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

Chapter 5. Google Kubernetes Engine

If you look back over the last few years, you will probably not see much that has caught on at the same pace and scale as containerization. Docker was initially released in March 2013, and then the initial release of Kubernetes followed about a year later in June 2014. Since their releases, both Docker and Kubernetes have spread like wildfire and now boast some fairly staggering adoption numbers.

 

 

This chapter will mostly focus on Google's managed Kubernetes Engine (GKE), but will also talk to Kubernetes itself, so that you get exposure to the core concepts and tenets of the ecosystem as a whole. After reading, you'll walk away with the tools and knowledge needed to deploy solutions to GKE and manage them effectively.

We will cover the following topics in this chapter:

  • Learning about Kubernetes and GKE
  • Understanding the driving philosophies behind GKE
  • Identifying situations where Kubernetes Engine is a good fit
  • Developing and deploying services to GKE
  • Scaling...