Why Developers Should Own Their Own Observability (And How to Start)
CNCF's case for shift-left observability: instrument your code while writing it, use zero-code OpenTelemetry for baselines, and add manual spans where it matters most.
The 5-Step Framework for Automated Root Cause Analysis at Cloud-Native Scale
Atlassian's published approach to multi-signal correlation shows how to correlate metrics, traces, and logs to generate ranked RCA hypotheses automatically — narrowing a 200-service search to tens of services within minutes of an incident.
How AWS Engineers Trace Agentic AI Failures with OpenTelemetry and OpenSearch
AWS has built a portable observability pattern for agentic AI using OpenTelemetry traces and OpenSearch Agent Health — making wrong tool calls, latency spirals, and context cache failures inspectable before they hit production.
Your AI Pipeline Is Broken and Your Dashboards Don't Know It
Traditional monitoring shows binary pass/fail. LLM pipelines fail probabilistically — silently returning plausible but wrong outputs while every health metric shows green. Here's what to instrument instead.
50% of Your Metrics Are Never Queried: The Case for Sustainable Observability
CNCF's telemetry panel found that half of collected metrics are never acted on. Here's the framework for designing observability pipelines that produce signal, not storage overhead.
OpenTelemetry Hits GA: Why the CNCF Graduation Matters for AI Platform Teams
OpenTelemetry graduated CNCF on May 11 with 1.36B JS downloads/year and Anthropic among its users. Here's what the AI era means for observability architecture.
Jaeger v2: Why OpenTelemetry Is the AI Agent Observability Layer
Jaeger v2 integrates OpenTelemetry at its core, adding native AI agent trace paths via MCP and AG-UI protocols. Here's what changes for cloud platform teams.