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

Hosting a highly scalable application on Google Compute Engine


There are a number of ways to host a highly scalable application on GCP using Compute Engine, App Engine, and Container Engine. We'll look at a simple PHP and MySQL application hosted on GCE with Cloud SQL and see how the GCP ecosystem helps us in building it in a scalable manner.

First, we'll create a Cloud SQL instance, which will be used by the application servers. The application servers should be designed to be replicated at will depending on any events, such as CPU usage, high utilization, and so on.

So, we'll create an instance template which is a definition of how GCP should create a new application server when it is needed. We feed in the start up script that prepares the instance to our requirements.

Then, we create an instance group which is a group of identical instances defined by the instance template. The instance group also monitors the health of the instances to make sure they maintain the defined number of servers...