Raven

Raven provides real-time oversight for your operational models, akin to system performance monitors but specifically for model behavior. Key features include: • Captures inference logs (confidence, latency, feature values) • Identifies data deviations and confidence degradation • Dispatches alerts to Slack or email for detected issues • Stores performance metrics in ClickHouse for fast retrieval and display on clean dashboards This platform helps you proactively address confidence drops, data shifts, and latency spikes before they impact end-users. It offers purpose-built observation capabilities for model inference, featuring real-time alerts and granular deviation detection at the feature level. The system is designed for quick installation via a Helm command and operates entirely within your own Kubernetes cluster, ensuring that no sensitive data ever leaves your infrastructure. Raven empowers teams to integrate monitoring quickly with simple SDKs and minimal code changes. Within seconds, you can transition from logging to receiving critical alerts, allowing for rapid issue identification and optimization. This results in more stable and reliable model performance. Ideal for engineering teams, data scientists, and operations professionals who manage production models and require robust, self-hosted visibility to maintain high performance and preempt potential failures.