python kubernetes get pods

python kubernetes get pods

Here is a comprehensive guide on how to use Python with Kubernetes to retrieve information about pods.

Prerequisites:

Step 1: Install Required Libraries

To use the kubernetes-client library, you need to install it using pip:

pip install kubernetes

Step 2: Connect to Your Kubernetes Cluster

Use kubectl to configure your Python script to connect to your Kubernetes cluster. You can do this by setting the following environment variables:

import os
Set the KUBECONFIG environment variable
os.environ['KUBECONFIG'] = '/path/to/your/kubeconfig/file'
Set the KUBERNETES_API_KEY environment variable (optional)
os.environ['KUBERNETES_API_KEY'] = 'YOUR_API_KEY'

Step 3: Use the Kubernetes Client Library

Now that you have connected to your cluster, you can use the kubernetes-client library to interact with the Kubernetes API. Here's an example code snippet:

from kubernetes import client
Create a Kubernetes API instance
api = client.ApiClient()
Set the namespace you want to operate on (default is default)
namespace = 'your-namespace'
Get all pods in the specified namespace
pods_api = api.get_pod_for_all_namespaces(namespace)
Iterate through the pods and print their details
for pod in pods_api.items:
print(f"Pod Name: {pod.metadata.name}")
print(f"Namespace: {pod.metadata.namespace}")
print(f"Phase: {pod.status.phase}")
print(f"Ready: {pod.status.container_statuses[0].state.ready}")

This code snippet connects to your Kubernetes cluster, sets the namespace, and then retrieves all pods in that namespace. It then prints out some basic information about each pod.

Additional Tips and Variations

In this example, we've demonstrated how to use Python and the kubernetes-client library to retrieve information about pods in your Kubernetes cluster. With this foundation, you can explore more advanced topics such as deploying applications, managing services, or monitoring cluster resources.

Python kubernetes tutorial

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Here is a comprehensive Python Kubernetes tutorial that covers the basics and beyond:

What is Kubernetes?

Kubernetes (also known as K8s) is an open-source container orchestration system for automating deployment, scaling, and management of containerized applications. It was originally designed by Google, and is now maintained by the Cloud Native Computing Foundation (CNCF).

Why Use Python with Kubernetes?

Python is a popular programming language used extensively in data science, machine learning, and web development. By combining Python with Kubernetes, you can:

Setting up a Kubernetes Cluster

Before diving into the code, let's set up a local Kubernetes cluster using Minikube:

Python and Kubernetes Integration

Let's explore some Python code for interacting with your Kubernetes cluster:

1. Deploying a Containerized Application

Using Python, you can deploy a containerized application on your Kubernetes cluster:

import os
import kubernetes as k8s
Create a Kubernetes client
k8s_client = k8s.config.load_kube_config()
Define the deployment YAML file
deployment_yaml = """
apiVersion: apps/v1
kind: Deployment
metadata:
name: my-app
spec:
replicas: 2
selector:
matchLabels:
app: my-app
template:
metadata:
labels:
app: my-app
spec:
containers:

name: my-container

image: my-image:latest
"""
Create the deployment using Python
deployment = k8s_client.create_namespaced_deployment(
namespace="default", body=deployment_yaml
)
print("Deployment created:", deployment.metadata.name)

2. Listing Running Pods

Using Python, you can list running pods on your Kubernetes cluster:

import kubernetes as k8s
Create a Kubernetes client
k8s_client = k8s.config.load_kube_config()
List running pods
pods = k8s_client.list_namespaced_pod(namespace="default")
for pod in pods.items:
print(f"Pod: {pod.metadata.name}")

3. Creating a Service

Using Python, you can create a Kubernetes service:

import kubernetes as k8s
Create a Kubernetes client
k8s_client = k8s.config.load_kube_config()
Define the service YAML file
service_yaml = """
apiVersion: v1
kind: Service
metadata:
name: my-service
spec:
selector:
app: my-app
ports:

name: http

port: 80
"""
Create the service using Python
service = k8s_client.create_namespaced_service(
namespace="default", body=service_yaml
)
print("Service created:", service.metadata.name)

Conclusion

This tutorial has covered the basics of integrating Python with Kubernetes. You've learned how to set up a local Kubernetes cluster, deploy containerized applications, list running pods, and create services using Python.

The possibilities are endless when combining Python with Kubernetes! With this knowledge, you can automate deployments, develop custom tools, and integrate your Kubernetes cluster with other services and APIs. Happy coding!