🚀 Kubernetes Dashboard – Advanced Kubernetes Monitoring & Security

A feature-rich Kubernetes Dashboard with live system monitoring, health checks, and container security scanning using Trivy.
Empower your DevOps workflow with real-time cluster insights, security vulnerability detection, and an intuitive UI for Kubernetes resource management.

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📌 Table of Contents

• 🌟 Overview
• ✨ Features
• 🛠 Prerequisites
• ⚙️ Installation & Setup
• 🔍 How It Works
• 🛡 Security & Vulnerability Scanning
• ⚙️ Technology Stack
• 🚀 Deployment Options
• 📜 License
• 🌟 Support & Contributions

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🌟 Overview

The Kubernetes Dashboard Web Application is designed to simplify Kubernetes cluster monitoring, pod health checks, and container security scanning.

🔹 Real-time insights – Track CPU, memory, and storage usage.
🔹 Namespace-based monitoring – Select a namespace to view Kubernetes resources.
🔹 Security scanning with Trivy – Detect vulnerabilities in container images.
🔹 Modern & responsive UI – Built with HTML, CSS, JavaScript, and Flask.
🔹 Fast & lightweight – Optimized for performance and scalability.

This dashboard enables DevOps engineers, SREs, and developers to efficiently manage their Kubernetes clusters while ensuring security best practices.

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✨ Features

✅ Live System Metrics – View real-time CPU, memory, and storage consumption.
✅ Kubernetes Resource Status – Track Deployments, Services, and Pods by namespace.
✅ Container Image Security Scanning – Scan Docker images using Trivy for vulnerabilities.
✅ Pod Health Checks – Monitor pod status, restarts, and logs.
✅ User-friendly Dashboard – Simple, responsive, and easy-to-use UI.
✅ Lightweight & Efficient – Built for high performance and minimal resource usage.

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🛠 Prerequisites

Before installing the Kubernetes Dashboard, ensure you have the following dependencies installed:

🔹 Python 3.8+ – Required for Flask backend.
🔹 pip – Python package manager.
🔹 Docker & Kubernetes Cluster – To monitor cluster resources.
🔹 kubectl – Kubernetes command-line tool.
🔹 Trivy – For container image vulnerability scanning.

Install kubectl and Trivy if not already installed:

# Install kubectl (for Kubernetes resource monitoring)
curl -LO "https://dl.k8s.io/release/$(curl -L -s https://dl.k8s.io/release/stable.txt)/bin/linux/amd64/kubectl"
chmod +x kubectl
sudo mv kubectl /usr/local/bin/

# Install Trivy (for security scanning)
brew install aquasecurity/trivy/trivy  # For macOS
sudo apt install trivy  # For Ubuntu/Debian

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⚙️ Installation & Setup

1️⃣ Clone the Repository

git clone https://github.com/NotHarshhaa/kubernetes-dashboard.git
cd kubernetes-dashboard

2️⃣ Install Python Dependencies

pip install -r requirements.txt

3️⃣ Start the Flask Application

python app.py

🚀 The dashboard is now accessible at http://localhost:5000.

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🔍 How It Works

📊 Monitoring Kubernetes System Metrics

• The top section of the dashboard displays live CPU, memory, and storage metrics.
• These values provide real-time cluster performance monitoring.

🔄 Kubernetes Namespace Selection

• Choose a Kubernetes namespace from the dropdown.
• The dashboard fetches Deployments, Services, and Pods specific to the selected namespace.

🛡 Image Security Scanning with Trivy

• Enter a Docker image ID (e.g., nginx:latest).
• Click Scan to initiate a security vulnerability assessment.
• The scan report provides details of any critical, high, medium, or low-risk vulnerabilities.

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🛡 Security & Vulnerability Scanning

This dashboard integrates Trivy to perform real-time security assessments of Docker images.

🔥 Why Use Trivy?

✅ Detects OS vulnerabilities in container images.
✅ Identifies known exploits and security risks.
✅ Provides CVE (Common Vulnerabilities and Exposures) reports.

🔍 Running a Manual Scan

trivy image nginx:latest

Output Example:

nginx:latest (debian 11)
=========================
Total: 10 vulnerabilities
Critical: 2 | High: 3 | Medium: 5 | Low: 0

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⚙️ Technology Stack

Component	Technology
Frontend	HTML, CSS, JavaScript
Backend	Python Flask
Kubernetes API	Python Kubernetes Client
Security Scanning	Trivy
Deployment	Docker, Kubernetes

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🚀 Deployment Options

You can deploy the Kubernetes Dashboard using Docker, Kubernetes, or a cloud platform.

🔹 Run with Docker

docker build -t kubernetes-dashboard .
docker run -p 5000:5000 kubernetes-dashboard

🔹 Deploy on Kubernetes

kubectl apply -f k8s-manifest.yaml

🔹 Deploy on Cloud (AWS/GCP/Azure)

You can deploy the dashboard on a Kubernetes cluster running on AWS EKS, GCP GKE, or Azure AKS.

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📜 License

This project is licensed under the MIT License – free for personal and commercial use.

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🌟 Support & Contributions

🤝 Contributing

Contributions are welcome! If you'd like to improve this project, feel free to submit a pull request.

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Hit the Star! ⭐

If you find this repository helpful and plan to use it for learning, please give it a star. Your support is appreciated!

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🛠️ Author & Community

This project is crafted by Harshhaa 💡.
I’d love to hear your feedback! Feel free to share your thoughts.

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📧 Connect with me:

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📢 Stay Connected