Kubernetes AI Management System
by hariohmprasath
This project combines AI with Kubernetes management, enabling real-time diagnostics, resource monitoring, and smart log analysis. It simplifies Kubernetes management through conversational AI, providing a modern alternative to traditional command-line tools.
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What is Kubernetes AI Management System?
The Kubernetes AI Management System is an AI-powered tool designed to simplify and enhance Kubernetes cluster management. It allows users to interact with their Kubernetes environment using natural language queries, providing insights into cluster health, network configurations, storage utilization, and job status.
How to use Kubernetes AI Management System?
To use the system, you need JDK 17+, Maven 3.8+, and a configured Kubernetes cluster (e.g., Minikube). Build the project using mvn clean package. Run the MCP server or the agent directly using the provided java -jar commands. For MCP server integration with Claude Desktop, refer to the mcp-server/README.md. For agent mode with Rest API, refer to the agent/README.md.
Key features of Kubernetes AI Management System
Natural language query interface for Kubernetes management
Real-time cluster health and diagnostics
Network analysis and service discovery
Storage management and capacity monitoring
Job and CronJob analysis
Helm release management
Use cases of Kubernetes AI Management System
Troubleshooting Kubernetes cluster issues using natural language
Monitoring resource utilization and identifying bottlenecks
Automating routine Kubernetes management tasks
Analyzing network configurations and service dependencies
Managing storage volumes and persistent claims
Tracking job execution and identifying failures
FAQ from Kubernetes AI Management System
What is the MCP server?
What is the MCP server?
The MCP (Management Control Plane) server provides a centralized interface for managing the Kubernetes cluster. It can be integrated with tools like Claude desktop for a full experience.
What is the agent mode?
What is the agent mode?
The agent mode allows you to analyze the cluster using natural language queries through a Rest API.
What Kubernetes tools are used?
What Kubernetes tools are used?
The system uses Kubernetes tools for cluster analysis and management, which are utilized by both the agent and the MCP server.
What are the prerequisites for running this system?
What are the prerequisites for running this system?
You need JDK 17 or later, Maven 3.8 or later, and a configured Kubernetes cluster (e.g., Minikube) with a properly configured ~/.kube/config file.
How do I build the project?
How do I build the project?
Use the command mvn clean package to build all modules of the project.