Book Image

TypeScript Microservices

Book Image

TypeScript Microservices

Overview of this book

In the last few years or so, microservices have achieved the rock star status and right now are one of the most tangible solutions in enterprises to make quick, effective, and scalable applications. The apparent rise of Typescript and long evolution from ES5 to ES6 has seen lots of big companies move to ES6 stack. If you want to learn how to leverage the power of microservices to build robust architecture using reactive programming and Typescript in Node.js, then this book is for you. Typescript Microservices is an end-to-end guide that shows you the implementation of microservices from scratch; right from starting the project to hardening and securing your services. We will begin with a brief introduction to microservices before learning to break your monolith applications into microservices. From here, you will learn reactive programming patterns and how to build APIs for microservices. The next set of topics will take you through the microservice architecture with TypeScript and communication between services. Further, you will learn to test and deploy your TypeScript microservices using the latest tools and implement continuous integration. Finally, you will learn to secure and harden your microservice. By the end of the book, you will be able to build production-ready, scalable, and maintainable microservices using Node.js and Typescript.
Table of Contents (17 chapters)
Title Page
Copyright and Credits
Packt Upsell
Contributors
Preface
Index

Introduction to pub/sub pattern


Just as message queuing, pub-sub (publish-subscribe) pattern moves information from producer to a consumer. However the major difference here is this pattern allows multiple consumers to receive each message in a topic. It ensures that the consumer receives messages in a topic in exact same order in which it was received in the messaging system. This pattern can be better understood by taking a real life scenario. Consider a stock market. It is used by large number of people and applications, all of whom should be send messages real time and just the exact sequence of prices. There is a huge difference between a stock going up to down and stock going down to up. Lets see an example Apache Kafka is one of the shining solution when it comes to pub sub pattern. As per docs of Apache Kafka—Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design.

Kafka is a streaming platform...