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Logging Module
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Logging Module
Core details
Title
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Description
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A Logging Module captures application events, errors, and metrics in structured formats, forwarding to sinks like ELK or Splunk for analysis and alerting. It supports levels (debug, info, error) and context enrichment.
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Usage & Trade-offs
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When to use it
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Integrate Logging when: - Debugging production issues post-deploy. - Auditing user actions for compliance. - Monitoring application health in real-time. - Correlating events across microservices.
Pros
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- Essential for observability and troubleshooting. - Structured logs enable powerful querying. - Async logging prevents perf bottlenecks. - Integrates with tracing for full context. - Retention policies for historical analysis.
Cons
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- Noisy logs overwhelm without filtering. - Storage costs for high-volume apps. - Security risks if logging sensitive data. - Overhead from string interpolation. - Parsing legacy unstructured logs is painful.
Notes
Note: Use Winston or Pino for Node.js. Enrich with request IDs for tracing. Rotate logs to manage disk usage.
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