商品描述
Azure DocumentDB in Practice is your complete guide to understanding and leveraging Microsoft's unified document database platform, combining the power of Cosmos DB vCore with DocumentDB OSS capabilities. This book walks you through the full architecture of Azure DocumentDB, from its global foundations and MongoDB API compatibility to the vCore execution model that simplifies scaling, performance planning, and cost predictability. Moving beyond fundamentals, you'll dive deep into performance engineering, data modeling, application development, and workload optimization tailored to Azure DocumentDB's architecture. You will then learn to benchmark and test workloads, build resilient applications using MongoDB drivers, and implement scalable, high-availability designs. Dedicated chapters on migration strategies help you transition workloads from self-hosted MongoDB, Cosmos DB RU-based models, or other databases with minimal friction. Real-world patterns, industry use cases, and reference architectures give you the blueprints needed to solve complex problems at scale. You'll learn how compute, storage, and networking layers work together, how to secure and govern your data with enterprise-grade identity and compliance features, and how to provision, size, and manage clusters for production workloads. With clear explanations, hands-on guidance, and practical best practices, this book equips you to confidently operate Azure DocumentDB in cloud-native, highly distributed environments. Whether you're a developer, architect, or database engineer, Azure DocumentDB in Practice provides the technical depth and practical guidance required to design, build, and operate next-generation document database solutions and understand where the platform is headed next. What You Will Learn:
- Designing and deploying production grade clusters with the right sizing, networking, and security
- How to model data effectively using optimal schema, sharding, and indexing strategies
- Diagnose and optimize performance using profiler, query plans, metrics, and best practices
- Build resilient applications using transactions, connection pooling, retry logic and Change streams
- How to run and operate clusters with backup/restore, monitoring, parameters
Who This Book Is For:
This book is meant for developers, architects, and database engineers.
商品描述(中文翻譯)
《Azure DocumentDB 實戰》是一本完整指南，協助您瞭解並充分運用 Microsoft 的統一文件資料庫平台，結合 Cosmos DB vCore 的強大功能與 DocumentDB OSS 的能力。本書將帶您完整瞭解 Azure DocumentDB 的架構，從其全球化基礎、MongoDB API 相容性，到可簡化擴充、效能規劃與成本預測的 vCore 執行模型。
在掌握基礎概念後，您將深入探索針對 Azure DocumentDB 架構所設計的效能工程、資料建模、應用程式開發與工作負載最佳化。接著，您將學習如何對工作負載進行基準測試與測試、使用 MongoDB drivers 建立具韌性的應用程式，以及實作可擴充、高可用性的設計。專門介紹遷移策略的章節，將協助您以最低的阻力，將工作負載從自行託管的 MongoDB、Cosmos DB RU-based 模型或其他資料庫遷移過來。
真實世界的模式、產業使用案例與參考架構，將提供您解決大規模複雜問題所需的藍圖。您將瞭解運算、儲存與網路層如何彼此協作；如何運用企業級身分識別與合規功能來保護及治理資料；以及如何為正式環境工作負載佈建、評估規模並管理叢集。透過清楚的說明、實作導向的指引與實用的最佳實務，本書將協助您在雲端原生、高度分散式環境中，充滿信心地操作 Azure DocumentDB。
無論您是開發人員、架構師或資料庫工程師，《Azure DocumentDB 實戰》都能提供設計、建置及操作新一代文件資料庫解決方案所需的技術深度與實務指引，並協助您瞭解此平台未來的發展方向。
您將學到：
• 如何設計及部署正式環境等級的叢集，並採用適當的規模、網路與安全性設定
• 如何運用最佳化的結構描述、分片與索引策略，有效建立資料模型
• 如何使用 profiler、查詢計畫、指標與最佳實務診斷及最佳化效能
• 如何運用交易、連線池、重試邏輯與 Change Streams，建立具韌性的應用程式
• 如何透過備份／還原、監控與參數設定來執行及操作叢集
本書適用對象：
本書適合開發人員、架構師及資料庫工程師閱讀。
作者簡介
Pankaj Khattar is a Principal Engineering Manager at Microsoft and a seasoned leader in the design and evolution of large-scale distributed data systems. With over two decades of experience, he has been at the forefront of building and optimizing cloud-native database platforms that power mission-critical applications at global scale. His expertise spans database internals, distributed systems architecture, and performance engineering, with deep specialization in Azure DocumentDB, MongoDB, PostgreSQL and Big Data technologies. At Microsoft, Pankaj has led high-impact engineering initiatives focused on pushing the boundaries of performance, scalability, and reliability in modern data platforms. He has designed and optimized distributed architectures for high-throughput systems, pioneered advanced workload modeling and benchmarking frameworks, and resolved complex production challenges in multi-node environments. His work has significantly contributed to improving query performance, concurrency handling, and resilience for enterprise-scale deployments. Widely recognized for his ability to bridge deep system internals with real-world operational demands, Pankaj has worked closely with enterprise customers to diagnose and resolve critical issues, ranging from latency anomalies and contention hotspots to failover and data consistency challenges under stringent SLAs. His contributions have helped shape best practices for operating databases reliably at scale. Pankaj is also an accomplished author and previously wrote Data Lake Analytics on Microsoft Azure, where he provided practical insights into building scalable data processing solutions on the cloud. He continues to contribute to the broader engineering community through mentorship, knowledge sharing, and thought leadership. This book represents a culmination of his experience, offering not just technical depth, but a systems-level perspective on building, tuning, and troubleshooting distributed databases in real-world production environments.
作者簡介(中文翻譯)
Pankaj Khattar 是 Microsoft 的首席工程經理（Principal Engineering Manager），也是大型分散式資料系統設計與演進領域的資深領導者。憑藉超過二十年的經驗，他一直走在建置與最佳化雲端原生資料庫平台的前線，這些平台支援全球規模的關鍵任務應用程式。他的專長涵蓋資料庫內部機制、分散式系統架構與效能工程，並深入專精於 Azure DocumentDB、MongoDB、PostgreSQL 及 Big Data 技術。
在 Microsoft 任職期間，Pankaj 領導多項高影響力的工程計畫，致力於突破現代資料平台在效能、可擴充性與可靠性方面的極限。他為高吞吐量系統設計並最佳化分散式架構，率先開發進階工作負載建模與基準測試框架，並解決多節點環境中的複雜正式環境問題。他的工作大幅促進了企業級部署中的查詢效能、並行處理能力與韌性。
Pankaj 廣受肯定，能夠將深層的系統內部機制與實際營運需求相互連結。他曾與企業客戶密切合作，診斷並解決各種關鍵問題，範圍從延遲異常與競爭熱點，到嚴格 SLA 要求下的容錯移轉與資料一致性挑戰。他的貢獻協助建立了在大規模環境中可靠運作資料庫的最佳實務。
Pankaj 也是一位成就斐然的作者，先前曾撰寫《Data Lake Analytics on Microsoft Azure》，在書中分享於雲端建置可擴充資料處理解決方案的實務見解。他持續透過指導、知識分享與技術思想領導，為更廣泛的工程社群貢獻心力。
本書集結了他的豐富經驗，不僅具備深厚的技術內容，也從系統層級的角度，探討如何在真實的正式環境中建置、調校與疑難排解分散式資料庫。
