دانلود کتاب عملکرد بالا با MongoDB -بهترین شیوه‌ها برای تنظیم عملکرد، مقیاس‌بندی و معماری

This book delves into both fundamental concepts and advanced optimization techniques, providing you with the knowledge and practical tools to design, build, and operate high-performance MongoDB deployments at any scale. Whether you’re troubleshooting a slow query, designing schemas for a new application, or scaling a large cluster to handle growing workloads, this book serves as your trusted resource. The goal of this book is to demystify MongoDB performance optimization and equip you with strategies that work in real-world environments. The chapters are designed to be modular, allowing you to focus on specific areas of interest, whether it’s fine-tuning indexes, resolving slow queries, or configuring system resources. However, those new to performance tuning may benefit from reading linearly to build a solid conceptual foundation. While some topics naturally build on earlier chapters, most sections are designed to be understandable on their own. This makes the book flexible as both a continuous read and a reference guide for solving specific performance issues as they arise. Throughout the book, you’ll find practical examples, diagnostic techniques, and code snippets that you can adapt to your environment for hands-on learning. This book is written for developers, system architects, DevOps engineers, and database administrators who are serious about MongoDB performance optimization. Whether you’re building data-intensive applications, responsible for scaling and managing MongoDB in production, designing distributed systems for future growth, or integrating MongoDB into CI/ CD pipelines, you’ll find practical guidance tailored to your needs. An understanding of MongoDB basics is assumed, and while experience with schema design or database operations is helpful, each chapter builds progressively to support learners at all levels. What this book covers: Chapter 1, Systems and MongoDB Architecture, introduces core systems thinking concepts and shows how they apply to MongoDB’s architecture, performance tuning, and identifying bottlenecks. Chapter 2, Schema Design for Performance, covers how document modeling choices directly affect read and write efficiency, one of the most critical aspects of MongoDB performance. Chapter 3, Indexes, dives deep into indexing strategies, the primary tool for optimizing query performance. Chapter 4, Aggregations, shows you how to use the aggregation framework to perform complex data analysis efficiently. Chapter 5, Replication, discusses MongoDB’s replication mechanism and how to leverage it effectively for high availability. Chapter 6, Sharding, explains horizontal scaling techniques to distribute data and workloads across multiple servers. Chapter 7, Storage Engines, focuses on the WiredTiger, MongoDB storage engine and explains its configuration options and performance characteristics. Chapter 8, Change Streams, shows how to build reactive systems with real-time data change notifications. Chapter 9, Transactions, covers multi-document ACID transactions, their use cases, and their performance implications. Chapter 10, Client Libraries, examines how to configure and use MongoDB drivers for optimal application performance. Chapter 11, Managing Connections and Network Performance, details connection pooling strategies and network optimization techniques. Chapter 12, Advanced Query and Indexing Concepts, explores advanced indexing topics and MongoDB Query Language (MQL) best practices. Chapter 13, Operating System and System Resources, provides guidance on configuring your operating system and hardware for MongoDB workloads. Chapter 14, Monitoring and Observability, provides a comprehensive guide to monitoring your MongoDB deployment and establishing proactive performance management. Chapter 15, Debugging Performance Issues, equips you with methodologies to identify, diagnose, and resolve performance bottlenecks in production.