You're reading from Google Cloud Certified Professional Cloud Developer Exam Guide Modernize your applications using cloud-native services and best practices

Product type Paperback

Published in Sep 2021

Publisher Packt

ISBN-13 9781800560994

Length 382 pages

Edition 1st Edition

Tools

Google App Engine

Concepts

Cloud Native

Author (1):

Sebastian Moreno

View More author details

Table of Contents (21) Chapters

Preface

1. Section 1: Welcome to the Google Cloud Developers' Guide

2. Chapter 1: Google Cloud Platform Developer Fundamentals FREE CHAPTER

3. Chapter 2: Security Fundamentals and Best Practices

4. Section 2: Developing and Modernizing Applications on Google Cloud Platform

5. Chapter 3: Application Modernization Using Google Cloud

6. Chapter 4: Using Cloud Functions and Google App Engine

7. Chapter 5: Virtual Machines and Container Applications on Google Cloud Platform

8. Chapter 6: Managing APIs on Google Cloud Platform

9. Section 3: Storage Foundations

10. Chapter 7: Handling Unstructured Data

11. Chapter 8: Databases and Event Messages in Google Cloud

12. Chapter 9: Data Management and Database Strategies

13. Chapter 10: Optimizing Applications with Caching Strategies on Google Cloud Platform

14. Section 4: SRE for Developers

15. Chapter 11: Logging on Google Cloud Platform

16. Chapter 12: Cloud Monitoring, Tracing, and Debugging

17. Section 5: Analyzing a Sample Case Study

18. Chapter 13: HipLocal Sample Case Study Preparation

19. Chapter 14: Questions and Answers

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How to decide which database fits your needs

Within Google Cloud, we have multiple storage options depending on the workloads we face. For example, we have options for relational databases such as Cloud SQL, semi-structured data storage with Firestore, high-frequency data ingestion capacity with Bigtable, and global information replication with Cloud Spanner.

In the following sections, we will review these four databases in a general way and, in more detail, review different use cases in which we can make the most of these different database options.

Cloud SQL

Cloud SQL is a fully managed database service for relational databases such as MySQL, PostgreSQL, and SQL Server that allows the operational costs associated with ensuring availability and generation of backups to be reduced by delegating them to Google Cloud.

Cloud Spanner

Cloud Spanner is a fully managed relational database with unlimited scalability, strong consistency, and up to 99.999% availability. It optimizes...