Containerization and Deployment Pipeline (Podman, Kubernetes & SonarQube)

This project demonstrates a complete DevOps workflow for containerizing, deploying, and maintaining application quality using modern tools and best practices.

Objectives:

Containerize applications using Red Hat Podman

Deploy containerized applications to a Kubernetes cluster

Manage source code and version control using GitHub

Integrate SonarQube into the CI/CD pipeline for:

Code quality analysis

Vulnerability detection

Continuous inspection

Workflow Overview:

Develop a sample application (Python Flask).

Build and manage containers using Podman.

Push code changes to GitHub.

Automatically analyze code quality with SonarQube.

Deploy the containerized application to Kubernetes using Minikube or OpenShift.

Validate deployment and application behavior.

Technologies Used:

Podman

Kubernetes (Minikube / OpenShift)

GitHub

SonarQube

Python (Flask)

CI/CD concepts

Key Features:

Secure containerization without Docker daemon

Automated deployment pipeline

Continuous code quality and security checks

Scalable and cloud-ready architecture

Project Goal:

To build a reliable and automated deployment pipeline that ensures high-quality, secure, and scalable applications using DevOps best practices.