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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

Data management strategies for your databases in Google Cloud

In the previous section, we learned that the choice we make from the different database options offered by Google Cloud will depend on the workloads we face when considering factors such as data structure, data volume, latency, and throughput. In this section, we will focus on factors that allow us to get the best performance from our database, to ensure that applications developed on these databases function optimally.

What is database sharding?

Database sharding is a horizontal partition of data held on a separate server to spread the load.

Some of the database solutions that Google Cloud offers, such as Firestore, Cloud Spanner, and Bigtable, do database sharding in order to give the benefits of horizontal scaling.

One of the problems of database sharding is hot-spotting, a performance problem that we are going to review in the next section.

What is hot-spotting, and why should you avoid it?

Hot-spotting...

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