server

The Kinesis plugin allows for reading metrics from AWS Kinesis streams. It supports multiple input data formats and offers checkpointing features with DynamoDB for reliable message processing.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

HTTP and Microsoft SQL Server

The HTTP plugin collects metrics from one or more HTTP(S) endpoints. It supports various authentication methods and configuration options for data formats.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

SNMP and Microsoft SQL Server

The SNMP plugin gathers metrics using SNMP agents through configurable requests. It supports both OIDs and table data collection for comprehensive monitoring.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

Modbus and Microsoft SQL Server

The Modbus plugin enables data collection from Modbus devices via TCP or RTU/ASCII. It supports various configurations for retrieving different types of data from slave devices.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

OPC UA and Microsoft SQL Server

This plugin gathers metrics from OPC UA servers, enabling comprehensive device monitoring. Users can configure various options for connecting to and retrieving data from multiple OPC UA nodes.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

MQTT and Microsoft SQL Server

The MQTT plugin is a service input for reading metrics from specified MQTT topics. It supports various data formats and configuration options for reliable message consumption.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

gNMI and Microsoft SQL Server

The gNMI Input Plugin enables users to collect telemetry data from network devices in real-time. It is designed to work with any gNMI-compliant platform, including various Cisco devices.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

Fluentd and Microsoft SQL Server

Fluentd Input Plugin collects metrics from the Fluentd monitoring endpoint. It helps users monitor fluentd plugins and manage performance efficiently.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

OpenTelemetry and Microsoft SQL Server

The OpenTelemetry Telegraf plugin facilitates the ingestion of telemetry data through gRPC, providing support for traces, metrics, and logs. This ensures that applications can be monitored effectively using the OpenTelemetry standard.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

AMQP and Microsoft SQL Server

This plugin is designed for consuming metrics from AMQP 0-9-1, such as those provided by RabbitMQ. It efficiently reads data from queues and exchanges using configurable parameters, making it ideal for integrated monitoring setups.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

Amazon CloudWatch and Microsoft SQL Server

The Amazon CloudWatch Statistics Input Plugin allows you to gather metric statistics from AWS CloudWatch. It supports flexible authentication and configuration options, making it suitable for various monitoring requirements.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

Zipkin and Microsoft SQL Server

The Zipkin Input Plugin gathers trace and timing data required for troubleshooting latency in microservices. Leveraging spans and annotations, it improves observability and performance tracking in distributed systems.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

NATS and Microsoft SQL Server

This plugin reads metrics from NATS subjects, allowing for parallel consumption across multiple instances of Telegraf. It supports various authentication methods and is designed to ensure message reliability and persistence.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

Kubernetes and Microsoft SQL Server

The Kubernetes input plugin gathers metrics about running containers and pods from the Kubelet API, tailored for deployment as a daemonset within a Kubernetes cluster. It enables efficient monitoring of cluster resources and ensures compatibility with supported Kubernetes versions.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

StatsD and Microsoft SQL Server

The StatsD input plugin collects metrics from a StatsD server to facilitate performance monitoring. By functioning as a background listener, it efficiently processes various stat types including gauges and counters.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

Docker and Microsoft SQL Server

Monitor the performance and resource usage of Docker containers. This plugin provides essential metrics for understanding container health and resource consumption.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

Apache and Microsoft SQL Server

This plugin collects performance metrics from the Apache HTTP server using the mod_status module. It provides insights into server load, connections, and worker status.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

Amazon ECS and Microsoft SQL Server

This plugin collects metrics about containers running on AWS ECS, allowing for detailed monitoring and performance analysis. It integrates tightly with AWS services to retrieve metadata and statistics directly from the ECS API.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

ActiveMQ and Microsoft SQL Server

This plugin collects metrics from ActiveMQ using its Console API, including queue sizes and message counts. It enables real-time monitoring of ActiveMQ's performance and health.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

Google Cloud PubSub and Microsoft SQL Server

A plugin for ingesting metrics from Google Cloud PubSub subscriptions, providing real-time data integration capabilities.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

Azure Event Hubs and Microsoft SQL Server

A plugin to consume data from Azure Event Hubs and Azure IoT Hub, facilitating real-time data processing.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

Consul and Microsoft SQL Server

The Consul Input Plugin reports health check statuses from services registered in Consul, enabling real-time operational monitoring. Users can configure connection details, authentication, and how to manage tags associated with health check metrics.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

Google Cloud Stackdriver and Microsoft SQL Server

The Stackdriver input plugin provides functionality to gather metrics from Google Cloud. It simplifies access to a wide range of monitoring data for better insight into cloud operations.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

AWS Data Firehose and Microsoft SQL Server

AWS Data Firehose Input Plugin enables real-time metric ingestion from AWS Data Firehose via HTTP. It supports various data formats and offers security and configuration options for flexible integration.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

Google Cloud Storage and Microsoft SQL Server

Collects metrics from Google Cloud Storage buckets for performance monitoring.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

HAProxy and Microsoft SQL Server

The HAProxy plugin collects metrics from HAProxy servers using either a stats socket or HTTP endpoints, enabling detailed monitoring of server status and performance analytics. This plugin allows for comprehensive visibility into HAProxy's operational metrics, helping administrators ensure optimal load balancing and application performance.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

Jenkins and Microsoft SQL Server

This plugin gathers information about the nodes and jobs running in a Jenkins instance using the Jenkins API. It enables seamless integration and monitoring without requiring any additional Jenkins plugins.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

