About the Book
The official guide to MongoDB architecture, tools, and cloud features, written by leading MongoDB subject matter experts to help you build secure, scalable, high-performance applications
Key Features
Design resilient, secure solutions with high performance and scalability
Streamline development with modern tooling, indexing, and AI-powered workflows
Deploy and optimize in the cloud using advanced MongoDB Atlas features
Purchase of the print or Kindle book includes a free PDF eBook
Book DescriptionDelivering secure, scalable, and high-performance applications is never easy, especially when systems must handle growth, protect sensitive data, and perform reliably under pressure. The Official MongoDB Guide addresses these challenges with guidance from MongoDB’s top subject matter experts, so you learn proven best practices directly from those who know the technology inside out.
This book takes you from core concepts and architecture through to advanced techniques for data modeling, indexing, and query optimization, supported by real-world patterns that improve performance and resilience. It offers practical coverage of developer tooling, IDE integrations, and AI-assisted workflows that will help you work faster and more effectively.
Security-focused chapters walk you through authentication, authorization, encryption, and compliance, while chapters dedicated to MongoDB Atlas showcase its robust security features and demonstrate how to deploy, scale, and leverage platform-native capabilities such as Atlas Search and Atlas Vector Search.
By the end of this book, you’ll be able to design, build, and manage MongoDB applications with the confidence that comes from learning directly from the experts shaping the technology.What you will learn
Build secure, scalable, and high-performance applications
Design efficient data models and indexes for real workloads
Write powerful queries to sort, filter, and project data
Protect applications with authentication and encryption
Accelerate coding with AI-powered and IDE-based tools
Launch, scale, and manage MongoDB Atlas with confidence
Unlock advanced features like Atlas Search and Atlas Vector Search
Apply proven techniques from MongoDB's own engineering leaders
Who this book is forThis book is for developers, database professionals, architects, and platform teams who want to get the most out of MongoDB. Whether you’re building web apps, APIs, mobile services, or backend systems, the concepts covered here will help you structure data, improve performance, and deliver value to your users. No prior experience with MongoDB is required, but familiarity with databases and programming will be helpful.
Table of Contents:
Table of Contents
Introduction to MongoDB
MongoDB Architecture
Developer Tools
Data Modeling and Index Optimization
Queries
Database Operations
Security
MongoDB Atlas
Atlas Search
About the Author :
Rachelle Palmer is the Product Leader for Developer Database Experience and Developer Education at MongoDB, overseeing the driver client libraries, documentation, framework integrations, and MongoDB University. She has built sample applications for MongoDB in Java, PHP, Rust, Python, Node.js, and Ruby. Rachelle joined MongoDB in 2013 and was previously the Director of the Technical Services Engineering team, creating and managing the team that provided support and CloudOps to MongoDB Atlas. Jeffery Allen is a Technical Writer at MongoDB, based in the New York City area. He focuses on server documentation and works closely with Product and Engineering teams to develop examples that reflect real-world use cases, especially pertaining to data modeling and the MongoDB query language. Before joining MongoDB, Jeff worked as a full-stack web developer. Jeff also enjoys playing guitar and piano and produces electronic music in his spare time. Parker Faucher is a self-taught Software Engineer with over six years of experience in technical education. He has authored more than 100 educational videos for MongoDB, establishing himself as a knowledgeable resource in database technologies. Currently, Parker focuses on Artificial Intelligence and Search technologies, exploring innovative solutions in these rapidly evolving fields. When not advancing his technical expertise, Parker enjoys spending quality time with his family and maintains an avid interest in collecting comic books. Alison Huh is a New York City-based Technical Writer on MongoDB's server documentation team. In addition to the core database, she focuses on documenting MongoDB user tools such as Compass, Mongosync, and IDE extensions. Outside of MongoDB, Alison is currently pursuing her M.A. in Instructional Technology and Media at Teachers College, Columbia University, exploring the intersections of design, digital media, and learning. In her free time, Alison loves going on runs, crafting small trinkets, and experiencing live music. Lander Kerbey is a Technical Writer at MongoDB, specializing in Atlas Stream Processing. Prior to MongoDB, he worked at InterSystems, documenting various parts of the HealthShare suite, along with their various data analytics tools. His 11 years of experience as an educator informs his approach to documentation, as he strives to create “Aha!” moments for users. Maya Raman is a Technical Writer and sometimes-software engineer at MongoDB. She is passionate about the intersections between the environment, art and literature, technology, and people. She is based in New York City and likes to spend her time hanging out in Prospect Park, even in winter. Lauren Tran is a Technical Writer at MongoDB with a background in Communications and Computer Science. She is on the Server Documentation team and mainly specializes in Information Architecture, Time Series data, and Search. Lauren is passionate about creating accessible and inclusive documentation that caters to diverse audiences. She is based in Chicago following four years in New York City and in her free time, enjoys reading on the beach at Lake Michigan and listening to Taylor Swift music.
