Logging and Observability
Implement comprehensive logging, metrics, and tracing to understand system behavior and quickly diagnose issues in production.
7 lessons
Why Observability Matters
Understand why production systems need visibility through logs, metrics, and traces to diagnose problems effectively.
Structured Logging
Write machine-readable logs in JSON format that enable powerful searching, filtering, and analysis.
Log Levels and What to Log
Choose appropriate log levels and decide what information to capture without creating noise or exposing sensitive data.
Metrics and Dashboards
Measure system health with numeric metrics and visualize them on dashboards that answer "Is everything working?"
What Is Tracing?
Tracing follows a request through your system, showing where time is spent and where problems occur.
Alerting Basics
Good alerts notify you of real problems you can fix. Bad alerts get ignored and let real issues slip through.
Using AI to Interpret Logs
AI can analyze log patterns, explain cryptic errors, and help identify root causes faster than manual investigation.