PRODUCTION OBSERVABILITY ENGINEERING: A Practical Guide to OpenTelemetry, Kubernetes, SLOs, Distributed Tracing, Incident Response, Scaling, and Cost Control
Production Observability Engineering is a practical, production-focused guide for engineers who need more than dashboards and basic monitoring. It shows how to design observability systems that help teams detect problems faster, understand failures clearly, protect reliability, and control telemetry costs in real production environments.
Using the evolving Northmoon Commerce cloud-native application, the book walks through OpenTelemetry, Kubernetes, distributed tracing, SLOs, incident response, telemetry pipelines, scaling, cardinality, sampling, security, and cost control. Readers learn how metrics, logs, traces, and operational context work together to answer real engineering questions-from diagnosing latency and 5xx errors to handling overloaded Collectors, missing trace context, Kubernetes failures, and rapidly increasing observability costs.
Unlike books that focus mainly on observability theory or teach a single tool in isolation, this book connects the entire production workflow. It emphasizes architecture, troubleshooting, reliability decisions, failure scenarios, and practical implementation using technologies such as OpenTelemetry, Prometheus, Loki, Tempo, Grafana, Python, FastAPI, and Kubernetes.
Whether you are an SRE, DevOps engineer, platform engineer, cloud engineer, backend developer, or observability practitioner, Production Observability Engineering gives you a clear, practical framework for building observability that is useful, scalable, reliable, and cost-aware.
If you want to move beyond collecting telemetry and start using observability as a true production engineering capability, this book is built for you.
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