Coroot – AI powered Root Cause Analysis using eBPF-based telemetry
Hey HN, We launched Coroot a while ago as an open source observability tool that collects complete telemetry using eBPF. Today we are adding a major new capability: Coroot enterprise now includes AI-powered Root Cause Analysis. When an incident happens (like an SLO violation), Coroot: - Automatically kicks off an RCA - Summarizes what went wrong in plain English - Suggests immediate fixes - Shows the full investigation using metrics, logs, traces, and profiles With most tools, the quality of root cause analysis depends on how well the system is instrumented. Coroot takes a different…
What it does
In the maker’s words, at launch
Hey HN, We launched Coroot a while ago as an open source observability tool that collects complete telemetry using eBPF. Today we are adding a major new capability: Coroot enterprise now includes AI-powered Root Cause Analysis. When an incident happens (like an SLO violation), Coroot: - Automatically kicks off an RCA - Summarizes what went wrong in plain English - Suggests immediate fixes - Shows the full investigation using metrics, logs, traces, and profiles With most tools, the quality of root cause analysis depends on how well the system is instrumented. Coroot takes a different approach: it uses eBPF to collect all the critical signals automatically, even from uninstrumented or third party services. That gives the AI a much more complete picture to work with. We are keeping it simple and accessible at $1 per monitored CPU core per month. Our core tool is also completely open source at: https://github.com/coroot/coroot You can try it for free or view a demo with the link connected to this thread. We'd love to hear your thoughts!
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