Book Image

Professional Cloud Architect Google Cloud Certification Guide - Second Edition

By : Konrad Cłapa, Brian Gerrard
5 (1)
Book Image

Professional Cloud Architect Google Cloud Certification Guide - Second Edition

5 (1)
By: Konrad Cłapa, Brian Gerrard

Overview of this book

Google Cloud Platform (GCP) is one of the industry leaders thanks to its array of services that can be leveraged by organizations to bring the best out of their infrastructure. This book is a comprehensive guide for learning methods to effectively utilize GCP services and help you become acquainted with the topics required to pass Google's Professional Cloud Architect certification exam. Following the Professional Cloud Architect's official exam syllabus, you'll first be introduced to the GCP. The book then covers the core services that GCP offers, such as computing and storage, and takes you through effective methods of scaling and automating your cloud infrastructure. As you progress through the chapters, you'll get to grips with containers and services and discover best practices related to the design and process. This revised second edition features new topics such as Cloud Run, Anthos, Data Fusion, Composer, and Data Catalog. By the end of this book, you'll have gained the knowledge required to take and pass the Google Cloud Certification – Professional Cloud Architect exam and become an expert in GCP services.
Table of Contents (25 chapters)
1
Section 1: Introduction to GCP
5
Section 2: Manage, Design, and Plan a Cloud Solution Architecture
14
Chapter 12: Exploring Storage and Database Options in GCP – Part 2
17
Section 3: Secure, Manage and Monitor a Google Cloud Solution
21
Section 4: Exam Focus

Summary

In this chapter, we learned about Cloud Run, which is a service that allows you to run cloud-native workloads on Google Cloud serverlessly. Cloud Run abstracts all the implementation details of Kubernetes and Knative away from the developer and allows a seamless deployment experience. The developer does not need to understand the complex Kubernetes resource definitions to define how the application should behave under load. Scaling and load balancing are done under the hood based on the parameters that are defined during the deployment. Cloud Run integrates with many GCP services such as Cloud IAM and the Cloud operations suite for logging and monitoring.

We also deployed the Cloud Run service and learned how new revisions can be deployed. Finally, we learned how to control traffic between various revisions.

In the next chapter, we will talk about Anthos, a GCP hybrid multi-cloud platform that allows you to manage cloud-native workloads both in the public cloud as well...