Why it matters

Bad logging makes incidents unsolvable. Good logging turns them into 5-minute fixes. Investment in logging pays back constantly.

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The architecture

Structured logs: JSON typical. Standard fields: timestamp, level, message, service, correlation IDs.

Log levels: DEBUG, INFO, WARN, ERROR, FATAL. Filter production noise from important signal.

Logging pipelineStructured logsJSON key-valueCorrelation IDstrace + requestAggregationELK / Loki / CloudCorrelation IDs let you follow a request across services in the log store
Logging components.
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How it works end to end

Correlation IDs: trace ID, request ID, session ID. Enable connecting logs across services and to traces.

Log levels: use appropriately. Verbose (DEBUG) in dev, restrained (INFO+) in prod.

Sensitive data: never log passwords, tokens, PII. Redact carefully.

Volume: logs are expensive at scale. Sample high-volume paths; keep detail on errors.