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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

Forgetting the complexity of managing a Kubernetes cluster with GKE and Cloud Run

Kubernetes is a container orchestrator that greatly facilitates the management and operation of our applications, especially when we are faced with an ecosystem of microservices that require constant updates and that scale independently. However, the initial setup and installation of a Kubernetes cluster can be a demanding and complex process.

Fortunately, most cloud providers offer self-managed alternatives, so that we don't have to worry about the installation and operation of Kubernetes clusters. Here, GCP is not an exception, offering us GKE.

In addition, GCP offers an even easier and faster version to start experimenting with containerized applications called Cloud Run. This is implemented in an abstraction layer on Kubernetes called Knative, and it allows us to take advantage of totally serverless capabilities, making our applications scale horizontally in a completely automatic way and...

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