- Preface
- 1 What Is Observability
- 2 The Three Pillars
- 3 Introduction to OpenTelemetry
- 4 Auto-Instrumentation
- 5 Manual Instrumentation
- 6 Distributed Traces
- 7 Custom Metrics
- 8 Structured Logs
- 9 Exporters and Backends
- 10 Alerts and SLOs
- 11 Observability in Microservices
- 12 Performance and Optimization
- 13 Observability in Production
- 14 Final Project — Observable PetShop in Production
Practical Observability with OpenTelemetry
From logs to distributed traces in production systems
This book is 70% completeLast updated on 2026-05-13
Build a fully observable system from scratch with OpenTelemetry. From auto-instrumentation to distributed traces, custom metrics, SLOs, and production deployment — 14 chapters, one real project, complete TypeScript code.
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About
About the Book
▎ Monitoring tells you something is broken. Observability tells you why. In a world of microservices, distributed systems, and complex deployments, the difference between the two is the difference between hours of debugging and minutes.
▎ Practical Observability with OpenTelemetry is a hands-on guide that takes you from console.log to full production observability. Across 14 chapters, you build the PetShop API — a Node.js multi-service system that starts as a monolith and
evolves into a fully observable microservices architecture with distributed traces, custom metrics, structured logs, and real-time alerting.
▎ You learn OpenTelemetry from the ground up: auto-instrumentation that gives you visibility in minutes, manual instrumentation for business-critical spans, distributed traces across multiple services, custom metrics with Prometheus,
structured logs correlated with traces, and a complete observability stack with Jaeger, Grafana, and Alertmanager.
▎ The book covers production-ready patterns: sampling strategies to control costs, SLOs and error budgets for reliability, security and PII sanitization, multi-environment configuration, and incident response workflows powered by real
telemetry data.
▎ Who this book is for:
▎ - Backend developers who want to understand what their systems are doing in production
▎ - SREs and DevOps engineers implementing observability pipelines
▎ - Engineering managers who need to set SLOs and build on-call practices
Author
About the Author
CAIO INCAU
aio Incau é Engineering Manager com experiência liderando times de engenharia de software em larga escala. No dia a dia, combina gestão de pessoas com profundidade técnica para entregar produtos que impactam milhões de usuários. Começou a usar Claude Code por curiosidade, virou adepto por produtividade, e escreveu este livro para que outros desenvolvedores não precisem descobrir tudo sozinhos.
Contents
Table of Contents
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