Agentic-Ready Telemetry Management
Telemetry Pipeline for AI-Era Data Volumes
Apica helps enterprises be “Agentic-Ready” by giving them the telemetry infrastructure, metrics foundation, and data readiness AI agents demand.
Gartner® Magic Quadrant™ Observability Platforms, 2025 & 2026
The Challenge
Observability budgets are at their breaking point and AI is about to make it exponentially worse.
This isn’t just a cost problem. It’s an architectural problem. Traditional platforms weren’t designed for AI-scale telemetry. They store everything indiscriminately and charge at every step. That model breaks when a single AI agent generates more telemetry in an hour than an entire app stack produced in a day.
of enterprises saw telemetry data triple in the past 12 months — average increase of 3.7×
expected average telemetry growth from agentic AI workloads within 2 years — 44% expect 6×–100×
average annual enterprise observability spend — growing 28% year-over-year with no natural ceiling
Source: Apica + Omdia/Informa TechTarget Survey Report
The Architecture Shift
From Platform to Pipeline: Build telemetry infrastructure that powers AI, not platform costs.
For 15+ years, teams treated telemetry pipelines as “dumb pipes” shoveling data into “smart platforms.” That collapses under AI. Agentic systems demand millisecond-level context. If intelligence lives only after storage and indexing, your costs spike first and your agents learn later.
This isn’t about replacing your observability platform. It’s about taking control of what reaches it, when, and at what cost.
Apica Ascent
Collection Plane
Centrally manage every telemetry agent across your entire environment. This is the organized data collection layer that feeds Flow (configuration-driven, dynamically adaptive.)
Control Plane
Shape, govern, and route telemetry before platform ingestion. 100% pipeline control with zero data loss.
Storage Plane
Retain everything, query instantly, replay on demand. The data foundation agents need for context and audit.
Intelligence Plane
AI-powered correlation of logs, metrics, traces, and events with out-of-the-box LLM monitoring dashboards.
Metrics Plane
Store and analyze massive, high-cardinality metrics in real time without sacrificing performance or economics.
Safety Net
Synthetic checks simulating real agent workflows end-to-end.
Test-Data Engine
Provision right-sized, compliant test data on demand for agentic journeys.
The Real Shift Left
Real intelligence isn’t in your platform UI. It’s in your configs, CMDB, runbooks, and post-mortems. With Apica, enrich context at collection, govern routing by business value, and enable instant “time-travel” replay before indexing and without storage tax.
Why Now
Every enterprise technology leader faces the same challenge: costs outpacing budgets, with AI making it exponentially worse.
01 — Driver
Production AI agents generate 10-100x more telemetry than POCs. Most enterprises haven’t budgeted for this reality.
02 — Driver
Kubernetes and microservices multiply telemetry sources exponentially. Traditional tools weren’t designed for this cardinality.
03 — Driver
Regulations demanding complete data retention conflict with platform pricing. The cost of compliance is becoming prohibitive.
04 — Driver
CIOs and CTOs with large observability spend are reevaluating their entire approach based on cost of operations.
“This is the tip of the iceberg. Organizations experimenting with AI agents today haven’t felt the full growth and cost impact yet. But it’s coming, which is why you need to make the right architectural choices before your AI-driven telemetry and costs explode.”
Mathias Thomsen CEO, Apica