Blogzy

Overview

Blogzy is a Flask-based web application that allows users to create, read, update, and delete blog posts. The application is containerized using Docker and deployed on Kubernetes, with a CI/CD pipeline set up using Jenkins for automated builds and deployments. 📦

Features

User authentication and authorization 🔐
Create, edit, and delete blog posts 📝
Responsive design using Bootstrap 📱
RESTful API for blog management 🌐
CI/CD integration for automated deployments ⚙️

Prerequisites

Docker installed 🐳
Minikube installed 🖥️
Jenkins installed and running 🔧
Python 3.10 or higher 🐍

Installation

Clone the Repository

git clone https://github.com/Flack74/Blogzy.git
cd Blogzy

Setup Python Environment

Create a virtual environment:

python3 -m venv venv
source venv/bin/activate  # On Windows use `venv\Scripts\activate`

Install required packages:
```
pip install -r requirements.txt
```

Running the Application Locally

To run the application locally, set the environment variable for Flask and start the server:

export FLASK_APP=main.py
flask run --host=0.0.0.0 --port=5003

Visit http://localhost:5003 in your browser. 🌍

Docker Setup

Build the Docker Image

docker build -t your-dockerhub-username/blogzy .

Run the Docker Container

docker run -p 5003:5003 your-dockerhub-username/blogzy

Visit http://localhost:5003 in your browser. 🌐

Kubernetes Deployment

Using Minikube

Start Minikube:
```
minikube start
```
Apply Kubernetes configurations:
```
kubectl apply -f k8s/
```
Access the application:
```
minikube service blogzy-service --url
```

CI/CD Pipeline with Jenkins

The CI/CD pipeline is configured to automate the building and deployment of the Blogzy application using Jenkins. 🔄

Jenkins Setup

Create a new pipeline job in Jenkins.
Use the Jenkinsfile provided in the repository to configure the pipeline.
Ensure that Jenkins has access to your Docker Hub account to push images.

License

This project is licensed under the Apache License 2.0. See the LICENSE file for details. 📄

kunalyadav19/blogzy-k8s