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Node.js Cookbook

Node.js Cookbook - Fifth Edition

By : Bethany Griggs, Manuel Spigolon
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Node.js Cookbook

Node.js Cookbook

By: Bethany Griggs, Manuel Spigolon

Overview of this book

Node.js is a game-changing technology for building modern web applications and tooling, bringing the power of JavaScript to the server and enabling full-stack development in a unified language. This updated edition of this Node.js cookbook, featuring Node.js 22, equips you with the latest advancements and enhancements in the Node.js framework ecosystem. From Bethany Griggs, who has served on the Node.js Technical Steering Committee and participated in the Node.js Release Working Group, and Manuel Spigolon, a core maintainer of Fastify, comes this fifth edition of the Node.js Cookbook to help you master Node.js 22. This book guides you step by step through crafting reusable code with Node.js modules, streamlining development using the Fastify web framework, and implementing data persistence in databases and rigorous testing practices for robust applications. You’ll address security concerns, optimize performance with worker threads, deploy Node.js microservices using containerization and orchestration, and tackle troubleshooting with effective debugging strategies. Packed with real-world examples, this guide empowers you to harness Node.js 22's full potential for creating secure, performant, and dynamic applications.
Table of Contents (15 chapters)
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Technical requirements

Throughout this chapter, we will use Docker to provision databases in containers. Using a database container is common when building scalable and resilient architectures – particularly when using a container orchestrator such as Kubernetes.

However, the main reason why we’ll be using Docker containers throughout this chapter is to save us from having to manually install each of the database command-line interfaces (CLIs) and servers onto our system. In this chapter, we will be using Docker to provision containerized MySQL, PostgreSQL, MongoDB, and Redis data stores.

It is recommended to install Docker Desktop from https://docs.docker.com/engine/install/.

If you are unable to install Docker, then you can still complete the recipes, but you will need to manually install the specific databases for each recipe or connect to a remote database service.

Note that this chapter will not cover how to enable persistent data storage from Docker...

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