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

Using private pools

Private pools are similar to the default pool in that they are fully managed workers that live in a Google-managed environment. Designed for more complex sets of requirements from those looking to run fully managed builds, private pools help users who require the following:

  • To run resources on a private VPC network that must be accessed from a build
  • More optionality around machine types, such as high-memory machines
  • To further secure the network perimeter of their build environment

Unlike the default pool, you can have multiple private pools in a single Google Cloud project. You create empty private pool resources that contain a definition of what a private pool worker should look like, with details such as their machine type and the network they should connect to. Google will then scale up these private pools from zero workers when builds are scheduled to run on them.

With that said, the workflow for end users submitting builds remains...