LDAP and Microsoft SQL Server

The LDAP plugin collects metrics from LDAP servers for performance monitoring. It supports multiple connection schemes and provides detailed server metrics for operational health assessment.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

Nginx and Microsoft SQL Server

The Nginx plugin monitors the performance of Nginx servers, gathering important status information for server performance tracking.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

Hashicorp Nomad and Microsoft SQL Server

The Hashicorp Nomad input plugin collects metrics from Nomad agents in a cluster. It helps in monitoring the health and performance of the Nomad environment.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

OpenStack and Microsoft SQL Server

The OpenStack Telegraf plugin collects metrics from OpenStack services, aiding in performance monitoring. It allows users to configure polling intervals and manage enabled services to optimize data collection.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

Webhooks and Microsoft SQL Server

This plugin provides an HTTP server for handling webhook requests from various services. It handles events and metrics sent to different configured paths, facilitating integration with external systems.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

Tail and Microsoft SQL Server

The Tail plugin monitors log files for new entries and parses log messages. It efficiently handles log rotation and provides various configuration options for optimal performance.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

Azure Monitor and Microsoft SQL Server

The Azure Monitor plugin collects metrics from Azure resources. It provides a way to access detailed performance insights via the Azure Monitor API.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

NSQ and Microsoft SQL Server

This plugin facilitates the consumption of messages from NSQ, a real-time messaging platform. It ensures reliable data processing by managing undelivered messages and integrating various data formats.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

RabbitMQ and Microsoft SQL Server

The RabbitMQ plugin collects metrics from RabbitMQ servers, enabling effective monitoring of message queues and processing. It supports various metrics essential for maintaining the health and performance of RabbitMQ instances.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

Salesforce and Microsoft SQL Server

Salesforce plugin monitors API usage limits in Salesforce organizations. It fetches data through Salesforce's REST API to provide insights on remaining usage and thresholds.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

SNMP Trap and Microsoft SQL Server

The SNMP Trap input plugin allows for receiving and processing SNMP traps and inform requests over UDP. It is essential for network monitoring, enabling integration with a multitude of devices to capture and respond to network events.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

Supervisor and Microsoft SQL Server

The Supervisor plugin collects metrics from processes managed by Supervisor using XML-RPC. It provides insights into process states, uptime, and other relevant metrics for effective monitoring.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

Suricata and Microsoft SQL Server

The Suricata plugin collects performance stats from the Suricata IDS/IPS engine, providing vital insights into network operations. It transforms Suricata's JSON outputs into metrics suitable for Telegraf.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

Syslog and Microsoft SQL Server

Capture syslog messages from various protocols with the Syslog plugin. This plugin allows integration of structured logging data into monitoring systems, utilizing TCP, UDP, and TLS.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

Memcached and Microsoft SQL Server

The Memcached plugin collects real-time metrics from Memcached servers, providing insights into their performance and resource utilization. It is essential for monitoring caching strategies and optimizing application responsiveness.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

Mesos and Microsoft SQL Server

Telegraf's Mesos input plugin collects metrics from Apache Mesos, a leading cluster and resource management system. It provides insights into resource utilization and tasks across the Mesos architecture, aiding in monitoring and performance analysis.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

Apache Zookeeper and Microsoft SQL Server

This plugin gathers metrics from Apache Zookeeper servers using the 'mntr' command output. It helps monitor Zookeeper's performance and operational status efficiently.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

Hashicorp Vault and Microsoft SQL Server

This plugin collects metrics from Hashicorp Vault agents, helping to monitor their performance and health. It requires a valid Vault token for authorization.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

VMware vSphere and Microsoft SQL Server

This plugin collects metrics from VMware vSphere using the vSphere API, including data from clusters, hosts, VMs, datastores, and vSAN. It supports various configuration options to tailor data collection to specific monitoring needs and enhances visibility into the performance of virtual environments.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

Ceph and Microsoft SQL Server

This plugin collects performance metrics from Ceph storage clusters, enhancing observability and facilitating better management. It retrieves data from both MON and OSD nodes, allowing administrators to monitor the health and performance of their storage system.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

DNS and Microsoft SQL Server

This plugin collects DNS query times and provides key metrics for performance monitoring. It allows users to gain insights into the resolution times from specified DNS servers, helping identify potential issues in DNS performance.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

ctrlX Data Layer and Microsoft SQL Server

This plugin gathers data from the ctrlX Data Layer middleware used in professional automation applications. It allows for detailed monitoring and configuration options tailored to specific operational requirements.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

Nvidia SMI and Microsoft SQL Server

This plugin collects GPU statistics from the NVIDIA System Management Interface (SMI), including memory usage, temperature, and more. It utilizes the `nvidia-smi` binary to extract real-time performance metrics from NVIDIA GPUs.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

Intel PowerStat and Microsoft SQL Server

This plugin captures essential power and performance metrics for Intel CPUs, allowing users to optimize workloads and improve energy efficiency. It aids in telemetry and analytics efforts related to CPU usage, temperature, and power consumption.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

iptables and Microsoft SQL Server

The iptables input plugin gathers metrics on packet and byte counters for specified rules within the Linux iptables firewall, allowing for effective monitoring of network traffic through defined rules.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

