You're reading from Angular for Enterprise-Ready Web Applications Build and deliver production-grade and cloud-scale evergreen web apps with Angular 9 and beyond

Product type Paperback

Published in May 2020

Publisher Packt

ISBN-13 9781838648800

Length 824 pages

Edition 2nd Edition

Languages

JavaScript

Tools

Angular

Concepts

Programming Language

Author (1):

Doguhan Uluca

View More author details

Table of Contents (19) Chapters

Preface

1. Introduction to Angular and Its Concepts

2. Setting Up Your Development Environment FREE CHAPTER

3. Creating a Basic Angular App

4. Automated Testing, CI, and Release to Production

5. Delivering High-Quality UX with Material

6. Forms, Observables, and Subjects

7. Creating a Router-First Line-of-Business App

8. Designing Authentication and Authorization

9. DevOps Using Docker

10. RESTful APIs and Full-Stack Implementation

11. Recipes – Reusability, Routing, and Caching

12. Recipes – Master/Detail, Data Tables, and NgRx

13. Highly Available Cloud Infrastructure on AWS

14. Google Analytics and Advanced Cloud Ops

15. Another Book You May Enjoy

16. Index

Appendix A: Debugging Angular

1. Appendix B: Angular Cheat Sheet

Deploying a Dockerfile to the cloud

One of the advantages of using Docker is that we can deploy it on any number of operating environments, from personal PCs to servers and cloud providers. In any case, we would expect our container to function the same way. Let's deploy the LocalCast Weather app to Google Cloud Run.

Google Cloud Run

Google Cloud Run allows you to deploy arbitrary Docker containers and execute them on the Google Cloud Platform without any onerous overhead. Fully managed instances offer some free time; however, there's no free-forever version here. Please be mindful of any costs you may incur. Refer to https://cloud.google.com/run/pricing?hl=en_US%20for%20pricing.

Refer to Chapter 2, Setting Up Your Development Environment, for instructions on how to install glcoud.

This section uses the local-weather-app repo.

Let's configure glcoud so we can deploy a Dockerfile: