Book Image

Google Cloud Certified Professional Cloud Developer Exam Guide

By : Sebastian Moreno
Book Image

Google Cloud Certified Professional Cloud Developer Exam Guide

By: Sebastian Moreno

Overview of this book

Google Cloud Platform is one of the three major cloud providers in the industry, exhibiting great leadership in application modernization and data management. This book provides a comprehensive introduction for those who are new to cloud development and shows you how to use the tools to create cloud-native applications by integrating the technologies used by Google. The book starts by taking you through the basic programming concepts and security fundamentals necessary for developing in Google Cloud. You'll then discover best practices for developing and deploying applications in the cloud using different components offered by Google Cloud Platform such as Cloud Functions, Google App Engine, Cloud Run, and other GCP technologies. As you advance, you'll learn the basics of cloud storage and choosing the best options for storing different kinds of data as well as understand what site reliability engineers do. In the last part, you'll work on a sample case study of Hip Local, a community application designed to facilitate communication between people nearby, created by the Google Cloud team. By the end of this guide, you'll have learned how to design, develop, and deploy an end-to-end application on the Google Cloud Platform.
Table of Contents (21 chapters)
1
Section 1: Welcome to the Google Cloud Developers' Guide
4
Section 2: Developing and Modernizing Applications on Google Cloud Platform
9
Section 3: Storage Foundations
14
Section 4: SRE for Developers
17
Section 5: Analyzing a Sample Case Study

Optimizing your application with Memorystore for Redis

Memorystore for Redis is a fully managed service that allows us to use a Redis in-memory data store to build applications that require caching data access strategies with queries that have sub-millisecond latency.

Among the advantages of using Redis in Memorystore is the option to select different service tiers that can be adapted to the needs of our application, from basic tiers for development tests to standard tiers with an availability of up to 99.9% in multiple zones and up to 300 GB of memory for data caching. In addition, being a cloud service, it allows us to scale vertically, should our application require more resources.

In terms of security, the Redis instances in Memorystore are protected by private IPs, which means that someone can't access the instances from the internet, but only through resources that are within our own private network, thus reducing the attack surface considerably.

Being a fully managed...