Practical Opentelemetry: Adopting Open Observability Standards Across Your Organization

Learn the value that OpenTelemetry can bring to organizations that aim to implement observability best practices, and gain a deeper understanding of how different building blocks interact with each other to bring out-of-the-box, vendor-neutral instrumentation to your stack. With examples in Java, this book shows how to use OpenTelemetry APIs and configure plugins and SDKs to instrument services and produce valuable telemetry data. You'll learn how to maximize adoption of OpenTelemetry and encourage the change needed in debugging workflows to reduce cognitive load for engineers troubleshooting production workloads.
Adopting observability best practices across an organization is challenging. This book begins with a discussion of how operational monitoring processes widely followed for decades fall short at providing the insights needed for debugging cloud-native, distributed systems in production. The book goes on to show how the Cloud Native Computing Foundation's OpenTelemetry project helps you standardize instrumentation and transport of telemetry signals, providing a common language for all observability tooling.
You Will Learn

• Why observability is a necessity in modern distributed systems
• The value of OpenTelemetry for engineers and organizations
• OpenTelemetry component specification and general design
• Tracing, metrics, and logs APIs and SDKs, with examples in Java
• OpenTelemetry Collectors and recommended transport and processing pipelines
• How to adopt observability standards across an organization

Who This Book Is For
Software engineers familiar with cloud-native technologies and operational monitoring who want to instrument and export telemetry data from their services; observability leads who want to roll out OpenTelemetry standards and best practices across their organizations; and Java developers who want a book with OpenTelemetry examples in that language

本書介紹了OpenTelemetry對於希望實施可觀察性最佳實踐的組織所帶來的價值，並深入了解不同的構建模塊如何相互交互，以提供開箱即用、供應商中立的儀器化解決方案。本書以Java為例，展示了如何使用OpenTelemetry API並配置插件和SDK來儀器化服務並生成有價值的遙測數據。您將學習如何最大程度地采用OpenTelemetry並鼓勵在調試工作流程中進行必要的變更，以減少工程師在處理生產工作負載時的認知負荷。

在整個組織中採用可觀察性最佳實踐是具有挑戰性的。本書首先討論了在生產環境中調試雲原生分佈式系統所需的洞察力，傳統的操作監控流程在這方面存在不足。接著，本書展示了Cloud Native Computing Foundation的OpenTelemetry項目如何幫助您標準化儀器化和遙測信號的傳輸，為所有可觀察性工具提供了一種共同語言。

您將學到：
- 現代分佈式系統中可觀察性的必要性
- OpenTelemetry對工程師和組織的價值
- OpenTelemetry組件規範和一般設計
- 追蹤、指標和日誌的API和SDK，以Java為例
- OpenTelemetry收集器和推薦的傳輸和處理流程
- 如何在組織中採用可觀察性標準

本書適合對雲原生技術和操作監控熟悉的軟體工程師，他們希望從其服務中儀器化並導出遙測數據；對於希望在組織中推出OpenTelemetry標準和最佳實踐的可觀察性負責人；以及希望找到以Java為例的OpenTelemetry示例的Java開發人員。

​Daniel Gomez Blanco is a Principal Engineer at Skyscanner, leading their observability transformation across hundreds of services to ensure that travelers get a reliable and performant experience when booking their next holiday. He is an advocate of open standards and CNCF projects such as OpenTelemetry to back the instrumentation and collection of operational data. Daniel has experience working in organizations of all sizes, from international institutions such as CERN in Geneva, to London startups such as SKIPJAQ. His main focus has always been building software and adopting solutions to minimize the cognitive load required for engineers to support and operate production services.

Daniel Gomez Blanco 是 Skyscanner 的首席工程師，負責領導數百個服務的可觀察性轉型，以確保旅客在預訂下一個假期時獲得可靠且高效的體驗。他是開放標準和 CNCF 專案（如 OpenTelemetry）的倡導者，用於支援操作數據的儀器化和收集。Daniel 在各種規模的組織中擁有豐富的工作經驗，從日內瓦的國際機構 CERN 到倫敦的初創企業 SKIPJAQ。他一直專注於構建軟體和採用解決方案，以最小化工程師在支援和操作生產服務時所需的認知負荷。