Gain cutting-edge skills in building a full-stack web application with AI assistance. This book will guide you in creating your own travel application using React and Node.js, with MongoDB as the database, while emphasizing the use of Gen AI platforms like Perplexity.ai and Claude for quicker development and more accurate debugging. The book’s step-by-step approach will help you bridge the gap between traditional web development methods and modern AI-assisted techniques, making it both accessible and insightful. It provides valuable lessons on professional web application development practices. By focusing on a practical example, the book offers hands-on experience that mirrors real-world scenarios, equipping you with relevant and in-demand skills that can be easily transferred to other projects. The book emphasizes the principles of responsive design, teaching you how to create web applications that adapt seamlessly to different screen sizes and devices. This includes using fluid grids, media queries, and optimizing layouts for usability across various platforms. You will also learn how to design, manage, and query databases using MongoDB, ensuring you can effectively handle data storage and retrieval in your applications. Most significantly, the book will introduce you to generative AI tools and prompt engineering techniques that can accelerate coding and debugging processes. This modern approach will streamline development workflows and enhance productivity. By the end of this book, you will not only have learned how to create a complete web application from backend to frontend, along with database management, but you will also have gained invaluable associated skills such as using IDEs, version control, and deploying applications efficiently and effectively with AI. What You Will Learn How to build a full-stack web application from scratch How to use generative AI tools to enhance coding efficiency and streamline the development process How to create user-friendly interfaces that enhance the overall experience of your web applications How to design, manage, and query databases using MongoDB Who This Book Is For Frontend developers, backend developers, and full-stack developers.

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.

Get started fast with MongoDB architecture, core operations, and AI-powered tools for building intelligent applications Free with your book: DRM-free PDF version + access to Packt's next-gen Reader Key Features Quickly grasp the MongoDB architecture and distributed design principles Learn practical data modeling, CRUD operations, and aggregation techniques Explore AI-enabled tools for building intelligent applications with MongoDB Purchase of the print or Kindle book includes a free PDF eBook Book Description Modern applications demand flexibility, speed, and intelligence, and MongoDB delivers all three. This mini guide wastes no time, offering a concise, practical introduction to handling data flexibly and efficiently with MongoDB. MongoDB Essentials helps developers, architects, database administrators, and decision makers get started quickly and confidently. The book introduces MongoDB’s core principles, from the document data model to its distributed architecture, including replica sets and sharding. It then helps you build hands-on skills such as installing MongoDB, designing effective data schemas, performing CRUD operations, and working with the aggregation pipeline. You’ll discover performance tips along the way and learn how AI-enhanced tools like Atlas Search and Atlas Vector Search power intelligent application development. With clear explanations and a practical approach, this book gives you the foundation and skills you need to start working with MongoDB right away. Email sign-up and proof of purchase required What you will learn Understand MongoDB's document model and architecture Set up local MongoDB deployments quickly Design schemas tailored to application access patterns Perform CRUD and aggregation operations efficiently Use tools to optimize query performance and scalability Explore AI-powered features such as Atlas Search and Atlas Vector Search Who this book is for This book is for anyone looking to explore MongoDB, including students, developers, system architects, managers, database administrators, and decision makers who want to familiarize themselves with what a modern database can offer. Whether you're building your first application or exploring what MongoDB can do for you, this book is the idea starting point for your MongoDB journey.

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 Description Delivering 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 for This 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.

