Practical Debugging at Scale: Cloud Native Debugging in Kubernetes and Production

Overhaul your debugging techniques and master the theory and tools needed to debug and troubleshoot cloud applications in production environments. This book teaches debugging skills that universities often avoid, but that typically consume as much as 60% of our time as developers. The book covers the use of debugger features such as tracepoints, object marking, watch renderers, and more. Author Shai Almog presents a scientific approach to debugging that is grounded in theory while being practical enough to help you to chase stubborn bugs through the maze of a Kubernetes deployment.
Practical Debugging at Scale assumes a polyglot environment as is common for most enterprises, but focuses on JVM environments. Most of the tooling and techniques described are applicable to Python, Node, and other platforms, as well as to Java and other JVM languages. The book specifically covers debugging in production, an often-neglected discipline but an all too painful reality. You'll learn modern techniques around observability, monitoring, logging, and full stack debugging that you can put to immediate use in troubleshooting common ailments in production environments.

You Will Learn:

• The scientific method underlying the process of debugging
• Debugger capabilities such as tracepoints and marker objects
• The correct use of less understood features such as exception breakpoints
• Techniques for tracing issues in production Kubernetes environments
• Observability and monitoring to resolve production problems
• Industry best practices for common tooling such as logging
• Profiling to understand performance and memory problems

Who This Book Is For
Developers in Java and JVM-related languages who want to improve their debugging skills and production reliability; and developers of cloud applications who are facing the pain of production bugs that are hard to replicate and fix

改進您的除錯技巧，並掌握在生產環境中除錯和疑難排解雲應用所需的理論和工具。本書教授的是大學通常回避的除錯技能，但這些技能通常佔開發人員時間的60％。本書涵蓋了使用調試器功能，如追蹤點、物件標記、監視渲染器等。作者Shai Almog提出了一種基於理論的科學方法來進行除錯，同時又實用到足以幫助您在Kubernetes部署的迷宮中追蹤頑固的錯誤。

《大規模實用除錯》假設了一個多語言環境，這在大多數企業中很常見，但專注於JVM環境。大部分描述的工具和技術適用於Python、Node和其他平台，以及Java和其他JVM語言。本書特別涵蓋了在生產環境中的除錯，這是一個常常被忽視的領域，但卻是一個非常痛苦的現實。您將學習到關於可觀察性、監控、日誌記錄和全棧除錯的現代技術，這些技術可以立即應用於疑難排解生產環境中的常見問題。

您將學到：
- 調試過程中的科學方法
- 追蹤點和標記物件等調試器功能
- 正確使用較少被理解的功能，如例外斷點
- 在生產Kubernetes環境中追蹤問題的技巧
- 通過可觀察性和監控解決生產問題
- 常見工具（如日誌記錄）的行業最佳實踐
- 進行性能和內存問題分析的分析工具

本書適合對象：
- Java和JVM相關語言的開發人員，希望提高其調試技能和生產可靠性
- 面臨難以複製和修復的生產錯誤的雲應用開發人員

​Shai Almog is an entrepreneur, open source hacker, speaker, author, blogger, Java rockstar, and more. He is a former Sun (later Oracle) developer with more than 30 years of experience. Shai has built JVMs, development tools, mobile phone environments, banking systems, startup/enterprise backends, user interfaces, development frameworks, and much more. He speaks at conferences all over the world and has shared the stage with luminaries such as James Gosling (father of Java). Shai is an award-winning, highly rated speaker with deep technical experience to share and he has a knack for engaging his audience.

Shai Almog是一位企業家、開源黑客、演講者、作家、部落客、Java巨星等等。他曾是Sun（後來是Oracle）的開發人員，擁有超過30年的經驗。Shai曾經建立過JVM、開發工具、手機環境、銀行系統、初創/企業後端、使用者介面、開發框架等等。他在世界各地的會議上演講，並與James Gosling（Java之父）等知名人士同台演出。Shai是一位屢獲殊榮、評價極高的演講者，擁有豐富的技術經驗，並且擅長吸引觀眾的注意力。