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Learn Logging and Observability in Go

Add the logs, metrics, traces, and alerts you'll wish you had when production catches fire.

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What you'll learn in this Go course

Build production-ready logging and observability skills for Go applications. You'll design structured, context-rich logs, collect and visualize metrics with Prometheus and Grafana, configure actionable alerts, and profile performance with pprof. By the end, you'll be able to instrument distributed traces with OpenTelemetry and Jaeger to debug failures and latency bottlenecks fast.

Chapter List

1
Observability
Understand observability fundamentals and the pillars of logs, metrics, and traces so you can debug Go services with confidence.
2
Logging
Implement reliable logging in Go using proper logger setup, dependency injection, buffering, and lifecycle management.
3
Structured Logging
Use Go's slog package to produce structured logs with levels, key-value fields, and output formats that scale in production.
4
Log Strategies
Apply logging best practices that reduce noise, preserve signal, and make production incidents easier to investigate.
5
Logging Errors
Capture error logs effectively with stack traces, grouped context, and rich attributes while avoiding duplicate or misleading logs.
6
Logging Context
Attach request, user, build, and instance context to logs so every event is searchable, correlated, and actionable.
7
Log Storage
Route logs to console, files, and syslog with rotation strategies that keep long-running services observable and maintainable.
8
Log Security
Protect sensitive data in logs using filtering, obfuscation, encryption, and safer error-response logging patterns.
9
Metrics
Instrument Go services with Prometheus and Grafana, collect system and app metrics, and build dashboards that reveal health trends.
10
Alerting
Design actionable alerts with sensible thresholds to catch real issues early without creating alert fatigue.
11
Profiling
Use pprof to analyze CPU, memory, and goroutine behavior in Go applications and fix performance bottlenecks.
12
Tracing
Instrument distributed tracing with OpenTelemetry and Jaeger to follow requests across services and diagnose latency issues.

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Delve deeper

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Frequently asked Questions

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