Observability Fundamentals

作者 honeycombiob169d7d1c76a無授權條款27 個星標收錄於 2026年10月8日更新於 2026年10月8日儲存庫2 週前更新

First principles behind observability — wide events, high cardinality, the core analysis loop, events vs metrics vs logs, and how instrumentation connects to debugging outcomes. Grounds recommendations in first principles rather than tool-specific how-to. Trigger phrases: "what is observability", "why observability", "why Honeycomb", "events vs metrics vs logs", "events vs metrics", "events vs logs", "metrics vs logs", "why wide events", "what is high cardinality", "core analysis loop", "observability vs monitoring", "what is dimensionality", "explain observability", or any conceptual question about observability or why Honeycomb's approach differs from traditional monitoring.