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Raven is a tool for real-time monitoring and alerting for ML models — something like Grafana, but for your model’s behavior instead of infrastructure
What it does:
* Collects inference logs (confidence, latency, feature values)
* Detects data drift and confidence drops
* Sends alerts to Slack / email when something goes wrong
* Stores metrics in ClickHouse and shows them in a clean dashboard
It installs with a Helm command and runs entirely in your own k8s cluster (no data leaves your infra).

RavenReal-time monitoring for ML models
Ivan Kazimirauleft a comment
Hey everyone 👋 ! I'm glad to introduce Raven - ML models monitoring tool I've built As a first step, I’m opening a small private beta (3–5 teams) — you’ll get a free license in exchange for honest feedback, usage impressions, and suggestions for improvement. If you’re running any kind of production model — fraud detection, recommendations, LLM-based API, etc. — and would like to monitor it...

RavenReal-time monitoring for ML models