Deliver flexible, scalable, and high-performance data storage that's perfect for AI and other modern applications with MongoDB 8.0 and MongoDB Atlas multi-cloud data platform. In MongoDB 8.0 in Action, Third Edition you'll find comprehensive coverage of the latest version of MongoDB 8.0 and the MongoDB Atlas multi-cloud data platform. Learn to utilize MongoDB’s flexible schema design for data modeling, scale applications effectively using advanced sharding features, integrate full-text and vector-based semantic search, and more. This totally revised new edition delivers engaging hands-on tutorials and examples that put MongoDB into action! In MongoDB 8.0 in Action, Third Edition you'll: Master new features in MongoDB 8.0 Create your first, free Atlas cluster using the Atlas CLI Design scalable NoSQL databases with effective data modeling techniques Master Vector Search for building GenAI-driven applications Utilize advanced search capabilities in MongoDB Atlas, including full-text search Build Event-Driven Applications with Atlas Stream Processing Deploy and manage MongoDB Atlas clusters both locally and in the cloud using the Atlas CLI Leverage the Atlas SQL interface for familiar SQL querying Use MongoDB Atlas Online Archive for efficient data management Establish robust security practices including encryption Master backup and restore strategies Optimize database performance and identify slow queries MongoDB 8.0 in Action, Third Edition offers a clear, easy-to-understand introduction to everything in MongoDB 8.0 and MongoDB Atlas—including new advanced features such as embedded config servers in sharded clusters, or moving an unsharded collection to a different shard. The book also covers Atlas stream processing, full text search, and vector search capabilities for generative AI applications. Each chapter is packed with tips, tricks, and practical examples you can quickly apply to your projects, whether you're brand new to MongoDB or looking to get up to speed with the latest version. About the Technology MongoDB is the database of choice for storing structured, semi-structured, and unstructured data like business documents and other text and image files. MongoDB 8.0 introduces a range of exciting new features—from sharding improvements that simplify the management of distributed data, to performance enhancements that stay resilient under heavy workloads. Plus, MongoDB Atlas brings vector search and full-text search features that support AI-powered applications. About the Book MongoDB 8.0 in Action, Third Edition you’ll learn how to take advantage of all the new features of MongoDB 8.0, including the powerful MongoDB Atlas multi-cloud data platform. You’ll start with the basics of setting up and managing a document database. Then, you’ll learn how to use MongoDB for AI-driven applications, implement advanced stream processing, and optimize performance with improved indexing and query handling. Hands-on projects like creating a RAG-based chatbot and building an aggregation pipeline mean you’ll really put MongoDB into action! What's Inside The new features in MongoDB 8.0 Get familiar with MongoDB’s Atlas cloud platform Utilizing sharding enhancements Using vector-based search technologies Full-text search capabilities for efficient text indexing and querying About the Reader For developers and DBAs of all levels. No prior experience with MongoDB required. About the Author Arek Borucki is a MongoDB Champion, certified MongoDB and MongoDB Atlas administrator with expertise in distributed systems, NoSQL databases, and Kubernetes. Quotes An excellent resource with real-world examples and best practices to design, optimize, and scale modern applications. - Advait Patel, Broadcom Essential MongoDB resource. Covers new features such as full-text search, vector search, AI, and RAG applications. - Juan Roy, Credit Suisse Reflects author’s practical experience and clear teaching style. It’s packed with real-world examples and up-to-date insights. - Rajesh Nair, MongoDB Champion & community leader This book will definitely make you a MongoDB star! - Vinicios Wentz, JP Morgan & Chase Co.

This book is a tutorial on MongoDB customized for developers working in Microsoft .NET 6, .NET 7, and beyond. It explains the differences between relational database systems and the document model supported by MongoDB, and shows how to build .NET applications that run against a MongoDB database, especially one in the cloud. Author Luce Carter kicks things off by teaching you how to determine when to use a document database versus a relational engine. After that, she walks you through building a Microsoft .NET project combining the MongoDB Atlas cloud database as a service solution with a .NET. application. In the process, you will learn how to create, read, update, and delete data in MongoDB from any .NET project. You will come away from this book with a solid understanding of MongoDB’s Developer Data Platform and how to use it from your .NET applications. You’ll be able to connect to MongoDB in the cloud and take advantage of the flexibility and scalability that MongoDB’s document storage model provides, and you’ll understand how to craft your applications to run using document storage and the MongoDB database engine. What You Will Learn Know when to use the MongoDB document model Build .NET applications that connect to MongoDB for data storage Create MongoDB clusters on the MongoDB Atlas cloud platform Store data in MongoDB Atlas Create, Read, Update, and Delete (CRUD) data from .NET Web API projects Test your CRUD endpoints using RESTful operations Validate schemas to help protect against breaking changes Who This Book Is For .NET developers who are looking for an alternative to relational databases, and those looking for a flexible and scalable document storage solution for use from .NET applications. Additionally, anyone wanting to learn MongoDB in the context of .NET and C# will benefit from this book.

