Enables AI assistants to manage and analyze containers across Docker and Podman through natural language, providing unified inspection, monitoring, and diagnostics.
AI-powered Kubernetes diagnostics that analyzes pod crashes, logs, and cluster health to provide root cause analysis and actionable solutions for common issues like CrashLoopBackOff, OOM kills, and connection errors.
Enables interactive Kubernetes cluster monitoring and troubleshooting through natural language queries. Users can diagnose pod issues, check service status, and investigate cluster problems using conversational AI.
Enables AI agents to inspect and manage Linux kernel-level eBPF security policies, including real-time status monitoring, policy retrieval, dynamic rule injection, and pre-execution SQL/syscall validation via natural language.
Detrix is an agentic debugger.
Watch any variable at any line, zero code changes during debugging
Local or cloud - same workflow for Docker containers and remote hosts
Python, Go, Rust - observation points capture values without pausing, without restarting