Product Description
by Asya Kamsky (Author), Ger Hartnett (Author), Alex Bevilacqua (Author)
Practical strategies to help you design, optimize, and operate MongoDB deployments for performance, resilience, and growth
Key Features:
- Identify and fix performance bottlenecks with practical diagnostic and optimization strategies
- Optimize schema design, indexing, storage, and system resources for real-world workloads
- Scale confidently with in-depth coverage of replication, sharding, and cluster management techniques
- Purchase of the print or Kindle book includes a free PDF eBook
Book Description:
With data as the new competitive edge, performance has become the need of the hour. As applications handle exponentially growing data and user demand for speed and reliability rises, three industry experts distill their decades of experience to offer you guidance on designing, building, and operating databases that deliver fast, scalable, and resilient experiences.
MongoDB's document model and distributed architecture provide powerful tools for modern applications, but unlocking their full potential requires a deep understanding of architecture, operational patterns, and tuning best practices. This MongoDB book takes a hands-on approach to diagnosing common performance issues and applying proven optimization strategies from schema design and indexing to storage engine tuning and resource management.
Whether you're optimizing a single replica set or scaling a sharded cluster, this book provides the tools to maximize deployment performance. Its modular chapters let you explore query optimization, connection management, and monitoring or follow a complete learning path to build a rock-solid performance foundation. With real-world case studies, code examples, and proven best practices, you'll be ready to troubleshoot bottlenecks, scale efficiently, and keep MongoDB running at peak performance in even the most demanding production environments.
What You Will Learn:
- Diagnose and resolve common performance bottlenecks in deployments
- Design schemas and indexes that maximize throughput and efficiency
- Tune the WiredTiger storage engine and manage system resources for peak performance
- Leverage sharding and replication to scale and ensure uptime
- Monitor, debug, and maintain deployments proactively to prevent issues
- Improve application responsiveness through client driver configuration
Who this book is for:
This book is for developers, database administrators, system architects, and DevOps engineers focused on performance optimization of MongoDB. Whether you're building high-throughput applications, managing deployments in production, or scaling distributed systems, you'll gain actionable insights. Basic knowledge of MongoDB is assumed, with chapters designed progressively to support learners at all levels.
Table of Contents
- Systems and MongoDB Architecture
- Schema Design for Performance
- Indexes
- Aggregations
- Replication
- Sharding
- Storage Engines
- Change Streams
- Transactions
- Client Libraries
- Managing Connections and Network Performance
- Advanced Query and Indexing Concepts
- Operating Systems and System Resources
- Monitoring and Observability
- Debugging Performance Issues
