In today's dynamic world of microservices, service meshes, and highly distributed architectures, the need for deep system visibility has never been more critical. "OpenTracing in Distributed Systems" offers a comprehensive exploration of tracing as an essential pillar of observability, illuminating the challenges posed by distributed failures, architectural complexity, and the inherent limitations of traditional monitoring approaches. Through a thoughtful survey of current tracing tools and use cases, readers are introduced to the indispensable role of tracing in diagnosing issues, understanding dependencies, and uncovering the subtle interactions that underpin modern software systems.
This book delivers a thorough grounding in OpenTracing fundamentals-spans, traces, context propagation, and semantic conventions-while addressing both manual and automatic instrumentation strategies across numerous programming languages and platforms. Practical guidance spans the full lifecycle of distributed trace data: from collection, processing, and storage architecture to advanced visualization, real-time analysis, and integration with key ecosystem components like orchestration frameworks, serverless platforms, and security incident response tools. Special attention is paid to performance optimization, privacy and compliance, system scalability, and security best practices, ensuring that tracing delivers actionable insights without compromising operational standards.
Bringing theory into practice, the book presents real-world case studies and lessons learned from large-scale deployments, regulated industries, and legacy system integrations, offering readers a wealth of operational wisdom. The final chapters chart the path toward the future of distributed tracing-covering the transition to OpenTelemetry, trends in open observability standards, and the rise of AI-assisted operations. "OpenTracing in Distributed Systems" stands as an authoritative resource for engineers, architects, and technology leaders seeking to build resilient, transparent, and future-proof distributed systems.
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