InfiniBand and Microsoft SQL Server

This plugin collects metrics from InfiniBand devices and ports on Linux systems. It monitors various performance indicators including error rates and packet statistics.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

Wireguard and Microsoft SQL Server

The Wireguard input plugin gathers stats from Wireguard interfaces and their peers, facilitating effective monitoring. By utilizing the wgctrl library, it provides key metrics to administrators for enhanced network management.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

Kibana and Microsoft SQL Server

This plugin queries the Kibana API to fetch the service status and provides various performance metrics. It helps in monitoring Kibana's health, such as its uptime and resource usage efficiently.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

Cisco Model-Driven Telemetry and Microsoft SQL Server

This plugin provides an input method for collecting telemetry data from Cisco devices using model-driven telemetry techniques. It supports flexible transport options and real-time data accessibility.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

Fireboard and Microsoft SQL Server

The Fireboard plugin collects real-time temperature data from Fireboard thermometers. This allows for precise monitoring of temperature-sensitive environments.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

Icinga and Microsoft SQL Server

The Icinga2 Plugin collects real-time status of services and hosts from Icinga2's Remote API. This helps in maintaining an updated view of system health and performance metrics across your infrastructure.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

IPMI Sensor and Microsoft SQL Server

This plugin retrieves sensor data using the IPMI protocol through the `ipmitool`. It can gather metrics from local and remote servers, allowing for enhanced monitoring of hardware status.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

IPVS and Microsoft SQL Server

This input plugin captures metrics for IPVS virtual and real servers. It leverages the Linux kernel's netlink interface for data collection, providing insights into server performance and connections.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

JTI OpenConfig Telemetry and Microsoft SQL Server

The JTI OpenConfig Telemetry plugin facilitates the collection of telemetry data from devices using the Junos Telemetry Interface in real-time. It enables flexible configurations including device addresses, user credentials, and sensor management.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

Kernel and Microsoft SQL Server

This plugin gathers Linux kernel statistics not captured by other plugins, focusing on system metrics and entropy availability.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

Apache Aurora and Microsoft SQL Server

The Aurora plugin collects metrics from Apache Aurora schedulers, facilitating monitoring and operational oversight. It interfaces efficiently with the schedulers to provide key performance metrics essential for cluster health assessment.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

Azure Storage Queue and Microsoft SQL Server

The Azure Storage Queue plugin collects metrics about Azure Storage Queues, focusing on size and message age. It helps improve operational oversight of storage resources in Azure.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

Arista LANZ and Microsoft SQL Server

The Arista LANZ plugin reads metrics from Arista's Latency Analyzer (LANZ) to help monitor network performance. It utilizes a TCP connection to gather data in a Protobuffers format.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

Phillips Hue Bridge and Microsoft SQL Server

The Hue Bridge plugin enables the monitoring of Philips Hue Bridge devices. It collects various metrics related to lighting and environmental conditions from smart home systems.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

Netflow and Microsoft SQL Server

This plugin collects flow data using Netflow v5, v9 and IPFIX protocols, providing insights into network traffic patterns and behaviors. By leveraging this plugin, organizations can enhance their network monitoring capabilities and gain visibility into real-time traffic flows.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

KNX and Microsoft SQL Server

This plugin captures data from the KNX home-automation bus through a KNX-IP interface. It supports customizable measurement definitions and real-time event listening for enhanced smart home automation.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

ntpq and Microsoft SQL Server

Collects metrics from NTP servers using the ntpq executable to monitor time synchronization performance. Key metrics include delay, jitter, offset, and polling information for effective timekeeping.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

MavLink and Microsoft SQL Server

The MavLink input plugin allows the collection of telemetry data from flight controllers, enabling real-time monitoring of unmanned systems. It supports diverse connection methods, including TCP and UDP, while offering configuration flexibility for message filtering.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

Kafka and SQLite

This plugin reads messages from Kafka and allows the creation of metrics based on those messages. It supports various configurations, settings, and message processing options.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

Kinesis and SQLite

The Kinesis plugin allows for reading metrics from AWS Kinesis streams. It supports multiple input data formats and offers checkpointing features with DynamoDB for reliable message processing.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

HTTP and SQLite

The HTTP plugin collects metrics from one or more HTTP(S) endpoints. It supports various authentication methods and configuration options for data formats.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

SNMP and SQLite

The SNMP plugin gathers metrics using SNMP agents through configurable requests. It supports both OIDs and table data collection for comprehensive monitoring.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

Modbus and SQLite

The Modbus plugin enables data collection from Modbus devices via TCP or RTU/ASCII. It supports various configurations for retrieving different types of data from slave devices.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

OPC UA and SQLite

This plugin gathers metrics from OPC UA servers, enabling comprehensive device monitoring. Users can configure various options for connecting to and retrieving data from multiple OPC UA nodes.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

MQTT and SQLite

The MQTT plugin is a service input for reading metrics from specified MQTT topics. It supports various data formats and configuration options for reliable message consumption.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

gNMI and SQLite

The gNMI Input Plugin enables users to collect telemetry data from network devices in real-time. It is designed to work with any gNMI-compliant platform, including various Cisco devices.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

Fluentd and SQLite

Fluentd Input Plugin collects metrics from the Fluentd monitoring endpoint. It helps users monitor fluentd plugins and manage performance efficiently.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

OpenTelemetry and SQLite

The OpenTelemetry Telegraf plugin facilitates the ingestion of telemetry data through gRPC, providing support for traces, metrics, and logs. This ensures that applications can be monitored effectively using the OpenTelemetry standard.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

