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TypeScript Microservices

TypeScript Microservices

By : Parth Ghiya
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TypeScript Microservices

TypeScript Microservices

3 (7)
By: Parth Ghiya

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 (12 chapters)
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Introduction to reactive programming

If we want a view of reactive programming from 50,000 above ground level, it can briefly be termed as:

When input x in any function changes, output y automatically updates in the corresponding response without the need to manually invoke it. In short, the sole purpose is to continuously respond to external inputs whenever prompted by output worlds.

Reactive programming is achieved through utilities such as map, filter, reduce, subscribe, unsubscribe, streams. Reactive programming focuses more on events and message-driven patterns rather than manually fiddling with huge implementation details.

Let's take a practical day-to-day example to understand reactive programming. We all have used Excel since the beginning of our IT lives. Now, let's say you write one formula based on a cell value. Now, whenever the cell value is changed...

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