JavaScript (Node.js) Application Architecture
JavaScript (Node.js) Application Architecture
Summary:
The book "JavaScript (Node.js) Application Architecture" is a practical guide for developers who want to go beyond simple scripts and learn how to design complex, scalable, and maintainable server-side systems on Node.js. The author, Alexey Sokolov, shares years of experience building high-load projects, from organizing code in a monolith to implementing a microservice architecture.
What is this book about?
The book covers the full cycle of designing backend applications on Node.js. You will learn:
- Layered architecture: how to split an application into controllers, services, repositories, and middlewares to keep code clean and testable.
- Design patterns: Dependency Injection, Repository, Observer, Middleware, and other patterns in the context of Node.js.
- Working with databases: designing repositories, working with ORMs (Sequelize, TypeORM), and query optimization.
- Microservices: splitting a monolith, inter-service communication (REST, gRPC, message brokers), managing transactions and data consistency.
- Scaling: clustering, load balancing, caching (Redis), queues (Bull, RabbitMQ), and handling large volumes of data.
- Testing: unit tests, integration tests, API testing, and E2E tests using Jest, Mocha, and Supertest.
Who is this book for?
The book is intended for:
- JavaScript developers with at least 1 year of experience with Node.js who want to deepen their knowledge of architecture.
- Backend developers transitioning from other languages (Python, PHP, Java) to Node.js.
- Team leads and architects looking for proven approaches to designing server applications.
- Developers facing challenges with maintaining and scaling existing projects.
What will you learn?
- How to avoid "spaghetti code" and build a modular architecture.
- How to properly organize error handling and logging.
- How to design an API that is easy to extend and document.
- How to transition from a monolith to microservices without downtime or data loss.
- How to test architectural decisions and refactor code without fear.
The book contains many real-world code examples, diagrams, and checklists. After reading it, you will be able to confidently design systems that can withstand high loads and easily adapt to new business requirements.
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