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 looked over the main management tools that can be used to manage GCP services. It's important to reiterate that you should understand which services can be managed by which command-line tool and the basic command-line structure. Let's review what we would use each tool for:

  • gcloud can be used to manage many GCP services, but it is most commonly used to manage Compute Engine VM instances, Cloud SQL instances, Kubernetes Engine clusters, and Cloud Deployment Manager deployments.
  • Use cbt to manage Bigtable.
  • Use bq to manage BigQuery.
  • Use gsutil to manage Cloud Storage. We need to understand the different syntax for creating buckets, copying data, and removing buckets.
  • Deployment Manager can be used to automate a variety of GCP services within templates and configuration files.
  • Pricing Calculator.

Remember that Google offers a free tier where you can use these command-line tools and familiarize yourself with creating...