Minikube Monitoring Dashboard Application

Overview

A web-based dashboard for monitoring a Minikube cluster, built with Flask, psutil, and the Kubernetes Python client.

Features

• Real-time monitoring of CPU, memory, disk usage, and network stats.
• Pod-level metrics for CPU and memory usage.
• Responsive design for mobile and desktop views.
• Real-time chart updates with Chart.js.
• User authentication (optional).
• Deployment instructions for local and Kubernetes environments.

Getting Started

Prerequisites

• Docker
• Minikube
• Python 3.8+

Installation

1. Clone the repository:

   git clone https://github.com/your-username/minikube-monitoring-dashboard.git
   cd minikube-monitoring-dashboard

2. Build the Docker image:

   docker build -t minikube-monitoring .

3. Run the Docker container:

   docker run -p 5000:5000 minikube-monitoring

4. Access the dashboard at http://localhost:5000.

Usage

• Monitor Cluster: View real-time metrics for CPU, memory, disk usage, and network stats.
• Pod Metrics: See CPU and memory usage for each pod in the cluster.

Configuration

• Edit the config.py file to customize the application settings.

Deployment

Local Deployment

1. Start Minikube:

   minikube start

2. Update kubeconfig:

   minikube update-context

3. Run the application:

   python app.py

Kubernetes Deployment

1. Build and push the Docker image to a container registry.
2. Deploy using Kubernetes manifests or Helm charts (included in the k8s directory).

Contributing

Contributions are welcome! Please submit a pull request or open an issue for any changes or improvements.

License

This project is licensed under the MIT License - see the LICENSE file for details.