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Glossary

What is observability?

Observability is the ability to understand a system's internal state from its outputs — logs, metrics, and traces — so you can debug and monitor it in production.

Observability rests on three signals: logs (discrete events), metrics (aggregated numbers), and traces (the path of a request across services). For distributed and AI systems it increasingly also covers token usage and output quality. The principle is simple: you cannot fix what you cannot see.

Open-source observability stacks instrument applications and, more and more, the LLM calls and agents inside them — turning opaque AI behaviour into something you can measure and debug.

Trending infrastructure projects →

Trending observability projects

  1. getagentseal/codeburn

    See where your AI coding tokens go. Interactive TUI dashboard for Claude Code, Codex, and Cursor cost observability.

    ★ 7.1K+16 · 24hmomentum 9TypeScript

  2. liaohch3/claude-tap

    Intercept and inspect Coding Agent API traffic from Claude Code, Codex CLI, Gemini CLI, Cursor CLI, OpenCode, Kimi, Pi, and Hermes in a local trace viewer.

    ★ 828+19 · 24hmomentum 6Python

▌ observability — FAQ

What is observability?
Observability is the ability to understand a system's internal state from its outputs — logs, metrics, and traces — so you can debug and monitor it in production. Observability rests on three signals: logs (discrete events), metrics (aggregated numbers), and traces (the path of a request across services). For distributed and AI systems it increasingly also covers token usage and output quality. The principle is simple: you cannot fix what you cannot see.