AMQP and SQLite

This plugin is designed for consuming metrics from AMQP 0-9-1, such as those provided by RabbitMQ. It efficiently reads data from queues and exchanges using configurable parameters, making it ideal for integrated monitoring setups.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

Amazon CloudWatch and SQLite

The Amazon CloudWatch Statistics Input Plugin allows you to gather metric statistics from AWS CloudWatch. It supports flexible authentication and configuration options, making it suitable for various monitoring requirements.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

Zipkin and SQLite

The Zipkin Input Plugin gathers trace and timing data required for troubleshooting latency in microservices. Leveraging spans and annotations, it improves observability and performance tracking in distributed systems.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

NATS and SQLite

This plugin reads metrics from NATS subjects, allowing for parallel consumption across multiple instances of Telegraf. It supports various authentication methods and is designed to ensure message reliability and persistence.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

Kubernetes and SQLite

The Kubernetes input plugin gathers metrics about running containers and pods from the Kubelet API, tailored for deployment as a daemonset within a Kubernetes cluster. It enables efficient monitoring of cluster resources and ensures compatibility with supported Kubernetes versions.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

StatsD and SQLite

The StatsD input plugin collects metrics from a StatsD server to facilitate performance monitoring. By functioning as a background listener, it efficiently processes various stat types including gauges and counters.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

Docker and SQLite

Monitor the performance and resource usage of Docker containers. This plugin provides essential metrics for understanding container health and resource consumption.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

Apache and SQLite

This plugin collects performance metrics from the Apache HTTP server using the mod_status module. It provides insights into server load, connections, and worker status.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

Amazon ECS and SQLite

This plugin collects metrics about containers running on AWS ECS, allowing for detailed monitoring and performance analysis. It integrates tightly with AWS services to retrieve metadata and statistics directly from the ECS API.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

ActiveMQ and SQLite

This plugin collects metrics from ActiveMQ using its Console API, including queue sizes and message counts. It enables real-time monitoring of ActiveMQ's performance and health.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

Google Cloud PubSub and SQLite

A plugin for ingesting metrics from Google Cloud PubSub subscriptions, providing real-time data integration capabilities.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

Azure Event Hubs and SQLite

A plugin to consume data from Azure Event Hubs and Azure IoT Hub, facilitating real-time data processing.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

Consul and SQLite

The Consul Input Plugin reports health check statuses from services registered in Consul, enabling real-time operational monitoring. Users can configure connection details, authentication, and how to manage tags associated with health check metrics.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

Google Cloud Stackdriver and SQLite

The Stackdriver input plugin provides functionality to gather metrics from Google Cloud. It simplifies access to a wide range of monitoring data for better insight into cloud operations.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

AWS Data Firehose and SQLite

AWS Data Firehose Input Plugin enables real-time metric ingestion from AWS Data Firehose via HTTP. It supports various data formats and offers security and configuration options for flexible integration.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

Google Cloud Storage and SQLite

Collects metrics from Google Cloud Storage buckets for performance monitoring.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

HAProxy and SQLite

The HAProxy plugin collects metrics from HAProxy servers using either a stats socket or HTTP endpoints, enabling detailed monitoring of server status and performance analytics. This plugin allows for comprehensive visibility into HAProxy's operational metrics, helping administrators ensure optimal load balancing and application performance.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

Jenkins and SQLite

This plugin gathers information about the nodes and jobs running in a Jenkins instance using the Jenkins API. It enables seamless integration and monitoring without requiring any additional Jenkins plugins.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

LDAP and SQLite

The LDAP plugin collects metrics from LDAP servers for performance monitoring. It supports multiple connection schemes and provides detailed server metrics for operational health assessment.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

Nginx and SQLite

The Nginx plugin monitors the performance of Nginx servers, gathering important status information for server performance tracking.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

Hashicorp Nomad and SQLite

The Hashicorp Nomad input plugin collects metrics from Nomad agents in a cluster. It helps in monitoring the health and performance of the Nomad environment.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

OpenStack and SQLite

The OpenStack Telegraf plugin collects metrics from OpenStack services, aiding in performance monitoring. It allows users to configure polling intervals and manage enabled services to optimize data collection.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

Webhooks and SQLite

This plugin provides an HTTP server for handling webhook requests from various services. It handles events and metrics sent to different configured paths, facilitating integration with external systems.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

Tail and SQLite

The Tail plugin monitors log files for new entries and parses log messages. It efficiently handles log rotation and provides various configuration options for optimal performance.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

Azure Monitor and SQLite

The Azure Monitor plugin collects metrics from Azure resources. It provides a way to access detailed performance insights via the Azure Monitor API.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

NSQ and SQLite

This plugin facilitates the consumption of messages from NSQ, a real-time messaging platform. It ensures reliable data processing by managing undelivered messages and integrating various data formats.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

RabbitMQ and SQLite

The RabbitMQ plugin collects metrics from RabbitMQ servers, enabling effective monitoring of message queues and processing. It supports various metrics essential for maintaining the health and performance of RabbitMQ instances.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

Salesforce and SQLite

Salesforce plugin monitors API usage limits in Salesforce organizations. It fetches data through Salesforce's REST API to provide insights on remaining usage and thresholds.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

