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

Using Data Loss Prevention API


The DLP API is a service from GCP which understands raw data and identifies sensitive data. In addition to its ability to identify, the DLP API can also redact sensitive data. There are more than 50 detectors handled by the API and it can classify both text and images streams from applications and storage systems. The DLP API is designed  to handle the General Data Protection Regulation (GDPR) and other compliance requirements of an application. This recipe gives you  hands-on usage of the DLP API via a Python program.

Getting ready

The following are the initial setup verification steps, which are required before the recipe can be executed:

  1. Create or select a GCP project.
  2. Enable billing and enable the default APIs (some APIs like BigQuery, storage, monitoring, and a few others are enabled automatically).
  3. Enable the DLP API for the project you have selected. Navigate to APIs & Services, search for DLP, and enable it.

How to do it...

In this recipe, we take an input...