logging-observability
Logging and Observability
Overview
Observability enables understanding system behavior through logs, metrics, and traces. This skill provides patterns for:
- Structured Logging: JSON logs with correlation IDs and contextual data
- Distributed Tracing: Span-based request tracking across services (OpenTelemetry, Jaeger, Zipkin)
- Metrics Collection: Counters, gauges, histograms for system health (Prometheus patterns)
- Log Aggregation: Centralized log management (ELK, Loki, Datadog)
- Alerting: Symptom-based alerts with runbooks
Instructions
1. Structured Logging (JSON Logs)
Python Implementation
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