SNMP Trap and SQLite

The SNMP Trap input plugin allows for receiving and processing SNMP traps and inform requests over UDP. It is essential for network monitoring, enabling integration with a multitude of devices to capture and respond to network events.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

Supervisor and SQLite

The Supervisor plugin collects metrics from processes managed by Supervisor using XML-RPC. It provides insights into process states, uptime, and other relevant metrics for effective monitoring.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

Suricata and SQLite

The Suricata plugin collects performance stats from the Suricata IDS/IPS engine, providing vital insights into network operations. It transforms Suricata's JSON outputs into metrics suitable for Telegraf.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

Syslog and SQLite

Capture syslog messages from various protocols with the Syslog plugin. This plugin allows integration of structured logging data into monitoring systems, utilizing TCP, UDP, and TLS.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

Memcached and SQLite

The Memcached plugin collects real-time metrics from Memcached servers, providing insights into their performance and resource utilization. It is essential for monitoring caching strategies and optimizing application responsiveness.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

Mesos and SQLite

Telegraf's Mesos input plugin collects metrics from Apache Mesos, a leading cluster and resource management system. It provides insights into resource utilization and tasks across the Mesos architecture, aiding in monitoring and performance analysis.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

Apache Zookeeper and SQLite

This plugin gathers metrics from Apache Zookeeper servers using the 'mntr' command output. It helps monitor Zookeeper's performance and operational status efficiently.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

Hashicorp Vault and SQLite

This plugin collects metrics from Hashicorp Vault agents, helping to monitor their performance and health. It requires a valid Vault token for authorization.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

VMware vSphere and SQLite

This plugin collects metrics from VMware vSphere using the vSphere API, including data from clusters, hosts, VMs, datastores, and vSAN. It supports various configuration options to tailor data collection to specific monitoring needs and enhances visibility into the performance of virtual environments.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

Ceph and SQLite

This plugin collects performance metrics from Ceph storage clusters, enhancing observability and facilitating better management. It retrieves data from both MON and OSD nodes, allowing administrators to monitor the health and performance of their storage system.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

DNS and SQLite

This plugin collects DNS query times and provides key metrics for performance monitoring. It allows users to gain insights into the resolution times from specified DNS servers, helping identify potential issues in DNS performance.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

ctrlX Data Layer and SQLite

This plugin gathers data from the ctrlX Data Layer middleware used in professional automation applications. It allows for detailed monitoring and configuration options tailored to specific operational requirements.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

Nvidia SMI and SQLite

This plugin collects GPU statistics from the NVIDIA System Management Interface (SMI), including memory usage, temperature, and more. It utilizes the `nvidia-smi` binary to extract real-time performance metrics from NVIDIA GPUs.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

Intel PowerStat and SQLite

This plugin captures essential power and performance metrics for Intel CPUs, allowing users to optimize workloads and improve energy efficiency. It aids in telemetry and analytics efforts related to CPU usage, temperature, and power consumption.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

iptables and SQLite

The iptables input plugin gathers metrics on packet and byte counters for specified rules within the Linux iptables firewall, allowing for effective monitoring of network traffic through defined rules.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

InfiniBand and SQLite

This plugin collects metrics from InfiniBand devices and ports on Linux systems. It monitors various performance indicators including error rates and packet statistics.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

Wireguard and SQLite

The Wireguard input plugin gathers stats from Wireguard interfaces and their peers, facilitating effective monitoring. By utilizing the wgctrl library, it provides key metrics to administrators for enhanced network management.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

Kibana and SQLite

This plugin queries the Kibana API to fetch the service status and provides various performance metrics. It helps in monitoring Kibana's health, such as its uptime and resource usage efficiently.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

Cisco Model-Driven Telemetry and SQLite

This plugin provides an input method for collecting telemetry data from Cisco devices using model-driven telemetry techniques. It supports flexible transport options and real-time data accessibility.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

Fireboard and SQLite

The Fireboard plugin collects real-time temperature data from Fireboard thermometers. This allows for precise monitoring of temperature-sensitive environments.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

Icinga and SQLite

The Icinga2 Plugin collects real-time status of services and hosts from Icinga2's Remote API. This helps in maintaining an updated view of system health and performance metrics across your infrastructure.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

IPMI Sensor and SQLite

This plugin retrieves sensor data using the IPMI protocol through the `ipmitool`. It can gather metrics from local and remote servers, allowing for enhanced monitoring of hardware status.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

IPVS and SQLite

This input plugin captures metrics for IPVS virtual and real servers. It leverages the Linux kernel's netlink interface for data collection, providing insights into server performance and connections.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

JTI OpenConfig Telemetry and SQLite

The JTI OpenConfig Telemetry plugin facilitates the collection of telemetry data from devices using the Junos Telemetry Interface in real-time. It enables flexible configurations including device addresses, user credentials, and sensor management.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

Kernel and SQLite

This plugin gathers Linux kernel statistics not captured by other plugins, focusing on system metrics and entropy availability.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

Apache Aurora and SQLite

The Aurora plugin collects metrics from Apache Aurora schedulers, facilitating monitoring and operational oversight. It interfaces efficiently with the schedulers to provide key performance metrics essential for cluster health assessment.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

Azure Storage Queue and SQLite

The Azure Storage Queue plugin collects metrics about Azure Storage Queues, focusing on size and message age. It helps improve operational oversight of storage resources in Azure.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

