Book Image

Angular for Enterprise-Ready Web Applications - Second Edition

By : Doguhan Uluca
Book Image

Angular for Enterprise-Ready Web Applications - Second Edition

By: Doguhan Uluca

Overview of this book

This second edition of Angular for Enterprise-Ready Web Applications is updated with in-depth coverage of the evergreen Angular platform. You’ll start by mastering Angular programming fundamentals. Using the Kanban method and GitHub tools, you’ll build great-looking apps with Angular Material and also leverage reactive programming patterns with RxJS, discover the flux pattern with NgRx, become familiar with automated testing, utilize continuous integration using CircleCI, and deploy your app to the cloud using Vercel Now and GCloud. You will then learn how to design and develop line-of-business apps using router-first architecture with observable data anchors, demonstrated through oft-used recipes like master/detail views, and data tables with pagination and forms. Next, you’ll discover robust authentication and authorization design demonstrated via integration with Firebase, API documentation using Swagger, and API implementation using the MEAN stack. Finally, you will learn about DevOps using Docker, build a highly available cloud infrastructure on AWS, capture user behavior with Google Analytics, and perform load testing. By the end of the book, you’ll be familiar with the entire gamut of modern web development and full-stack architecture, learning patterns and practices to be successful as an individual developer on the web or as a team in the enterprise.
Table of Contents (19 chapters)
15
Another Book You May Enjoy
16
Index

Containerizing web apps using Docker

Docker, which can be found at https://docker.io, is an open platform for developing, shipping, and running applications. Docker combines a lightweight container virtualization platform with workflows and tooling that help manage and deploy applications. The most obvious difference between Virtual Machines (VMs) and Docker containers is that VMs are usually dozens of gigabytes in size and require gigabytes of memory, whereas containers take up megabytes in terms of disk and memory size requirements. Furthermore, the Docker platform abstracts away host operating system (OS) - level configuration settings, so every piece of configuration that is needed to successfully run an application is encoded within a human-readable format.

Anatomy of a Dockerfile

A Dockerfile consists of four main parts:

  • FROM – where we can inherit from Docker's minimal "scratch" image or a pre-existing image
  • SETUP –...