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Breaking down pod deployment in Kubernetes

Posted on by Simran Chawla

Kubernetes is a powerful container orchestration platform that automates the deployment, scaling, and management of containerized applications.

In this blog post, we’ll walk through the step-by-step process of deploying a pod in Kubernetes, diving into the interactions between the various components.

Process Overview:

1. Pod Creation Request:

  • The journey begins with a user or controller submitting a pod creation request using the kubectl command-line tool or the Kubernetes API.
  • The request includes the pod specification, defining the containers, resources, and other properties of the pod.

2. API Server Validation and Storage:

  • The API server receives the request and validates it against Kubernetes syntax and rules.
  • If valid, it stores the pod specification in the cluster’s data store (typically etcd).

3. Scheduler Notification:

  • The API server notifies the scheduler about the new pod, responsible for finding a suitable node in the cluster to run it.

4. Node Selection:

  • The scheduler filters available nodes based on criteria like:
    • Resource availability (CPU, memory, storage)
    • Node constraints (taints and tolerations)
    • Pod affinity and anti-affinity rules
    • Data locality
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