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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

High throughput

Throughput is a measure of the number of requests that can be fulfilled in a given time interval.

The throughput of a system depends on several factors:

  • Network Latency: The amount of time it takes for the message to get from the client to our application, as well as between different components of the application
  • Performance: The computation speed of the program itself
  • Parallelism: Whether requests can be processed in parallel

We can increase throughput using the following strategies:

  • Deploying our application geographically close to the client: Generally, this reduces the number of hops that a request must make through proxy servers, and thus reduces network latency. We should also deploy components that depend on each other close together, preferably within the same data center. This also reduces network latency.
  • Ensure servers have sufficient resources...

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