Azure DocumentDB in Practice : Understanding Designing, Deployment, Optimization & Enterprise Scaling （First Edition）

Khattar, Pankaj

Springer, Berlin; Apress（2026/08発売）

• 製本 Paperback:紙装版/ペーパーバック版
• 言語 ENG
• 商品コード 9798868827549

Full Description

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.