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

Exposing GKE Services


All of this magic that GKE and Kubernetes provides us would be for naught if you couldn't expose your services to other GCP-consuming services and the outside world. Don't fret, Kubernetes and GCP provide a wealth of functionality to appropriately expose applications and services to a myriad of different types of consumer. 

When exposing your GKE cluster to traffic, you have three distinct options as to how you expose your services and applications:

  • Cluster IP: Exposes your workload via internal IP to the cluster
  • Node port: Exposes your workload via a specific port on each node within the cluster
  • Load balancer: Creates a load balancer which then exposes your workload via an external IP address

Exposing services within a cluster

As mentioned earlier in the chapter, one of the key scenarios where Kubernetes and GKE are very beneficial is microservices. Once you deploy your services or application to a GKE container cluster, its pods are automatically assigned internal IP addresses...