High Performance with MongoDB: Best practices for performance tuning, scaling, and architecture

Practical strategies to help you design, optimize, and operate MongoDB deployments for performance, resilience, and growthKey FeaturesIdentify and fix performance bottlenecks with practical diagnostic and optimization strategiesOptimize schema design, indexing, storage, and system resources for real-world workloadsScale confidently with in-depth coverage of replication, sharding, and cluster management techniquesPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionWith 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 learnDiagnose and resolve common performance bottlenecks in deploymentsDesign schemas and indexes that maximize throughput and efficiencyTune the WiredTiger storage engine and manage system resources for peak performanceLeverage sharding and replication to scale and ensure uptimeMonitor, debug, and maintain deployments proactively to prevent issuesImprove application responsiveness through client driver configurationWho this book is forThis 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 ContentsSystems and MongoDB ArchitectureSchema Design for PerformanceIndexes AggregationsReplicationSharding Storage Engines Change StreamsTransactionsClient LibrariesManaging Connections and Network Performance Advanced Query and Indexing ConceptsOperating Systems and System ResourcesMonitoring and ObservabilityDebugging Performance Issues Read more