I Built an AI-Powered Infrastructure Observability Agent from Scratch

Kronveil watches your infrastructure, detects anomalies in real time, and auto-remediates incidents before you even wake up. As platform engineers, we've all been there: 3 AM pages, scrambling through dashboards, correlating logs across 15 different tools, and trying to figure out why the system broke — not just what broke. I built Kronveil to solve this. It's an open-source, AI-powered observability agent that combines deep telemetry collection, real-time anomaly detection, LLM-powered root cause analysis, and autonomous remediation — all in a single Go binary. In this post, I'll walk you through the architecture, the intelligence pipeline, and show you real test results of the system detecting anomalies and auto-remediating incidents in milliseconds. GitHub : github.com/kronveil/kronveil The Problem Modern infrastructure is complex. A typical production environment has: Hundreds of Kubernetes pods scaling up and down Apache Kafka clusters processing millions of events per second Mult