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

Pod management

Before we start managing Pods, we must learn what they are and how to deploy them.

Essentially, Pods are the smallest deployable units of computing that can be created and managed in Kubernetes. A Pod is a group of one or more containers, such as Docker containers. Pods share network and storage resources and represent an instance of a running process in the Kubernetes cluster.

Once clusters and node pools are ready, we will mainly work with Pods, and in the next sections, we will learn in detail about their lifecycle and possible operations.

Pod lifecycle

Pods go through a specific sequence of stages throughout their lifecycle. It begins with the Pending phase, progresses to the Running phase if at least one of its primary containers starts successfully, and ultimately transitions to either the Succeeded or Failed phase based on whether any container within the Pod terminates with a failure.

Pods can have the following statuses:

  • Pending—...