My thoughts about Code, Infrastructure and Open Source
Most engineering teams have mixed feelings about Slack. For some, it's an endless stream of distractions. For others, it's essential. Learn how to transform Slack into a productivity powerhouse with battle-tested strategies for channel organization, automated workflows, and data-driven insights. The post Effective Communication in Slack for Engineering teams appeared first on Leev s .
How to connect JConsole, JMXTerm, and Java Flight Recorder to Strimzi Kafka Connect on Kubernetes by exposing JMX ports and configuring JVM options. The post How to debug Strimzi Kafka Connect Connector appeared first on Leev s .
Achieving real-time data processing with legacy systems can be challenging. This post explores how Change Data Capture (CDC) and Debezium can transform your data pipeline. By moving from batch processing to real-time streaming, you can enhance data freshness, scalability, and responsiveness. Learn how Debezium and Kafka simplify data ingestion, enabling immediate action on critical events and…
With more than 2 billion downloads over time to the AWS provider, it’s safe to say that Terraform is de facto the gold standard for IaC. But I feel that there is a profound problem with Terraform that no one talks about, or states enough. The post The profound problem with Terraform we are not talking about appeared first on Leev s .
Knowing how much your system can handle, how many RPS it can make and what the limiting factor is - the disk, network, memory or CPU can give your deployment a better framing, assist in preventive maintenance and help you guesstimate the impact of scaling out your system and eliminating toil. The post Know Your Limits: Cluster Benchmarks appeared first on Leev s .
What are we paying for when running Kafka on the cloud? And how can we reduce our cloud cost? The post A Practical Guide for Kafka Cost Reduction appeared first on Leev s .
This article covers one crucial piece of every distributed system: visibility. At AppsFlyer, we call ourselves metrics obsessed and truly believe that you cannot know what you cannot see. With 150+ billion events per day, Kafka monitoring and metrics are crucial. Here's how AppsFlyer built a Kafka lag monitoring solution with time-based metrics, smart alerts, and decoupling. The post Apache Kafka…
There are few useful configuration parameters that might be beneficial to collect when working with Kafka, but how to? The post How to collect Kafka configuration as metrics? appeared first on Leev s .