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Google Cloud for DevOps Engineers

You're reading from   Google Cloud for DevOps Engineers A practical guide to SRE and achieving Google's Professional Cloud DevOps Engineer certification

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Product type Paperback
Published in Jul 2021
Publisher Packt
ISBN-13 9781839218019
Length 482 pages
Edition 1st Edition
Concepts
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Author (1):
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Sandeep Madamanchi Sandeep Madamanchi
Author Profile Icon Sandeep Madamanchi
Sandeep Madamanchi
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Toc

Table of Contents (17) Chapters Close

Preface 1. Section 1: Site Reliability Engineering – A Prescriptive Way to Implement DevOps
2. Chapter 1: DevOps, SRE, and Google Cloud Services for CI/CD FREE CHAPTER 3. Chapter 2: SRE Technical Practices – Deep Dive 4. Chapter 3: Understanding Monitoring and Alerting to Target Reliability 5. Chapter 4: Building SRE Teams and Applying Cultural Practices 6. Section 2: Google Cloud Services to Implement DevOps via CI/CD
7. Chapter 5: Managing Source Code Using Cloud Source Repositories 8. Chapter 6: Building Code Using Cloud Build, and Pushing to Container Registry 9. Chapter 7: Understanding Kubernetes Essentials to Deploy Containerized Applications 10. Chapter 8: Understanding GKE Essentials to Deploy Containerized Applications 11. Chapter 9: Securing the Cluster Using GKE Security Constructs 12. Chapter 10: Exploring GCP Cloud Operations 13. Mock Exam 1 14. Mock Exam 2 15. Other Books You May Enjoy Appendix: Getting Ready for Professional Cloud DevOps Engineer Certification

Scheduling and interacting with Pods

A Pod is the smallest unit of deployment in a Kubernetes cluster that runs containerized applications. The kube-scheduler master control plane component is responsible for finding a suitable node for the Pod and includes interactions with other components of the control plane. In addition, kube-scheduler needs to consider multiple configuration options, such as NodeSelector, NodeAffinity, and PodAffinity, to find the right node for the Pod. This section details the interactions that happen during a Pod creation and details the factors that need to be considered while scheduling Pods.

Summarizing master plane interactions on Pod creation

A Pod is a workload that needs to be deployed in a Kubernetes cluster. A Pod needs to run on a node and will host an application. A Pod can be in various phases. The following is a summary of valid Pod phases:

  • Pending: A Pod is accepted by the Kubernetes cluster, but is waiting to be scheduled.
  • ...
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