Full Stack FastAPI, React, and MongoDB guides you step-by-step through creating web applications using the FARM stack. This hands-on resource teaches you how to integrate FastAPI, a modern Python framework, React for front-end development, and MongoDB for data storage to build and deploy powerful, scalable web applications. What this Book will help me do Master the essentials of MongoDB, including creating and managing document-based databases. Gain proficiency in building APIs using FastAPI and Python for robust backend systems. Develop dynamic frontends using React, integrating seamlessly with a FastAPI backend. Securely authenticate and authorize users using JSON Web Tokens in your applications. Explore advanced features like integrating AI models and building with Next.js for production-ready development. Author(s) Marko Aleksendrić, Shrey Batra, Rachelle Palmer, and Shubham Ranjan combine their expertise in web development and software engineering in this book. Together, they bring years of professional experience and a passion for teaching developers to create modern web applications effectively using cutting-edge tools. Who is it for? Intermediate web developers who possess foundational JavaScript and Python skills are the ideal audience for this book. If you want to advance your skills by mastering modern web application development with the FARM stack, this book will guide you comprehensively. With practical, real-world examples, it is designed for developers aiming to build production-grade applications.

Whether you’ve been in the developer kitchen for decades or are just taking the plunge to do it yourself, The Complete Developer will show you how to build and implement every component of a modern stack—from scratch. You’ll go from a React-driven frontend to a fully fleshed-out backend with Mongoose, MongoDB, and a complete set of REST and GraphQL APIs, and back again through the whole Next.js stack. The book’s easy-to-follow, step-by-step recipes will teach you how to build a web server with Express.js, create custom API routes, deploy applications via self-contained microservices, and add a reactive, component-based UI. You’ll leverage command line tools and full-stack frameworks to build an application whose no-effort user management rides on GitHub logins. You’ll also learn how to: Work with modern JavaScript syntax, TypeScript, and the Next.js framework Simplify UI development with the React library Extend your application with REST and GraphQL APIs Manage your data with the MongoDB NoSQL database Use OAuth to simplify user management, authentication, and authorization Automate testing with Jest, test-driven development, stubs, mocks, and fakes Whether you’re an experienced software engineer or new to DIY web development, The Complete Developer will teach you to succeed with the modern full stack. After all, control matters. Covers: Docker, Express.js, JavaScript, Jest, MongoDB, Mongoose, Next.js, Node.js, OAuth, React, REST and GraphQL APIs, and TypeScript

Dive into the capabilities of the MongoDB aggregation framework with this official guide, "Practical MongoDB Aggregations". You'll learn how to design and optimize efficient aggregation pipelines for MongoDB 7.0, empowering you to handle complex data analysis and processing tasks directly within the database. What this Book will help me do Gain expertise in crafting advanced MongoDB aggregation pipelines for custom data workflows. Learn to perform time series analysis for financial datasets and IoT applications. Discover optimization techniques for working with sharded clusters and large datasets. Master array manipulation and other specific operations essential for MongoDB data models. Build pipelines that ensure data security and distribution while maintaining performance. Author(s) Paul Done, a recognized expert in MongoDB, brings his extensive experience in database technologies to this book. With years of practice in helping companies leverage MongoDB for big data solutions, Paul shares his deep knowledge in an accessible and logical manner. His approach to writing is hands-on, focusing on practical insights and clear explanations. Who is it for? This book is tailored for intermediate-level developers, database architects, data analysts, engineers, and scientists who use MongoDB. If you are familiar with MongoDB and looking to expand your understanding specifically around its aggregation capabilities, this guide is for you. Whether you're analyzing time series data or need to optimize pipelines for performance, you'll find actionable tips and examples here to suit your needs.

Discover the many capabilities of MongoDB 7.0 with this comprehensive guide designed to take your database skills to new heights. By exploring advanced features like aggregation pipelines, role-based security, and MongoDB Atlas, you will gain in-depth expertise in modern data management. This book empowers you to create secure, high-performance database applications. What this Book will help me do Understand and implement advanced MongoDB queries for detailed data analysis. Apply optimized indexing techniques to maximize query performance. Leverage MongoDB Atlas for robust monitoring, efficient backups, and advanced integrations. Develop secure applications with role-based access control, auditing, and encryption. Create scalable and innovative solutions using the latest features in MongoDB 7.0. Author(s) Marko Aleksendrić, Arek Borucki, and their co-authors are accomplished experts in database engineering and MongoDB development. They bring collective experience in teaching and practical application of MongoDB solutions across various industries. Their goal is to simplify complex topics, making them approachable and actionable for developers worldwide. Who is it for? This book is written for developers, software engineers, and database administrators with experience in MongoDB who want to deepen their expertise. An understanding of basic database operations and queries is recommended. If you are looking to master advanced concepts and create secure, optimized, and scalable applications, this is the book for you.

