Show HN: Linnix – eBPF observability that predicts failures before they happen
11 days ago
- #AI
- #Linux
- #eBPF
- Linnix provides eBPF-powered Linux observability with optional AI incident detection.
- Features include lightweight CPU/memory telemetry, process lifecycle tracking, and real-time event streaming.
- The linnix-3b model is now available for AI-powered insights, with a 2.1GB quantized model.
- Linnix offers zero overhead (<1% CPU usage) compared to traditional monitoring tools.
- It is cost-effective, open-source (Apache-2.0 license), and production-ready for multi-node clusters.
- Includes a built-in rules engine for detecting incidents like fork storms and CPU spikes.
- Easy setup with a 5-minute installation process and a web dashboard for real-time visualization.
- Supports Prometheus integration and offers REST API endpoints for customization.
- Can use any OpenAI-compatible LLM for AI insights, including local models.
- Comprehensive documentation and community support available.