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

Using Cloud Run

As we have already mentioned, deploying applications to Cloud Run is a seamless experience. The following diagram shows a simplified flow for building a container and deploying it to Cloud Run:

Figure 7.1 – Building a Cloud Run service

You start by developing your containerized application, which can listen for HTTPS or gRPC (https://grpc.io/) requests. To build the application from code, you can use the Google Cloud Build service and store the image of your container in Artifact Registry. Next, you must tell Cloud Run where your container is stored and define some parameters, such as the maximum number of replicas you want to run at once or how the application should be triggered. You request to deploy and in a couple of seconds, your app is ready to serve your users.

Cloud Run will take care of running all the Kubernetes resources that are responsible for scaling the application and load balancing the traffic to your Cloud Run service...