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Google Cloud Certified Professional Cloud Developer Exam Guide

Google Cloud Certified Professional Cloud Developer Exam Guide

By : Sebastian Moreno
5 (5)
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Google Cloud Certified Professional Cloud Developer Exam Guide

Google Cloud Certified Professional Cloud Developer Exam Guide

5 (5)
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)
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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

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...

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