Docs / Incident Response / Predictive Outage Detection

Predictive Outage Detection

ML-powered early warning system that detects anomalies in provider behavior before they become full outages.

Features

Baseline Learning

CloudVera continuously learns normal behavior patterns for each provider — latency distribution, error rates, throughput patterns, and time-of-day variations.

Anomaly Detection

Statistical and ML models detect deviations from baseline: gradual latency creep, unusual error patterns, throughput drops, and response quality degradation.

Pre-Incident Alerts

Get alerted before an outage hits. "OpenAI p95 latency has increased 340% over the last 15 minutes — historical pattern suggests a degradation event within 30 minutes."

Automatic Mitigation

Optionally trigger automated responses when predictions exceed confidence thresholds — pre-warm fallback providers, increase cache TTL, or activate circuit breakers proactively.