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