Book Image

Cloud Native Automation with Google Cloud Build

By : Anthony Bushong, Kent Hua
Book Image

Cloud Native Automation with Google Cloud Build

By: Anthony Bushong, Kent Hua

Overview of this book

When adopting cloud infrastructure, you are often looking to modernize the automation of workflows such as continuous integration and software delivery. Minimizing operational overhead via fully managed solutions such as Cloud Build can be tough. Moreover, learning Cloud Build’s API and build schema, scalability, security, and integrating Cloud Build with other external systems can be challenging. This book helps you to overcome these challenges by cementing a Google Cloud Build foundation. The book starts with an introduction to Google Cloud Build and explains how it brings value via automation. You will then configure the architecture and environment in which builds run while learning how to execute these builds. Next, you will focus on writing and configuring fully featured builds and executing them securely. You will also review Cloud Build's functionality with practical applications and set up a secure delivery pipeline for GKE. Moving ahead, you will learn how to manage safe roll outs of cloud infrastructure with Terraform. Later, you will build a workflow from local source to production in Cloud Run. Finally, you will integrate Cloud Build with external systems while leveraging Cloud Deploy to manage roll outs. By the end of this book, you’ll be able to automate workflows securely by leveraging the principles of Google Cloud Build.
Table of Contents (18 chapters)
1
Part 1: The Fundamentals
5
Part 2: Deconstructing a Build
9
Part 3: Practical Applications
14
Part 4: Looking Forward

Understanding Cloud Functions and Cloud Run

We will begin by reviewing the “serverless” platforms in scope for this chapter, Cloud Functions and Cloud Run. With an understanding of what developers are responsible for in each, we can then review how to use Cloud Build to manage those responsibilities.

Cloud Functions

When looking to run code with as little operational overhead as possible, Cloud Functions is the first place most developers start. On this platform, developers can choose a supported language runtime that Cloud Functions supports and write small chunks of code. Developers can then deploy that code to Cloud Functions, and it will run in production without developers needing to do the following:

  • Build their code into an artifact
  • Build a container to run their code
  • Create infrastructure to run their code
  • Manage infrastructure to run and scale their code
  • Set up connectivity to instances of their code
  • Configure logging and monitoring...