Observability uses externally emitted telemetry to understand what is happening inside distributed systems. Logs, metrics, and traces preserve events, reveal cause and effect, and support faster diagnosis. section 1.1.1
Effective observability connects operational data across system boundaries:
- Aggregate logs, metrics, and traces from many sources before transient production data is lost. section 1.1.1
- Correlate events across applications, databases, servers, and microservices to reconstruct a complete operational picture. section 1.1.1
- Standardize transaction tracking across services with OpenTelemetry and connect monitoring workflows with Prometheus or Grafana Loki. section 1.3
Diagnosing a storage failure
A database emits errors after storage fills. Correlating database logs with housekeeping events and storage metrics can show whether cleanup failed or capacity monitoring was overlooked. section 1.1.1
Observability also supports automated build pipelines: monitoring pipeline health, artifact storage, and operating costs becomes increasingly important as delivery and pricing models become more dynamic. section 11.9
