errwnd / devops-sample-app

devops-sample-app

Overview

This is a sample application using Flask for the backend and Next.js for the frontend.

Setup Instructions

Backend

1. Navigate to the server directory:

   cd server

2. Create a virtual environment and activate it:

   python3 -m venv venv
   source venv/bin/activate

3. Install the required packages:

   pip install -r requirements.txt

4. Run the Flask application:

   python app.py
   or
   flask run

Frontend

1. Navigate to the client directory:

   cd client

2. Install the required packages:

   npm install

3. Run the Next.js application:

   npm run dev

Task for Candidates

1. CI/CD Pipeline Setup

   • Fork this repository.
   • Create a CI/CD pipeline using Azure DevOps.
   • Include automated testing in the pipeline.
   • Deploy the application to Azure App Services.

2. Containerization

   • Write Dockerfiles for both the Flask backend and the Next.js frontend.
   • Ensure both Docker containers run locally.

3. Kubernetes Deployment on Azure

   • Write Kubernetes manifests to deploy the Docker containers to a Kubernetes cluster.
   • Ensure the application is accessible through a Kubernetes service.

4. Load Balancer

   • Configure Nginx as a load balancer to distribute traffic.

5. Bonus

   • Implement basic logging for the application using ELK stack or Azure Monitor.

Submission

1. Code Repository:

   • Host the project on a private GitHub repository forked from this sample application.
   • Provide a README.md file with instructions on how to set up and run the project locally.
   • Share access to the repository with [email protected].

2. Video Demonstration:

   • Record a video demonstrating the working of the CI/CD pipeline, Docker container, Kubernetes deployment on Azure, and load balancer setup.
   • The video should show:
     • The CI/CD pipeline in action, deploying the application.
     • Running the Docker containers locally.
     • Accessing the application through the Kubernetes service.
     • Nginx implementation.
   • Upload the video to Google Drive and provide the link in the README.md file.

Evaluation Criteria

• Technical accuracy and functionality of the CI/CD pipeline, Docker containers, Kubernetes deployment, and load balancer setup.
• Attention to detail and adherence to best practices in DevOps.