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Product updates, engineering deep-dives, and practical guides from the aiAxonIQ team.
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LLM Observability: What to Trace and Why
LLM calls are expensive, non-deterministic and opaque. What to capture on every model call — tokens, latency, cost, errors — using the OTel GenAI conventions.
OpenTelemetry Collector vs Direct SDK Export: Which Should You Use?
Your OTel SDK can ship telemetry straight to a backend or through a Collector. A practical decision guide, and the gateway pattern most teams land on.
Reducing Alert Fatigue: A Practical Guide
Most teams get paged for things that don't need attention. Learn how to build alert rules that fire when it actually matters.
From Zero to Observability in 15 Minutes
A step-by-step walkthrough of instrumenting a Node.js API with OpenTelemetry and shipping traces to aiAxonIQ.
SLOs, SLAs, and SLIs: A No-Fluff Explainer
These three acronyms are everywhere in reliability engineering. Here's what they actually mean and how to use them correctly.
Why We Chose ClickHouse for Observability Data
After evaluating ElasticSearch, Loki, and Tempo, here's why we landed on ClickHouse for our logs and metrics storage engine.
Kubernetes Observability: The Complete Checklist
Pods, nodes, deployments, namespaces — monitoring Kubernetes can feel overwhelming. Start here.
PromQL for Beginners: 10 Queries You'll Actually Use
PromQL's power comes from a handful of patterns. Master these 10 and you'll handle 90% of real-world monitoring use cases.