A Complete DevOps Project – CI/CD, Kubernetes & Monitoring

An end-to-end production-style DevOps project demonstrating how to build,containerize, deploy and monitor a web application using modern DevOps tools and best practices.

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Project Overview

This project covers the full DevOps lifecycle:

1. Application development using Python (Flask)
2. Containerization with Docker
3. CI/CD automation using GitHub Actions
4. Deployment to Kubernetes
5. Service exposure via NodePort
6. Monitoring with Prometheus and Grafana

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Tech Stack

1. Programming Language: Python
2. Framework: Flask
3. Containerization: Docker
4. CI/CD: GitHub Actions

• Orchestration: Kubernetes
• Monitoring: Prometheus, Grafana
• Local Cluster: Minikube

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Project Structure

├── app
│   ├── app.py
│   ├── Dockerfile
│   └── requirements.txt
├── deployment.yaml
├── k8s
│   └── namespace.yaml
└── service.yaml

2 directories, 6 files

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Application Details

A simple Flask-based REST API designed for containerized deployment.

API Endpoints

Endpoint	Description
/	Application status and environment
/health	Health check endpoint

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Docker:

Build Image

docker build -t devops-app ./app

Run Locally

docker run -p 5000:5000 devops-app

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CI/CD Pipeline

The GitHub Actions pipeline:

• Triggers on push to main
• Builds Docker image
• Pushes image to DockerHub

Required Secrets

• DOCKER_USERNAME
• DOCKER_PASSWORD

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Kubernetes Deployment

Start Cluster

minikube start

Deploy Resources

kubectl apply -f k8s/namespace.yaml
kubectl apply -f k8s/

Access Application

minikube service devops-service -n devops-project