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Google Cloud Platform Cookbook

By : PS

3 (4)

Buy this Book

Google Cloud Platform Cookbook

3 (4)

By: PS

Buy this Book

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.

Preface

Who this book is for

What this book covers

To get the most out of this book

Sections

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Free Chapter

Compute

Introduction

Hosting a Node.js application on Google Compute Engine

Hosting the Node.js application on Google App Engine

Hosting a Node.js application on Kubernetes Engine

Hosting an application on Google Cloud Functions

Hosting a highly scalable application on Google Compute Engine

Storage and Databases

Introduction

Hosting a static application using Google Cloud Storage

Image resizing using Google Cloud Storage and Cloud Functions

Migrating a MariaDB to Cloud Spanner

Loading temperature data to Cloud Bigtable and BigQuery-ing it

Storage metadata in Google Cloud Datastore

Networking

Introduction

Network management using a data and a management network

Content-based load balancing

VPC network peering between two networks

VPN connection between two networks

CDN setup for a static website

Security

Introduction

Scanning for vulnerabilities using Cloud Security Scanner

Using Identity-Aware Proxy on App Engine

Securing financial data using Cloud KMS

Using Data Loss Prevention API

Creating IAM custom roles

Creating service accounts

Automatic recon and defense

Machine Learning and Big Data

Introduction

Uploading data to the Google BigQuery table

Translating text to a target language

Creating a Dataflow pipeline to store streaming data

Using the Vision API

Using the Google Cloud Speech API

Using the Cloud IoT Core

Management Tools

Introduction

Creating alerts on specific events

Monitoring a webserver using Stackdriver Monitoring

Creating tailor-made instances using Deployment Manager

Error Reporting on a Python Flask application

Viewing application state using Stackdriver Debugger

Best Practices

Introduction

Creating a custom VM using Terraform

Monitoring a GCP account using Security Monkey

Creating instance backups

Simulating VM migration

Creating a golden image using Packer

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Creating a custom VM using Terraform

Terraform is a powerful tool used for defining infrastructure as code on various platforms. Two of the biggest advantages of Terraform are its simple templating language (HashiCorp Configuration Language, also known as HCL) and its state maintenance. Terraform's role of provisioning plays well with other configuration management tools. The configurations given to Terraform are converted into API calls to perform the provisioning. Also, when a change is made to the desired state, for example, the count of instances is updated from two to three, Terraform keeps track of the state and launches the creation of one new instance.

In this recipe, similar to the tailor-made VM we created using the Deployment Manager in the previous chapter, we will create a simple VM with two additional disks using Terraform.

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