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Building Enterprise JavaScript Applications

Building Enterprise JavaScript Applications

By : Daniel Li
4.6 (5)
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Building Enterprise JavaScript Applications

Building Enterprise JavaScript Applications

4.6 (5)
By: Daniel Li

Overview of this book

With the over-abundance of tools in the JavaScript ecosystem, it's easy to feel lost. Build tools, package managers, loaders, bundlers, linters, compilers, transpilers, typecheckers - how do you make sense of it all? In this book, we will build a simple API and React application from scratch. We begin by setting up our development environment using Git, yarn, Babel, and ESLint. Then, we will use Express, Elasticsearch and JSON Web Tokens (JWTs) to build a stateless API service. For the front-end, we will use React, Redux, and Webpack. A central theme in the book is maintaining code quality. As such, we will enforce a Test-Driven Development (TDD) process using Selenium, Cucumber, Mocha, Sinon, and Istanbul. As we progress through the book, the focus will shift towards automation and infrastructure. You will learn to work with Continuous Integration (CI) servers like Jenkins, deploying services inside Docker containers, and run them on Kubernetes. By following this book, you would gain the skills needed to build robust, production-ready applications.
Table of Contents (20 chapters)
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1
The Importance of Good Code

Kubernetes objects

Now that you understand the different Components that make up the Kubernetes system, let's shift our attention to Kubernetes API Objects, or Objects (with a capital O), for short.

As you already know, with Kubernetes, you don't need to interact directly with individual Kubernetes Components; instead, you interact with kube-apiserver and the API server will coordinate actions on your behalf.

The API abstracts away raw processes and entities into abstract concepts called Objects. For instance, instead of asking the API server to "Run these groups of related containers on a node", you'd instead ask "Add this Pod to the cluster". Here, the group of containers is abstracted to a Pod Object. When we work with Kubernetes, all we're doing is sending requests to the Kubernetes API to manipulate...

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