Mastering MongoDB 7.0 is your in-depth resource for learning MongoDB 7.0, the powerful NoSQL database designed for developers. Gain expertise in database architecture, data management, and modern features like MongoDB Atlas. By reading this book, you'll acquire the essential skills needed for building efficient, scalable, and secure applications. What this Book will help me do Develop expert-level skills in crafting advanced queries and managing complex data tasks in MongoDB. Learn to design efficient schemas and optimize indexing to maximize database performance. Integrate applications seamlessly with MongoDB Atlas, mastering its monitoring and backup tools. Implement robust security with RBAC, auditing strategies, and comprehensive encryption. Explore the latest MongoDB 7.0 features, including Atlas Vector Search, for modern applications. Author(s) Marko Aleksendrić, Arek Borucki, and co-authors are recognized MongoDB experts with years of hands-on experience. They bring together their expertise to deliver a practical guide filled with real-world insights that help developers advance their MongoDB skills. Their collaborative writing ensures comprehensive coverage of MongoDB 7.0 tools and techniques. Who is it for? This book is written for software developers, database administrators, and engineers who have intermediate knowledge of MongoDB and want to extend their expertise. Whether you are developing scalable applications, managing data systems, or ensuring database security, this book offers advanced guidance for achieving your professional goals with MongoDB.

Practical MongoDB Aggregations serves as the definitive guide to mastering aggregation pipelines within MongoDB 7.0. Officially endorsed by MongoDB, Inc., this book provides streamlined strategies and practical examples to help you achieve complex data manipulation and analytical tasks, ultimately enhancing your database operation proficiency. What this Book will help me do Understand the architecture of the MongoDB aggregation framework to build scalable pipelines. Design and implement optimized aggregation pipelines for high performance. Learn practical techniques for processing large datasets efficiently using sharding. Apply data processing directly within MongoDB to minimize external workflows. Master handling arrays and securing data through well-designed pipelines. Author(s) Paul Done is an experienced software engineer with in-depth expertise in MongoDB and database systems. With years of professional experience managing and optimizing databases, Paul draws from real-world scenarios to devise effective strategies for learning MongoDB's advanced features. His approachable and instructional writing style empowers developers, engineers, and analysts to reach their full potential. Who is it for? This book is perfect for developers, database architects, and data engineers who have a foundational understanding of MongoDB and are looking to deepen their practical skills in using aggregation pipelines. Professionals who want to perform efficient data processing and gain insights into MongoDB's advanced features will find this guide invaluable. If you wish to streamline analytical tasks, optimize performance, and work efficiently with MongoDB's latest functionalities, this book is tailored for you.

Master web development with the FARM stack in this comprehensive guide. You'll learn to harness FastAPI for a secure and efficient backend, React for a dynamic frontend, and MongoDB for flexible data storage. Gain practical experience by building fully functional projects that you can deploy and fine-tune, opening doors to enhanced proficiency in modern web technologies. What this Book will help me do Build secure and performant backends using FastAPI and understand its integration with MongoDB. Develop responsive and dynamic user interfaces with React and incorporate server-side rendering for improved SEO. Explore the intricacies of deploying full-stack applications on platforms like Heroku and Netlify. Implement robust user authentication systems with JSON Web Tokens for securing your applications. Apply caching strategies with Redis to enhance the performance and scalability of applications. Author(s) Marko Aleksendrić, the author of this book, combines years of experience in software development with a passion for teaching. Specializing in full-stack web technologies, Marko has a track record of guiding developers in mastering modern tools like FastAPI and React. His practical approach focuses on equipping readers with real-world skills through projects and best practices. Who is it for? This book is ideal for developers with foundational knowledge in Python, JavaScript, and web basics who want to expand their expertise into full-stack development. Whether you're a professional seeking to enhance your project toolkit or a beginner aiming to tackle modern web applications, this guide provides a step-by-step approach tailored to your growth.

