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

Deploying workloads to GKE


The whole point of all the setup and configuration is to finally get to the point where you can deploy workloads to your GKE container clusters. Deploying workloads to GKE has gotten much easier over its lifetime; you can now even deploy simple workloads directly from images in Container Registry using the GCP Cloud Console. The three GKE deployment options are:

  • kubectl run using command line parameters
  • kubectl apply using YAML deployment file
  • Kubernetes Engine Workloads dashboard

As noted earlier in this chapter, scripted deployments are much preferred when repeatability and testability are concerns. The console should only really be used when deploying trial or test workloads in an R&D type environment. The pinnacle of scripted deployments is when you get to parameterized YAML that is driven by an orchestration engine, for example Terraform, allowing you to test and deploy all of your workloads via a tried and true pipeline.

Here is an example of a basic deployment...