DevOps Interview Task

This repository contains a DevOps interview task designed to assess skills in application development, containerization, Kubernetes deployment, monitoring, and automation.

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Overview

The task requires you to:

• Develop a Python application that checks if google.com is up and displays the status on a web interface.
• Containerize the application using Docker.
• Deploy the containerized application on a Kubernetes cluster (using Docker Desktop’s Kubernetes environment or minikube).
• Set up monitoring for the application using Prometheus and Grafana.
• Automate the setup and teardown with a single shell script.

For detailed task instructions, please refer to the README_TASK.md file.

Repository Structure

Organize your repository as follows:

├── docker/
│   ├── Dockerfile                   # Dockerfile for the Python app
├── k8s/
│   ├── deployment.yaml              # Kubernetes Deployment manifest
│   ├── service.yaml                 # Kubernetes Service manifest
│   ├── monitoring.yaml              # Monitoring setup for Prometheus/Grafana
├── scripts/
│   ├── deploy.sh                    # Shell script to automate setup and teardown
├── docs/
├── README.md                        # Main README

Submission Instructions

• Create a new GitHub repository with the above structure.
• Implement the task as outlined in README_TASK.md.
• Ensure the automated script works on any machine with Docker Desktop and Kubernetes enabled.
• Submit the GitHub repository link once complete.

Additional Notes

• The assessment criteria are available in README_ASSESSMENT.md.
• Follow best practices for Docker, Kubernetes, and shell scripting.
• Document any assumptions or additional notes in the main README or relevant README files in each directory.

Good luck!