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The Kubernetes Workshop

You're reading from   The Kubernetes Workshop Learn how to build and run highly scalable workloads on Kubernetes

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Product type Paperback
Published in Sep 2020
Publisher Packt
ISBN-13 9781838820756
Length 780 pages
Edition 1st Edition
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Authors (6):
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Zachary Arnold Zachary Arnold
Author Profile Icon Zachary Arnold
Zachary Arnold
Mohammed Abu Taleb Mohammed Abu Taleb
Author Profile Icon Mohammed Abu Taleb
Mohammed Abu Taleb
Wei Huang Wei Huang
Author Profile Icon Wei Huang
Wei Huang
Sahil Dua Sahil Dua
Author Profile Icon Sahil Dua
Sahil Dua
Mélony Qin Mélony Qin
Author Profile Icon Mélony Qin
Mélony Qin
Faisal Masood Faisal Masood
Author Profile Icon Faisal Masood
Faisal Masood
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Toc

Table of Contents (20) Chapters Close

Preface
1. Introduction to Kubernetes and Containers 2. An Overview of Kubernetes FREE CHAPTER 3. kubectl – Kubernetes Command Center 4. How to Communicate with Kubernetes (API Server) 5. Pods 6. Labels and Annotations 7. Kubernetes Controllers 8. Service Discovery 9. Storing and Reading Data on Disk 10. ConfigMaps and Secrets 11. Build Your Own HA Cluster 12. Your Application and HA 13. Runtime and Network Security in Kubernetes 14. Running Stateful Components in Kubernetes 15. Monitoring and Autoscaling in Kubernetes 16. Kubernetes Admission Controllers 17. Advanced Scheduling in Kubernetes 18. Upgrading Your Cluster without Downtime 19. Custom Resource Definitions in Kubernetes

Life Cycle of a Pod

Now that we know how to run a pod and how to configure it for our use cases, in this section, we will talk about the life cycle of a pod to understand how it works in more detail.

Phases of a Pod

Every pod has a pod status that tells us what stage of its life cycle a pod is in. We can see the pod status by running the kubectl get command:

kubectl get pod

You will see the following response:

NAME         READY       STATUS        RESTARTS      AGE
first-pod    1/1         Running       0             5m44s

For our first pod, named first-pod, we see that the pod is in the Running state.

Let's see what the different states that a pod can have in its life cycle are:

  • Pending: This means that the pod has been submitted to the cluster, but the controller hasn't created all its containers yet. It may be downloading images or waiting for the pod to be scheduled on one of the cluster nodes.
  • Running: This state means that the...
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