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Beskrivning
Design, optimize, and operate high-performance MongoDB deployments, now with a bonus chapter exploring evolving practices and capabilitiesKey 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 MongoDB performance enhancementsPurchase 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 while real-world case studies and code examples reinforce proven practices. A new bonus chapter, Evolving High-Performance Practices, highlights MongoDB's advances in query execution, Intelligent Workload Management, OpenTelemetry, diagnostics, and driver behavior.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.
Mer om författaren
Asya Kamsky is a Principal KnowItAll at MongoDB, where she has worked since 2012. Before discovering MongoDB, she spent nearly two decades coaxing relational databases into doing what they were never designed to do at a series of startups, most of which no one remembers. Asya has an extensive background in software development, databases, and telling people what they're doing wrong. Ger Hartnett is a Lead Engineer on MongoDB's product performance team, where he loves working on fascinating optimization and scaling challenges. Before MongoDB, he founded a startup that built a project communication platform (that had scaling issues). Prior to that, he architected and tuned embedded software at Intel, where he co-authored a book. Even before that, he developed systems at companies including Tellabs, Digital, and Motorola. Alex Bevilacqua is the Lead Product Manager at MongoDB for Developer Experience. Prior to joining MongoDB in 2018, he worked as a software engineer and systems architect, implementing solutions in a number of languages, technologies, and frameworks. Aside from his passion for programming that consumes more than just his working hours, Alex can typically be found at an arena with one of his kids, both of whom play rep hockey.
