This project demonstrates the development, deployment, and containerization of a Python Flask application that interacts with MongoDB on a Kubernetes cluster. The solution uses Docker for containerization and Kubernetes for orchestration, providing a scalable architecture for a bookshop database.
We deployed MongoDB using Kubernetes StatefulSet to ensure stateful operation and data persistence.
- Replicas: 1 MongoDB pod
- ServiceName:
mongodb - VolumeClaimTemplates: Storage provision of 1GB
A Kubernetes service (mongo-service.yaml) was created to provide access to the MongoDB instance.
- Protocol: TCP
- Port: 27017
This bookstore management system performs CRUD operations on a MongoDB database using Flask.
- app.py: Initializes Flask and connects to MongoDB via PyMongo.
- routes.py: Defines URL routes for book management.
- model.py: Contains the
Bookclass for data modeling. - forms.py: Defines forms for adding, editing, and deleting books.
The Python Flask app was containerized using Docker.
- Dockerfile: Specifies the base image and dependencies.
- Port: 5000
The Python application was deployed on Kubernetes using the following files:
app-deployment.yamlflask-app-configmap.yamlmongo-service.yamlmongo-statefulset.yaml
Kubernetes ConfigMaps were used for configuration management, enabling a clean separation of concerns.
Kubernetes Services were utilized for dynamic communication between Flask and MongoDB.
- MongoDB Service: Exposes MongoDB for the Flask app using the DNS name
mongo-service.
This project demonstrates a scalable, containerized Python Flask application with MongoDB using Kubernetes. It leverages Docker for containerization and Kubernetes for dynamic orchestration, showcasing modern microservice deployment strategies.