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 Google Cloud Associate Cloud Engineer Certification and Implementation Guide

You're reading from   Google Cloud Associate Cloud Engineer Certification and Implementation Guide Master the deployment, management, and monitoring of Google Cloud solutions

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Product type Paperback
Published in Sep 2023
Publisher Packt
ISBN-13 9781803232713
Length 606 pages
Edition 1st Edition
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Authors (2):
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Wojciech Marusiak Wojciech Marusiak
Author Profile Icon Wojciech Marusiak
Wojciech Marusiak
Agnieszka Koziorowska Agnieszka Koziorowska
Author Profile Icon Agnieszka Koziorowska
Agnieszka Koziorowska
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Toc

Table of Contents (20) Chapters Close

Preface 1. Part 1:Overview of Google Cloud Platform and Associate Cloud Engineer Certification
2. Chapter 1: Associate Cloud Engineer Certification Essentials FREE CHAPTER 3. Chapter 2: Google Cloud Platform Fundamentals 4. Part 2:Configuring and Implementing Google Cloud
5. Chapter 3: Planning and Managing GCP Resources 6. Chapter 4: Implementing Compute Solutions – Google Compute Engine 7. Chapter 5: Implementing Compute Solutions – Google Kubernetes Engine (Part 1) 8. Chapter 6: Implementing Compute Solutions – Google Kubernetes Engine (Part 2) 9. Chapter 7: Implementing Compute Solutions – Cloud Run, Cloud Functions, and Infrastructure as Code 10. Chapter 8: Configuring and Implementing Data Storage Solutions 11. Chapter 9: Configuring and Implementing Networking Components 12. Part 3:Data Analytics, Security, Operations, and Cost Estimation in Google Cloud
13. Chapter 10: Data Processing Services in Google Cloud 14. Chapter 11: Monitoring, Logging, and Estimating Costs in GCP 15. Chapter 12: Implementing Identity and Security in Google Cloud 16. Mock Test 1 17. Mock Test 2 18. Index 19. Other Books You May Enjoy

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—...
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