Here’s a description, name, and dependencies for your Kubernetes monitoring tool:

---

KubeSeek

---

*KubeSeek is a sleek, real-time Kubernetes monitoring dashboard designed to provide DevOps teams with a clear and actionable view of their cluster's health. Inspired by the need for simplicity and efficiency, KubeSeek offers a table-based interface with color-coded status indicators, making it easy to identify healthy nodes and namespaces at a glance. With features like auto-refresh, status buttons, and detailed error messages, KubeSeek ensures that you stay on top of your cluster's performance without unnecessary complexity.

Whether you're managing a small development cluster or a large-scale production environment, KubSeek delivers the insights you need to maintain reliability and uptime. Its intuitive design, powered by Flask and kubectl, makes it a must-have tool for Kubernetes administrators and developers alike.

---

Key Features

• Real-Time Monitoring: Continuously monitors nodes and namespaces for health and status.
• Color-Coded Statuses: Green for "200 - OK" and red for errors like "502" or "404".
• Table-Based Interface: Displays data in a clean, organized table format.
• Auto-Refresh: Automatically updates the dashboard to reflect the latest cluster status.
• Error Details: Provides detailed error messages for troubleshooting.
• Lightweight and Fast: Built with Flask for a lightweight, responsive experience.

---

Tool Dependencies

Core Dependencies

1. Python 3.x

   • The programming language used to build the tool.

2. Flask

   • A lightweight web framework for serving the dashboard.
   • Install with:

     pip install flask

3. kubectl

   • The Kubernetes command-line tool for interacting with the cluster.
   • Ensure it’s installed and configured with access to your cluster.

4. requests

   • A Python library for making HTTP requests (used to fetch data from APIs).
   • Install with:

     pip install requests

5. subprocess

   • A Python module for running shell commands (used to execute kubectl commands).

6. concurrent.futures

   • A Python module for concurrent execution (used for parallel processing of nodes and namespaces).

---

Optional Dependencies

1. Gunicorn

   • A production-ready WSGI server for deploying the Flask app.
   • Install with:

     pip install gunicorn

2. Docker

   • For containerizing the tool for easy deployment.
   • Install Docker from here.

3. Kubernetes Python Client

   • For advanced Kubernetes interactions (if you want to replace kubectl with Python-native calls).
   • Install with:

     pip install kubernetes

---

How to Run KubeSeek

1. Install Dependencies:

   pip install flask requests

2. Run the Flask App and backend:

   python app.py
   python monitor_cluster.py

3. Access the Dashboard:

   • Open your browser and navigate to http://127.0.0.1:5002/dashboard.

4. Deploy to Production:

   • Use Gunicorn to run the app in production:

     gunicorn -w 4 app:app

   • Or containerize it with Docker for easy deployment.

---

Example Use Case

Imagine you’re managing a Kubernetes cluster with dozens of nodes and namespaces. With KubeSeek, you can:

• Quickly identify unhealthy nodes or namespaces using the color-coded status buttons.
• View detailed error messages to troubleshoot issues.
• Refresh the dashboard with a single click to get the latest status updates.
• Get the autodiscovered nodes and namespaces with the status of all of the pods in a glance

---

Why Choose KubeSeek?

• Simple and Intuitive: No complex setup or steep learning curve.
• Real-Time Insights: Stay updated on your cluster's health in real time.
• Customizable: Easily extend the tool to monitor additional resources or integrate with other systems.

---

Let me know if you’d like help setting up or extending KubeSeek! 😊