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"Tempo in Practice: Building and Operating Distributed Tracing Systems" is a practical, end-to-end guide for engineers, architects, and SREs who want to design, deploy, and operate modern distributed tracing at scale. It begins with the fundamentals of observability in distributed systems, clearly explaining the roles of tracing, logging, and metrics, and building a strong conceptual foundation around trace context propagation, sampling, correlation, and the trace data lifecycle. Readers will also gain a solid understanding of industry standards such as OpenTelemetry, along with the instrumentation patterns needed to collect useful trace data across services, frameworks, and environments.
The book then turns to Tempo itself, exploring its architecture, core design choices, and the scaling strategies that make it an effective open-source tracing backend. It provides hands-on guidance for deploying Tempo securely and reliably on Kubernetes, integrating it into real-world platform architectures, and tuning it for performance, resilience, and cost efficiency. Practical chapters cover ingestion, enrichment, querying, and troubleshooting, while also showing how to connect traces with logs and metrics to support faster incident response and deeper system insight.
Later chapters address advanced operational scenarios and emerging use cases, including hybrid cloud and edge deployments, serverless environments, and evolving approaches to privacy-aware and low-overhead tracing. The book also places Tempo in the broader observability ecosystem, examining automation, open standards, and the growing role of analytics and machine learning in trace-driven operations. Whether you are introducing tracing to a new platform or maturing an existing observability stack, this book equips you with the practical knowledge to build and operate distributed tracing systems with confidence.
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