Arista LANZ and SQLite

The Arista LANZ plugin reads metrics from Arista's Latency Analyzer (LANZ) to help monitor network performance. It utilizes a TCP connection to gather data in a Protobuffers format.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

Phillips Hue Bridge and SQLite

The Hue Bridge plugin enables the monitoring of Philips Hue Bridge devices. It collects various metrics related to lighting and environmental conditions from smart home systems.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

Netflow and SQLite

This plugin collects flow data using Netflow v5, v9 and IPFIX protocols, providing insights into network traffic patterns and behaviors. By leveraging this plugin, organizations can enhance their network monitoring capabilities and gain visibility into real-time traffic flows.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

KNX and SQLite

This plugin captures data from the KNX home-automation bus through a KNX-IP interface. It supports customizable measurement definitions and real-time event listening for enhanced smart home automation.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

ntpq and SQLite

Collects metrics from NTP servers using the ntpq executable to monitor time synchronization performance. Key metrics include delay, jitter, offset, and polling information for effective timekeeping.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

MavLink and SQLite

The MavLink input plugin allows the collection of telemetry data from flight controllers, enabling real-time monitoring of unmanned systems. It supports diverse connection methods, including TCP and UDP, while offering configuration flexibility for message filtering.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

Kafka and Clickhouse

This plugin reads messages from Kafka and allows the creation of metrics based on those messages. It supports various configurations, settings, and message processing options.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

Kinesis and Clickhouse

The Kinesis plugin allows for reading metrics from AWS Kinesis streams. It supports multiple input data formats and offers checkpointing features with DynamoDB for reliable message processing.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

HTTP and Clickhouse

The HTTP plugin collects metrics from one or more HTTP(S) endpoints. It supports various authentication methods and configuration options for data formats.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

SNMP and Clickhouse

The SNMP plugin gathers metrics using SNMP agents through configurable requests. It supports both OIDs and table data collection for comprehensive monitoring.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

Modbus and Clickhouse

The Modbus plugin enables data collection from Modbus devices via TCP or RTU/ASCII. It supports various configurations for retrieving different types of data from slave devices.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

OPC UA and Clickhouse

This plugin gathers metrics from OPC UA servers, enabling comprehensive device monitoring. Users can configure various options for connecting to and retrieving data from multiple OPC UA nodes.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

MQTT and Clickhouse

The MQTT plugin is a service input for reading metrics from specified MQTT topics. It supports various data formats and configuration options for reliable message consumption.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

gNMI and Clickhouse

The gNMI Input Plugin enables users to collect telemetry data from network devices in real-time. It is designed to work with any gNMI-compliant platform, including various Cisco devices.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

Fluentd and Clickhouse

Fluentd Input Plugin collects metrics from the Fluentd monitoring endpoint. It helps users monitor fluentd plugins and manage performance efficiently.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

OpenTelemetry and Clickhouse

The OpenTelemetry Telegraf plugin facilitates the ingestion of telemetry data through gRPC, providing support for traces, metrics, and logs. This ensures that applications can be monitored effectively using the OpenTelemetry standard.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

AMQP and Clickhouse

This plugin is designed for consuming metrics from AMQP 0-9-1, such as those provided by RabbitMQ. It efficiently reads data from queues and exchanges using configurable parameters, making it ideal for integrated monitoring setups.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

Amazon CloudWatch and Clickhouse

The Amazon CloudWatch Statistics Input Plugin allows you to gather metric statistics from AWS CloudWatch. It supports flexible authentication and configuration options, making it suitable for various monitoring requirements.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

Zipkin and Clickhouse

The Zipkin Input Plugin gathers trace and timing data required for troubleshooting latency in microservices. Leveraging spans and annotations, it improves observability and performance tracking in distributed systems.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

NATS and Clickhouse

This plugin reads metrics from NATS subjects, allowing for parallel consumption across multiple instances of Telegraf. It supports various authentication methods and is designed to ensure message reliability and persistence.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

Kubernetes and Clickhouse

The Kubernetes input plugin gathers metrics about running containers and pods from the Kubelet API, tailored for deployment as a daemonset within a Kubernetes cluster. It enables efficient monitoring of cluster resources and ensures compatibility with supported Kubernetes versions.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

StatsD and Clickhouse

The StatsD input plugin collects metrics from a StatsD server to facilitate performance monitoring. By functioning as a background listener, it efficiently processes various stat types including gauges and counters.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

Docker and Clickhouse

Monitor the performance and resource usage of Docker containers. This plugin provides essential metrics for understanding container health and resource consumption.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

Apache and Clickhouse

This plugin collects performance metrics from the Apache HTTP server using the mod_status module. It provides insights into server load, connections, and worker status.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

Amazon ECS and Clickhouse

This plugin collects metrics about containers running on AWS ECS, allowing for detailed monitoring and performance analysis. It integrates tightly with AWS services to retrieve metadata and statistics directly from the ECS API.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

ActiveMQ and Clickhouse

This plugin collects metrics from ActiveMQ using its Console API, including queue sizes and message counts. It enables real-time monitoring of ActiveMQ's performance and health.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

Google Cloud PubSub and Clickhouse

A plugin for ingesting metrics from Google Cloud PubSub subscriptions, providing real-time data integration capabilities.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

Azure Event Hubs and Clickhouse

A plugin to consume data from Azure Event Hubs and Azure IoT Hub, facilitating real-time data processing.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

