Python script to track the health of Kubernetes pods

python @ Freshers.in

Creating a Python script to track the health of Kubernetes pods involves interacting with Kubernetes’ APIs to monitor and report on pod status. This article provides a detailed guide on building such a script.

1. Introduction

Monitoring Kubernetes pod health is crucial for ensuring the reliability and performance of applications running in a Kubernetes cluster. Python, with its rich ecosystem and Kubernetes’ API, is an excellent tool for building such monitoring solutions.

2. Prerequisites

  • A Kubernetes cluster set up and accessible.
  • kubectl command-line tool installed and configured.
  • Python installed on your system (Python 3.x is recommended).
  • Basic knowledge of Python programming and Kubernetes concepts.

3. Python Libraries

  • kubernetes: Python client for Kubernetes.
  • time: To handle time-related tasks.

4. Installing the Kubernetes Python Client

First, install the Kubernetes Python client using pip:

pip install kubernetes

5. Writing the Script

5.1 Importing Libraries

from kubernetes import client, config
import time

5.2 Configuring Kubernetes Client

config.load_kube_config()  # Loads kubeconfig from ~/.kube/config
v1 = client.CoreV1Api()

5.3 Defining the Pod Health Monitoring Function

def monitor_pod_health(namespace='default', interval=10):
    print(f"Monitoring pods in namespace: {namespace}")
    while True:
        pods = v1.list_namespaced_pod(namespace)
        for pod in pods.items:
            status = pod.status.phase
            print(f"Pod: {pod.metadata.name}, Status: {status}")
        time.sleep(interval)

5.4 Main Function

def main():
    namespace = input("Enter Kubernetes namespace to monitor (default: 'default'): ") or 'default'
    monitor_pod_health(namespace)
if __name__ == "__main__":
    main()

The script will periodically display the status of each pod in the specified Kubernetes namespace, helping you track their health.

Kubernetes Python Client documentation

Kubernetes’ official documentation

Python’s official documentation

Refer more on python here :

Author: user