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-# Shopping List Web Application on Kubernetes
-
-## Overview
-This project deploys a Python shopping list web application using Flask and PostgreSQL on a Kubernetes cluster. The application allows users to create, track, and manage their shopping items in a persistent way. The deployment includes a Namespace, Deployments for both the web application and PostgreSQL database, a StatefulSet (with PersistentVolume and PersistentVolumeClaim), and Service.
-
-## Application Description
-- Simple shopping list application that allows users to add, mark as purchased, and delete items
-- Each item can have a quantity associated with it
-- All data is stored in PostgreSQL for persistence between application restarts
-- The application uses a Flask web framework with a minimalist interface
-
-## Containers
-- **simple-web-app**: Runs the Python Flask application on port 5000
-- **postgres**: Runs PostgreSQL database to store shopping list items
-
-## Kubernetes Objects
-- **Namespace**: Isolates all the resources under `my-app`
-- **Deployment (Web App)**: Manages the stateless web application pods with 2 replicas for high availability
-- **Deployment (PostgreSQL)**: Manages the PostgreSQL database with persistent storage
-- **StatefulSet**: Manages stateful application pods that require persistent storage
-- **PersistentVolume (PV)**: Provides persistent storage from the host (1GB)
-- **PersistentVolumeClaim (PVC)**: Claims the PV for storage
-- **Service (Web App)**: Exposes the web application externally via LoadBalancer
-- **Service (PostgreSQL)**: Headless service for internal database access
-
-## Networking and Storage
-- Internal service discovery allows the web application to connect to PostgreSQL
-- PostgreSQL uses persistent storage to maintain shopping list data even if pods are restarted
-- The web application is exposed externally using a LoadBalancer service
-
-## Container Configuration
-- The web app container is based on Python and includes Flask and psycopg2
-- PostgreSQL container uses the official PostgreSQL image
-- Resource limits and readiness probes are configured for better stability
-
-## How to Prepare, Run, Pause, and Delete the Application
-
-1. **Prepare the application:**
-   ```bash
-   ./prepare-app.sh
-   ```
-   This script builds the Docker image and creates the directory for persistent volume.
-
-2. **Start the application:**
-   ```bash
-   ./start-app.sh
-   ```
-   This script creates all necessary Kubernetes objects in the correct order, including PostgreSQL.
-
-3. **Pause or delete the application:**
-   ```bash
-   ./stop-app.sh
-   ```
-   This script removes all Kubernetes objects created by `start-app.sh`.
-
-## Accessing the Application
-To access the application:
-
-1. Find the IP address of your Kubernetes node:
-   ```bash
-   kubectl get nodes -o wide
-   ```
-
-2. Access the application in your browser at:
-   ```
-   http://<NODE_IP>:80
-   ```
-   Where `<NODE_IP>` is the IP address of any of your Kubernetes nodes.
-
-## Application Features
-- Add items with quantity
-- Mark items as purchased/unpurchased
-- Delete items
-- Items list is separated into "to buy" and "purchased" sections
-- Data persists between sessions and application restarts
-
-## Database Schema
-The application uses a simple PostgreSQL schema:
-- Table: `shopping_items`
-- Fields:
-  - `id`: Serial primary key
-  - `item`: Text (item name)
-  - `quantity`: Integer (defaults to 1)
-  - `purchased`: Boolean flag (defaults to false)
-
-## Troubleshooting
-If you encounter issues:
-
-1. Check pod status:
-   ```bash
-   kubectl get pods -n my-app
-   ```
-
-2. View pod logs:
-   ```bash
-   kubectl logs <pod-name> -n my-app
-   ```
-
-3. Check service status:
-   ```bash
-   kubectl get svc -n my-app
-   ```
-
-4. Check database connectivity:
-   ```bash
-   kubectl exec -it <web-app-pod-name> -n my-app -- python -c "import psycopg2; conn = psycopg2.connect(host='postgres', dbname='postgres', user='postgres', password='postgres'); print('Connection successful')"
-   ```
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