4 free resources on this topic. Everything here is free and hand-picked. You can also search within this topic.
Open-source, vendor-neutral observability framework for cloud-native software. It provides a single set of APIs, libraries, agents, and collector services to capture distributed traces, metrics, and logs, built on the earlier OpenTracing and OpenCensus projects.
NVIDIA's technical reference for continuous in-silicon monitoring of AI agents: a safety enforcement layer spanning software and hardware that watches agent behavior at the chip level, aimed at securing agents running in production.
Monitoring for AI agents in production. Traces every run and tool call, groups repeated failures into one issue, and simulates a change on a pull request before you merge.
Why I recommend it: Free tier available; paid plans start around $150/month. Built for engineering teams shipping customer-facing agents — not something a job seeker will use, but useful if you build with AI.
Observability platform with a free-forever tier for distributed tracing, metrics, OpenTelemetry support and AI-assisted debugging. Useful for engineers learning modern observability and incident response.
