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

Google Kubernetes Engine


Many public clouds are investing heavily in compute services that utilize containerization technologies, often referred to as containers as a service (CaaS). These technologies solve entire classes of problems by abstracting away underlying virtual machines and networking components, allowing developers to build and deploy applications inside Linux containers.

Container technologies such as Docker allow developers to manage services somewhere between the application layer and the system layer, giving developers the ability to package the entire runtime environment including the application, external dependencies, and operating system components.

For Google Cloud, CaaS takes the form of GKE. Building on top of the open source Kubernetes project, GKE allows developers to package and deploy applications inside Docker containers while Google manages the underlying VM clusters and Kubernetes installation. This level of abstraction has quickly grown in popularity for its...