Book Image

Google Cloud Platform Cookbook

By : Legorie Rajan PS
Book Image

Google Cloud Platform Cookbook

By: Legorie Rajan PS

Overview of this book

Google Cloud Platform is a cloud computing platform that offers products and services to host applications using state-of-the art infrastructure and technology. You can build and host applications and websites, store data, and analyze data on Google's scalable infrastructure. This book follows a recipe-based approach, giving you hands-on experience to make the most of Google Cloud services. This book starts with practical recipes that explain how to utilize Google Cloud's common services. Then, you'll see how to make full use of Google Cloud components such as networking, security, management, and developer tools. Next, we'll deep dive into implementing core Google Cloud services into your organization, with practical recipes on App Engine, Compute Engine, Cloud Functions, virtual networks, and Cloud Storage. Later, we'll provide recipes on implementing authentication and security, Cloud APIs, command-line management, deployment management, and the Cloud SDK. Finally, we'll cover administration and troubleshooting tasks on applications with Compute services and we'll show how to monitor your organization's efficiency with best practices. By the end of this book, you'll have an overall understanding and hands-on implementation of Google Cloud services in your organization with ease.
Table of Contents (14 chapters)
Title Page
Dedication
Packt Upsell
Contributors
Preface
Index

Introduction


In this chapter, we'll discover a few services in the Stackdriver suite and the deployment manager of Google Cloud Platform (GCP). The Stackdriver suite helps us to watch, debug, and correct the applications running on GCP. It helps us understand the programs running on all the compute platforms of GCP and provides a seamless way to monitor and log their execution. The suite also has diagnostic tools to help developers debug the application in production without introducing any changes for discovering the existing bugs.

We'll perform a few recipes to understand the logging, monitoring, and error reporting capabilities in GCP. We'll be using Python as our language of choice to perform these recipes. Also, we'll use GCP's Deployment Manager to implement the infrastructure-as-code paradigm.