How To Create Deployment via Kubernetes Python Client :

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Hello Folks.. I hope you all are doing so well. In this blog we will see how we can create a deployment using Kubernetes python client. Like we all know that generally we use kubectl commands for creating, listing, updating, deleting the kubernetes resources. But In this blog we will see how we can use python for doing these things with resources. Its going to be interested so stay tuned.

Prerequisites :

Before we start creating deployment using kubernetes python client. We need to follow some prerequisites like:

So, we need to install Kubernetes Python Client:

$ pip install kubernetes

The kubernetes python client is successfully installed now.

So; now let’s see how we can create a deployment via kubernetes python client.

Creating Deployment :

Now I create one directory on my desktop name is deployment :

or in this directory i have created two files i.e. create-deployment.py nginx-deployment.yaml :

why i created nginx-deployment.yaml file because i created deployment via passing yaml file.

now; i created deployment for that i have to import the python client in my create-deployment.py file

from kubernetes import client, config

Below is the code for creating deployment via python client :

from os import path

import yaml

from kubernetes import client, config


def main():
    # Configs can be set in Configuration class directly or using helper
    # utility. If no argument provided, the config will be loaded from
    # default location.
    config.load_kube_config()

    with open(path.join(path.dirname(__file__), "nginx-deployment.yaml")) as f:
        dep = yaml.safe_load(f)
        k8s_apps_v1 = client.AppsV1Api()
        resp = k8s_apps_v1.create_namespaced_deployment(
            body=dep, namespace="default")
        print("Deployment created. status='%s'" % resp.metadata.name)


if __name__ == '__main__':
    main()

Here; is my nginx-deployment.yaml file that i pass in my create-deployment.py file :

apiVersion: apps/v1
kind: Deployment
metadata:
  name: nginx-deployment
  labels:
    app: nginx
spec:
  replicas: 3
  selector:
    matchLabels:
      app: nginx
  template:
    metadata:
      labels:
        app: nginx
    spec:
      containers:
      - name: nginx
        image: nginx:1.15.4
        ports:
        - containerPort: 80

Now let’s run the create-deployment.py file using command is :