Observability
Section titled “Observability”Make system behavior visible enough to diagnose failures, understand performance, and validate production behavior.
Observability covers the signals and practices used to infer internal behavior from external outputs. It owns signal design, context, interpretation, and operational feedback.
- Reliability explains behavior under faults, partial failure, and recovery.
- Performance explains resource use, latency, throughput, and optimization.
- Testing explains verification before deployment.
- Observability explains how production evidence supports those activities.
Entries (5)
Debug production behavior with evidenceDiagnose production failures by combining scoped observations, explicit hypotheses, and safe verification steps.
Design actionable alertsAlert only when a signal requires a timely response from a named owner.
Logs, metrics, and tracesUse complementary telemetry signals to understand events, aggregate behavior, and request paths.
Service-level indicators and objectivesDefine measurable user-relevant signals and the target service level they should meet over a stated period.
Structured logging and correlation identifiersRecord machine-readable events and stable request identifiers so related evidence can be found across boundaries.