Ops
Automates server, network device inspection, and IT operations with AI-driven monitoring and anomaly detection.
About
Ops transforms traditional IT operations into an AI-driven experience through the seamless integration of Model Context Protocol (MCP) and Large Language Models (LLMs). It automates server monitoring, intelligently detects anomalies, and enables context-aware troubleshooting through natural language interaction. The system bridges human operators and complex IT infrastructure, facilitating tasks from routine maintenance to complex problem diagnosis, all while maintaining enterprise-grade security and scalability.
Key Features
- Real-time monitoring of CPU, memory, and disk usage.
- 19 GitHub stars
- Extensible plugin architecture for enhanced functionality.
- Automated security vulnerability scans (SSH login, firewall status).
- Container management with Docker, including resource usage monitoring.
- Multi-vendor network device management (Cisco, Huawei, H3C).
Use Cases
- Automated server health checks and performance monitoring.
- Intelligent anomaly detection in IT infrastructure for proactive problem resolution.
- Network device configuration analysis and troubleshooting.
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