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

Cache


Now we are pretty much in the driver's seat of our microservice development. We have developed microservices, connected them via a gateway, and set up a communication layer between them. Since we have distributed our code into various services, one of the problems that may arise is accessing the much-needed data at the right time. Using in-memory has its own set of challenges that we never want to introduce (for example, you need to introduce load balancers, session replicators, and so on). We need some way to access temporary data across services. This would be our caching mechanism: one service creates and stores data in cache, while others may use it on need and situation basis or fail basis. This is where we will introduce Redis as our cache database. Prominent caching solutions include Redis and Hazelcast.

Blessing and curse of caching

Whenever we are told to optimize the performance aspects of our application, the first thing that comes to mind is caching. Caching can be defined...