Consul and Clickhouse

The Consul Input Plugin reports health check statuses from services registered in Consul, enabling real-time operational monitoring. Users can configure connection details, authentication, and how to manage tags associated with health check metrics.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

Google Cloud Stackdriver and Clickhouse

The Stackdriver input plugin provides functionality to gather metrics from Google Cloud. It simplifies access to a wide range of monitoring data for better insight into cloud operations.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

AWS Data Firehose and Clickhouse

AWS Data Firehose Input Plugin enables real-time metric ingestion from AWS Data Firehose via HTTP. It supports various data formats and offers security and configuration options for flexible integration.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

Google Cloud Storage and Clickhouse

Collects metrics from Google Cloud Storage buckets for performance monitoring.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

HAProxy and Clickhouse

The HAProxy plugin collects metrics from HAProxy servers using either a stats socket or HTTP endpoints, enabling detailed monitoring of server status and performance analytics. This plugin allows for comprehensive visibility into HAProxy's operational metrics, helping administrators ensure optimal load balancing and application performance.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

Jenkins and Clickhouse

This plugin gathers information about the nodes and jobs running in a Jenkins instance using the Jenkins API. It enables seamless integration and monitoring without requiring any additional Jenkins plugins.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

LDAP and Clickhouse

The LDAP plugin collects metrics from LDAP servers for performance monitoring. It supports multiple connection schemes and provides detailed server metrics for operational health assessment.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

Nginx and Clickhouse

The Nginx plugin monitors the performance of Nginx servers, gathering important status information for server performance tracking.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

Hashicorp Nomad and Clickhouse

The Hashicorp Nomad input plugin collects metrics from Nomad agents in a cluster. It helps in monitoring the health and performance of the Nomad environment.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

OpenStack and Clickhouse

The OpenStack Telegraf plugin collects metrics from OpenStack services, aiding in performance monitoring. It allows users to configure polling intervals and manage enabled services to optimize data collection.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

Webhooks and Clickhouse

This plugin provides an HTTP server for handling webhook requests from various services. It handles events and metrics sent to different configured paths, facilitating integration with external systems.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

Tail and Clickhouse

The Tail plugin monitors log files for new entries and parses log messages. It efficiently handles log rotation and provides various configuration options for optimal performance.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

Azure Monitor and Clickhouse

The Azure Monitor plugin collects metrics from Azure resources. It provides a way to access detailed performance insights via the Azure Monitor API.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

NSQ and Clickhouse

This plugin facilitates the consumption of messages from NSQ, a real-time messaging platform. It ensures reliable data processing by managing undelivered messages and integrating various data formats.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

RabbitMQ and Clickhouse

The RabbitMQ plugin collects metrics from RabbitMQ servers, enabling effective monitoring of message queues and processing. It supports various metrics essential for maintaining the health and performance of RabbitMQ instances.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

Salesforce and Clickhouse

Salesforce plugin monitors API usage limits in Salesforce organizations. It fetches data through Salesforce's REST API to provide insights on remaining usage and thresholds.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

SNMP Trap and Clickhouse

The SNMP Trap input plugin allows for receiving and processing SNMP traps and inform requests over UDP. It is essential for network monitoring, enabling integration with a multitude of devices to capture and respond to network events.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

Supervisor and Clickhouse

The Supervisor plugin collects metrics from processes managed by Supervisor using XML-RPC. It provides insights into process states, uptime, and other relevant metrics for effective monitoring.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

Suricata and Clickhouse

The Suricata plugin collects performance stats from the Suricata IDS/IPS engine, providing vital insights into network operations. It transforms Suricata's JSON outputs into metrics suitable for Telegraf.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

Syslog and Clickhouse

Capture syslog messages from various protocols with the Syslog plugin. This plugin allows integration of structured logging data into monitoring systems, utilizing TCP, UDP, and TLS.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

Memcached and Clickhouse

The Memcached plugin collects real-time metrics from Memcached servers, providing insights into their performance and resource utilization. It is essential for monitoring caching strategies and optimizing application responsiveness.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

Mesos and Clickhouse

Telegraf's Mesos input plugin collects metrics from Apache Mesos, a leading cluster and resource management system. It provides insights into resource utilization and tasks across the Mesos architecture, aiding in monitoring and performance analysis.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

Apache Zookeeper and Clickhouse

This plugin gathers metrics from Apache Zookeeper servers using the 'mntr' command output. It helps monitor Zookeeper's performance and operational status efficiently.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

Hashicorp Vault and Clickhouse

This plugin collects metrics from Hashicorp Vault agents, helping to monitor their performance and health. It requires a valid Vault token for authorization.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

VMware vSphere and Clickhouse

This plugin collects metrics from VMware vSphere using the vSphere API, including data from clusters, hosts, VMs, datastores, and vSAN. It supports various configuration options to tailor data collection to specific monitoring needs and enhances visibility into the performance of virtual environments.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

Ceph and Clickhouse

This plugin collects performance metrics from Ceph storage clusters, enhancing observability and facilitating better management. It retrieves data from both MON and OSD nodes, allowing administrators to monitor the health and performance of their storage system.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

DNS and Clickhouse

This plugin collects DNS query times and provides key metrics for performance monitoring. It allows users to gain insights into the resolution times from specified DNS servers, helping identify potential issues in DNS performance.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

ctrlX Data Layer and Clickhouse

This plugin gathers data from the ctrlX Data Layer middleware used in professional automation applications. It allows for detailed monitoring and configuration options tailored to specific operational requirements.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

