OpenTelemetry for Production: A Practical Guide to Instrumentation, Collector Pipelines, Metrics, Logs, Traces, Kubernetes, Grafana, Troubleshooting, and Cost Control

OpenTelemetry for Production is a practical guide to designing, deploying, and operating observability systems that can actually support production workloads.Rather than treating observability as simply collecting logs, metrics, and traces, this book shows you how to build a complete, reliable telemetry platform with OpenTelemetry, the OpenTelemetry Collector, Prometheus, Grafana, Tempo, Loki, Docker, and Kubernetes. You'll learn how to instrument applications, design meaningful traces and metrics, correlate logs across services, build resilient Collector pipelines, control telemetry volume and costs, and troubleshoot failures when the observability system itself comes under pressure.You'll also learn how to approach real production challenges including high cardinality metrics, sampling, backpressure, dropped telemetry, security and privacy, TLS, authentication, capacity planning, upgrades, and incident response. Practical production checkpoints, exercises, design decisions, and incident scenarios help turn concepts into operational skills.What makes this book different is its production-first approach. It doesn't stop at showing you how to make telemetry appear on a dashboard. It teaches you how to design observability around the questions engineers and operators actually need answered, build reliable telemetry pipelines, protect sensitive data, manage costs, and use telemetry to investigate real incidents.If you want to move beyond basic OpenTelemetry tutorials and learn how to build an observability platform that is useful, reliable, secure, maintainable, and ready for production, this book gives you a practical path from initial instrumentation to a complete production architecture.