Mastering MongoDB 6.x is your complete guide to understanding MongoDB at depth and fully leveraging its capabilities. Learn to design, develop, and administer MongoDB databases that are high-performing, scalable, and secure. From schema modeling to using MongoDB Atlas tools, this book ensures you are well-equipped to build robust applications backed by MongoDB. What this Book will help me do Understand and apply advanced data modeling techniques for MongoDB to optimize data access. Utilize advanced querying capabilities, including aggregation, indexing, and transactions. Implement scalable and distributed systems using MongoDB features like replication and sharding. Administer MongoDB databases securely and efficiently using monitoring and backup tools. Master cloud-based solutions with MongoDB Atlas tools such as Serverless, Atlas Search, and Compass. Author(s) Alex Giamas, the author of Mastering MongoDB 6.x, is a seasoned expert in database systems and software engineering. With a deep knowledge of MongoDB gained through years of practical experience, Alex has contributed to numerous projects that utilize MongoDB to power large-scale applications. Passionate about sharing knowledge, Alex creates thorough, accessible guides to empower developers and administrators alike. Who is it for? This book is perfect for MongoDB developers and database administrators seeking to deepen their skills. If you're involved in designing, deploying, or managing greenfield or existing projects using MongoDB, this book is invaluable. Basic familiarity with MongoDB, shell commands, and database design concepts is recommended to fully benefit from the insights provided.

Make log processing a real asset to your organization with powerful and free open source tools. In Logging in Action you will learn how to: Deploy Fluentd and Fluent Bit into traditional on-premises, IoT, hybrid, cloud, and multi-cloud environments, both small and hyperscaled Configure Fluentd and Fluent Bit to solve common log management problems Use Fluentd within Kubernetes and Docker services Connect a custom log source or destination with Fluentd’s extensible plugin framework Logging best practices and common pitfalls Logging in Action is a guide to optimize and organize logging using the CNCF Fluentd and Fluent Bit projects. You’ll use the powerful log management tool Fluentd to solve common log management, and learn how proper log management can improve performance and make management of software and infrastructure solutions easier. Through useful examples like sending log-driven events to Slack, you’ll get hands-on experience applying structure to your unstructured data. About the Technology Don’t fly blind! An effective logging system can help you see and correct problems before they cripple your software. With the Fluentd log management tool, it’s a snap to monitor the behavior and health of your software and infrastructure in real time. Designed to collect and process log data from multiple sources using the industry-standard JSON format, Fluentd delivers a truly unified logging layer across all your systems. About the Book Logging in Action teaches you to record and analyze application and infrastructure data using Fluentd. Using clear, relevant examples, it shows you exactly how to transform raw system data into a unified stream of actionable information. You’ll discover how logging configuration impacts the way your system functions and set up Fluentd to handle data from legacy IT environments, local data centers, and massive Kubernetes-driven distributed systems. You’ll even learn how to implement complex log parsing with RegEx and output events to MongoDB and Slack. What's Inside Capture log events from a wide range of systems and software, including Kubernetes and Docker Connect to custom log sources and destinations Employ Fluentd’s extensible plugin framework Create a custom plugin for niche problems About the Reader For developers, architects, and operations professionals familiar with the basics of monitoring and logging. About the Author Phil Wilkins has spent over 30 years in the software industry. Has worked for small startups through to international brands. Quotes I highly recommend using Logging in Action as a getting-started guide, a refresher, or as a way to optimize your logging journey. - From the Foreword by Anurag Gupta, Fluent maintainer and Cofounder, Calyptia Covers everything you need if you want to implement a logging system using open source technology such as Fluentd and Kubernetes. - Alex Saez, Naranja X A great exploration of the features and capabilities of Fluentd, along with very useful hands-on exercises. - George Thomas, Manhattan Associates A practical holistic guide to integrating logging into your enterprise architecture. - Satej Sahu, Honeywell

IBM® Spectrum Protect Plus is a data protection solution that provides near-instant recovery, replication, retention management, and reuse for virtual machines, databases, and application backups in hybrid multicloud environments. This IBM Redpaper publication focuses on protecting database applications. IBM Spectrum® Protect Plus supports backup, restore, and data reuse for multiple databases, such as Oracle, IBM Db2®, MongoDB, Microsoft Exchange, and Microsoft SQL Server. Although other IBM Spectrum Protect Plus features focus on virtual environments, the database and application support of IBM Spectrum Protect Plus includes databases on virtual physical servers.