Nvidia SMI and Clickhouse

This plugin collects GPU statistics from the NVIDIA System Management Interface (SMI), including memory usage, temperature, and more. It utilizes the `nvidia-smi` binary to extract real-time performance metrics from NVIDIA GPUs.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

Intel PowerStat and Clickhouse

This plugin captures essential power and performance metrics for Intel CPUs, allowing users to optimize workloads and improve energy efficiency. It aids in telemetry and analytics efforts related to CPU usage, temperature, and power consumption.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

iptables and Clickhouse

The iptables input plugin gathers metrics on packet and byte counters for specified rules within the Linux iptables firewall, allowing for effective monitoring of network traffic through defined rules.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

InfiniBand and Clickhouse

This plugin collects metrics from InfiniBand devices and ports on Linux systems. It monitors various performance indicators including error rates and packet statistics.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

Wireguard and Clickhouse

The Wireguard input plugin gathers stats from Wireguard interfaces and their peers, facilitating effective monitoring. By utilizing the wgctrl library, it provides key metrics to administrators for enhanced network management.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

Kibana and Clickhouse

This plugin queries the Kibana API to fetch the service status and provides various performance metrics. It helps in monitoring Kibana's health, such as its uptime and resource usage efficiently.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

Cisco Model-Driven Telemetry and Clickhouse

This plugin provides an input method for collecting telemetry data from Cisco devices using model-driven telemetry techniques. It supports flexible transport options and real-time data accessibility.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

Fireboard and Clickhouse

The Fireboard plugin collects real-time temperature data from Fireboard thermometers. This allows for precise monitoring of temperature-sensitive environments.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

Icinga and Clickhouse

The Icinga2 Plugin collects real-time status of services and hosts from Icinga2's Remote API. This helps in maintaining an updated view of system health and performance metrics across your infrastructure.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

IPMI Sensor and Clickhouse

This plugin retrieves sensor data using the IPMI protocol through the `ipmitool`. It can gather metrics from local and remote servers, allowing for enhanced monitoring of hardware status.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

IPVS and Clickhouse

This input plugin captures metrics for IPVS virtual and real servers. It leverages the Linux kernel's netlink interface for data collection, providing insights into server performance and connections.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

JTI OpenConfig Telemetry and Clickhouse

The JTI OpenConfig Telemetry plugin facilitates the collection of telemetry data from devices using the Junos Telemetry Interface in real-time. It enables flexible configurations including device addresses, user credentials, and sensor management.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

Kernel and Clickhouse

This plugin gathers Linux kernel statistics not captured by other plugins, focusing on system metrics and entropy availability.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

Apache Aurora and Clickhouse

The Aurora plugin collects metrics from Apache Aurora schedulers, facilitating monitoring and operational oversight. It interfaces efficiently with the schedulers to provide key performance metrics essential for cluster health assessment.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

Azure Storage Queue and Clickhouse

The Azure Storage Queue plugin collects metrics about Azure Storage Queues, focusing on size and message age. It helps improve operational oversight of storage resources in Azure.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

Arista LANZ and Clickhouse

The Arista LANZ plugin reads metrics from Arista's Latency Analyzer (LANZ) to help monitor network performance. It utilizes a TCP connection to gather data in a Protobuffers format.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

Phillips Hue Bridge and Clickhouse

The Hue Bridge plugin enables the monitoring of Philips Hue Bridge devices. It collects various metrics related to lighting and environmental conditions from smart home systems.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

Netflow and Clickhouse

This plugin collects flow data using Netflow v5, v9 and IPFIX protocols, providing insights into network traffic patterns and behaviors. By leveraging this plugin, organizations can enhance their network monitoring capabilities and gain visibility into real-time traffic flows.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

KNX and Clickhouse

This plugin captures data from the KNX home-automation bus through a KNX-IP interface. It supports customizable measurement definitions and real-time event listening for enhanced smart home automation.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

ntpq and Clickhouse

Collects metrics from NTP servers using the ntpq executable to monitor time synchronization performance. Key metrics include delay, jitter, offset, and polling information for effective timekeeping.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

MavLink and Clickhouse

The MavLink input plugin allows the collection of telemetry data from flight controllers, enabling real-time monitoring of unmanned systems. It supports diverse connection methods, including TCP and UDP, while offering configuration flexibility for message filtering.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

Kafka and MySQL

This plugin reads messages from Kafka and allows the creation of metrics based on those messages. It supports various configurations, settings, and message processing options.
This plugin enables saving metrics into a MySQL database, with options to customize table schemas and the type conversion process. A robust solution for users wanting to leverage SQL databases for metric storage.

Kinesis and MySQL

The Kinesis plugin allows for reading metrics from AWS Kinesis streams. It supports multiple input data formats and offers checkpointing features with DynamoDB for reliable message processing.
This plugin enables saving metrics into a MySQL database, with options to customize table schemas and the type conversion process. A robust solution for users wanting to leverage SQL databases for metric storage.

HTTP and MySQL

The HTTP plugin collects metrics from one or more HTTP(S) endpoints. It supports various authentication methods and configuration options for data formats.
This plugin enables saving metrics into a MySQL database, with options to customize table schemas and the type conversion process. A robust solution for users wanting to leverage SQL databases for metric storage.

SNMP and MySQL