Book Image

Google Cloud Associate Cloud Engineer Certification and Implementation Guide

By : Agnieszka Koziorowska, Wojciech Marusiak
Book Image

Google Cloud Associate Cloud Engineer Certification and Implementation Guide

By: Agnieszka Koziorowska, Wojciech Marusiak

Overview of this book

Google Cloud Platform (GCP) is a leading cloud provider, helping companies and users worldwide to solve the most challenging business issues. This book will teach cloud engineers working with GCP how to implement, configure, and secure cloud environment, and help students gain confidence in utilizing various GCP services. The book begins by introducing you to Google Cloud and the ACE exam, including various resources that can help you pass. The next set of chapters will help you explore the various compute options in Google Cloud, such as Google Kubernetes Engine and Google Compute Engine. As you advance, you'll gain a clear understanding of the essence of the cloud, including networking and storage, as well as the data analytics products that Google Cloud provides. The chapters also cover key topics such as monitoring, logging, diagnostics, and price estimation along with the most crucial of subjects, security, with a particular focus on identity and access management. Finally, you'll be given the chance to test your newfound knowledge with the help of two mock exams. By the end of this book, you’ll have learned the difference between various Google Cloud Platform services, along with specific use cases, and be able to implement these services with the GCP console and command-line utilities.
Table of Contents (20 chapters)
1
Part 1:Overview of Google Cloud Platform and Associate Cloud Engineer Certification
4
Part 2:Configuring and Implementing Google Cloud
6
Chapter 4: Implementing Compute Solutions – Google Compute Engine
12
Part 3:Data Analytics, Security, Operations, and Cost Estimation in Google Cloud
16
Mock Test 1
17
Mock Test 2

GCE

Let’s start with GCE, one of the core Google Cloud products.

The base resources for virtual machines (VMs) are a processor, memory, storage, and a network. We have many ways to configure VMs, based on our requirements and how to implement them, be it through the Cloud console, command line, or code implementation.

It might not come as a surprise to you that Google Cloud utilizes a hypervisor that is responsible for virtualization – hosting many virtual servers on one or more significant servers. Google Cloud uses a KVM-based hypervisor secured and hardened by Google itself: https://cloud.google.com/blog/products/gcp/7-ways-we-harden-our-kvm-hypervisor-at-google-cloud-security-in-plaintext.

Throughout the chapter, we will refer to a VM as an instance, so please do not be confused when we switch between the two phrases. Similarly, we will refer to Google Compute Engine as GCE.

GCE machine families

Before we actually create our first GCE instance, it is...