Use this fast and complete guide to optimize the performance of MongoDB databases and the applications that depend on them. You will be able to turbo-charge the performance of your MongoDB applications to provide a better experience for your users, reduce your running costs, and avoid application growing pains. MongoDB is the world’s most popular document database and the foundation for thousands of mission-critical applications. This book helps you get the best possible performance from MongoDB. MongoDB Performance Tuning takes a methodical and comprehensive approach to performance tuning that begins with application and schema design and goes on to cover optimization of code at all levels of an application. The book also explains how to configure MongoDB hardware and cluster configuration for optimal performance. The systematic approach in the book helps you treat the true causes of performance issues and get the best return on your tuninginvestment. Even when you’re under pressure and don’t know where to begin, simply follow the method in this book to set things right and get your MongoDB performance back on track. What You Will Learn Apply a methodical approach to MongoDB performance tuning Understand how to design an efficient MongoDB application Optimize MongoDB document design and indexing strategies Tune MongoDB queries, aggregation pipelines, and transactions Optimize MongoDB server resources: CPU, memory, disk Configure MongoDB Replica sets and Sharded clusters for optimal performance Who This Book Is For Developers and administrators of high-performance MongoDB applications who want to be sure they are getting the best possible performance from their MongoDB system. For developers who wish to create applications that are fast, scalable,and cost-effective. For administrators who want to optimize their MongoDB server and hardware configuration.

This book, "MongoDB Fundamentals", is the ideal hands-on guide to learning MongoDB. By starting from the basics of NoSQL databases and progressing to cloud integration using MongoDB Atlas, you will gain practical experience managing, querying, and visualizing data effectively for real-world applications. What this Book will help me do Set up and manage a MongoDB database with both local and cloud environments. Master querying and modifying data using the aggregation framework for complex operations. Implement effective database architecture with replication and sharding techniques. Ensure data security and resilience through user management and efficient backup/restore methods. Visualize data insights through dynamic reports and charts using MongoDB Charts. Author(s) Amit Phaltankar, Juned Ahsan, Michael Harrison, and Liviu Nedov are seasoned professionals in the field of database management systems, each bringing extensive experience working with MongoDB and cloud technologies. They excel at translating technical concepts into accessible, actionable insights, and have a passion for enabling IT professionals to create high-performance database solutions. Who is it for? "MongoDB Fundamentals" is tailored for developers, database administrators, system administrators, and cloud architects who are new to MongoDB but are looking to integrate it into their data processing workflows. It's perfect for those who aim to enhance their skills in handling data within cloud computing environments and have some basic programming or database experience.

Explore the capabilities of MongoDB 4.x with this comprehensive guide designed for developers and administrators working with NoSQL databases. Dive into topics such as database design, advanced query handling, and security configuration, and gain hands-on experience through practical examples and insights. What this Book will help me do Learn to configure and install MongoDB 4.x for development and administration. Understand the principles of NoSQL schema design for optimal performance. Perform complex queries and operations to manage your MongoDB databases. Secure your MongoDB setup with role-based access control and encryption techniques. Monitor and optimize database performance for production environments. Author(s) None Bierer, the author of 'Learn MongoDB 4.x,' is a seasoned database expert with extensive experience in NoSQL technologies. With a focus on practicality and clear explanations, None brings deep insights into MongoDB's development and administration. Who is it for? This book is ideal for early-career developers, system administrators, and database enthusiasts eager to break into NoSQL technologies. If you are familiar with Python and basic database concepts, this book will guide you through mastering MongoDB. It's perfect for those building dynamic backend systems.

Create a world-class MongoDB cluster that is scalable, reliable, and secure. Comply with mission-critical regulatory regimes such as the European Union’s General Data Protection Regulation (GDPR). Whether you are thinking of migrating to MongoDB or need to meet legal requirements for an existing self-managed cluster, this book has you covered. It begins with the basics of replication and sharding, and quickly scales up to cover everything you need to know to control your data and keep it safe from unexpected data loss or downtime. This book covers best practices for stable MongoDB deployments. For example, a well-designed MongoDB cluster should have no single point of failure. The book covers common use cases when only one or two data centers are available. It goes into detail about creating geopolitical sharding configurations to cover the most stringent data protection regulation compliance. The book also covers different tools and approaches for automating and monitoring a cluster with Kubernetes, Docker, and popular cloud provider containers. What You Will Learn Get started with the basics of MongoDB clusters Protect and monitor a MongoDB deployment Deepen your expertise around replication and sharding Keep effective backups and plan ahead for disaster recovery Recognize and avoid problems that can occur in distributed databases Build optimal MongoDB deployments within hardware and data center limitations Who This Book Is For Solutions architects, DevOps architects and engineers, automation and cloud engineers, and database administrators who are new to MongoDB and distributed databases or who need to scale up simple deployments. This book is a complete guide to planning a deployment for optimal resilience, performance, and scaling, and covers all the details required to meet the new set of data protection regulations such as the GDPR. This book is particularly relevant for large global organizations such as financial and medical institutions, as well as government departments that need to control data in the whole stack and are prohibited from using managed cloud services.