Book Image

Building Google Cloud Platform Solutions

By : Ted Hunter, Steven Porter, Legorie Rajan PS
Book Image

Building Google Cloud Platform Solutions

By: Ted Hunter, Steven Porter, Legorie Rajan PS

Overview of this book

GCP is a cloud computing platform with a wide range of products and services that enable you to build and deploy cloud-hosted applications. This Learning Path will guide you in using GCP and designing, deploying, and managing applications on Google Cloud. You will get started by learning how to use App Engine to access Google's scalable hosting and build software that runs on this framework. With the help of Google Compute Engine, you’ll be able to host your workload on virtual machine instances. The later chapters will help you to explore ways to implement authentication and security, Cloud APIs, and command-line and deployment management. As you hone your skills, you’ll understand how to integrate your new applications with various data solutions on GCP, including Cloud SQL, Bigtable, and Cloud Storage. Following this, the book will teach you how to streamline your workflow with tools, including Source Repositories, Container Builder, and Stackdriver. You'll also understand how to deploy and debug services with IntelliJ, implement continuous delivery pipelines, and configure robust monitoring and alerts for your production systems. By the end of this Learning Path, you'll be well versed with GCP’s development tools and be able to develop, deploy, and manage highly scalable and reliable applications. This Learning Path includes content from the following Packt products: • Google Cloud Platform for Developers Ted Hunter and Steven Porter • Google Cloud Platform Cookbook by Legorie Rajan PS
Table of Contents (29 chapters)
Title Page
Copyright and Credits
About Packt
Contributors
Preface
Index

Continuous deployment in Google Cloud


So far we've used Cloud Source Repositories to privately host source code, Cloud Deployment Manager to provision cloud environments, Container Builder to automate builds, and GCR to privately host images. With the addition of Container Builder build triggers, these services can be combined to construct powerful, fully managed solutions for service delivery.

To tie these services together, let's build upon previous examples to create a true Continuous Delivery pipeline. The desired behavior for the pipeline will be to build a new container image for every commit pushed to our Git repository. The pipeline creates a new Compute Engine instance template, configured to use the new image in a container VM. Lastly, a Cloud Deployment Manager deployment is updated to roll out the new template to a fleet of servers in a managed instance group, illustrated in the following diagram:

The relevant resources to accomplish this are included in chapter_12/example_04 of...