Book Image

Professional Cloud Architect – Google Cloud Certification Guide

By : Konrad Cłapa, Brian Gerrard
Book Image

Professional Cloud Architect – Google Cloud Certification Guide

By: Konrad Cłapa, Brian Gerrard

Overview of this book

Google Cloud Platform (GCP) is one of the leading cloud service suites and offers solutions for storage, analytics, big data, machine learning, and application development. It features an array of services that can help organizations to get the best out of their infrastructure. This comprehensive guide covers a variety of topics specific to Google's Professional Cloud Architect official exam syllabus and guides you in using the right methods for effective use of GCP services. You'll start by exploring GCP, understanding the benefits of becoming a certified architect, and learning how to register for the exam. You'll then delve into the core services that GCP offers such as computing, storage, and security. As you advance, this GCP book will help you get up to speed with methods to scale and automate your cloud infrastructure and delve into containers and services. In the concluding chapters, you'll discover security best practices and even gain insights into designing applications with GCP services and monitoring your infrastructure as a GCP architect. By the end of this book, you will be well versed in all the topics required to pass Google's Professional Cloud Architect exam and use GCP services effectively.
Table of Contents (26 chapters)
Free Chapter
1
Section 1: Introduction to GCP
5
Section 2: Managing, Designing, and Planning a Cloud Solution Architecture
15
Section 3: Designing for Security and Compliance
17
Section 4: Managing Implementation
19
Section 5: Ensuring Solution and Operations Reliability
21
Section 6: 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...