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

Schema design and database selection 


The main part of any application is its database selection. In this section, we will look at how to design our database for microservices, whether to keep it separate, to keep it shared, and which database to go to—SQL or NoSQL? We will look at how to categorize data stores based on data types and business capabilities. There are lots of options available. Microservices support polyglot persistence. The approach of selecting a particular data store based on business capabilities and needs is termed polyglot persistence. The following points discuss which database to refer to based on use cases:

  • We can leverage Apache Cassandra to support tabular data, such as inventory data. It has options such as distributed consistency and lightweight transactions to support ACID transactions.
  • We can leverage Redis to support cache data where the data model is simply a key-value pair. Read operations in Redis are super fast.
  • We can leverage MongoDB to support product...