What is monitoring-and-observability?
Tools and techniques for measuring the internal state and health of complex systems.
While often used together, they mean different things. Monitoring is about answering 'Is the system healthy?' (Checking predefined metrics like CPU or memory). Observability is about answering 'Why is the system behaving this way?' (Using detailed logs and traces to understand unknown issues).
graph LR
Center["What is monitoring-and-observability?"]:::main
Rel_carbon_footprint["carbon-footprint"]:::related -.-> Center
click Rel_carbon_footprint "/terms/carbon-footprint"
Rel_governance["governance"]:::related -.-> Center
click Rel_governance "/terms/governance"
Rel_testnet["testnet"]:::related -.-> Center
click Rel_testnet "/terms/testnet"
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🧠 理解度チェック
🧒 5歳でもわかるように説明
[Monitoring](/ja/terms/monitoring) is like the dashboard of a car. It tells you if you have gas or if the engine is too hot. [Observability](/ja/terms/observability) is like having a super-camera that can look inside every single part of the engine while it's moving, so if there's a weird noise, you can see exactly which tiny screw is loose.
🤓 Expert Deep Dive
Observability is built on the 'Three Pillars': Logs (discrete events), Metrics (aggregates over time), and Traces (the path of a single request through microservices). Monitoring is reactive, while observability is proactive and exploratory, essential for debugging distributed systems.