Observability

Why logs, metrics, traces, and health checks are different views of the same underlying events - correlated by shared identifiers, priced by cardinality - and how that framing decides what each pillar in this section is actually for.

Learn observability basics with 10 Python examples. Implement structured logging, request correlation IDs, and counter metrics.

Learn how to implement structured logging with structlog in Python, adding key-value context to JSON logs for easier filtering and correlation.

Implement health and readiness probes for Python applications. Learn to configure endpoints for orchestrators like Kubernetes to manage traffic.

Implement observability best practices for logging, metrics, and tracing. Learn to emit JSON logs, expose RED metrics, and sample traces effectively.

A single-page roundup of every highlight bullet from the 9 pages in the Observability section, grouped by source page so you can scan all 49 takeaways without opening each article individually.