Alerts
Proactive notifications for predicted failures and optimization opportunities—shift from reactive to predictive.
Overview
Wave Alerts provides proactive notifications based on Insights predictions—alerting you days or weeks before issues occur, not after. Shift from reactive incident response to predictive operations.
Instead of alerting on symptoms (CPU > 80%, disk > 90%), Wave alerts on root causes and future problems: cluster will saturate in 14 days, PV will fill in 7 days, deployment has scheduling delays, workload is over-provisioned by 60%.
Why Better Than Reactive Monitoring Alerts
| Reactive Monitoring Alerts | Wave Predictive Alerts | |
|---|---|---|
| Detection Timing | Alert after problems occur (CPU > 80%, disk > 90%) | Alert days/weeks before predicted problems occur |
| Actionability | Generic alerts: "CPU high"—unclear what to do | Specific recommendations: "Apply Smart Sizing to save 40%" |
| Alert Noise | High false positive rate, alert fatigue common | ML-filtered alerts based on actual risk and impact |
Key Outcomes & Benefits
Get weeks of notice before capacity or reliability issues
Reduce MTTR with actionable recommendations
Eliminate false positives with ML-driven risk assessment
How It Works
1. Insight Generation
All Insights features (forecasts, analysis, detection) generate potential alert conditions.
2. Risk Scoring
ML models score each condition by severity, impact, and probability.
3. Notification Delivery
Alerts delivered via Slack, email, PagerDuty, or webhook with context and recommendations.
4. Action Tracking
Track alert acknowledgment, action taken, and outcome for continuous improvement.
Shift from Reactive Alerts to Predictive Operations
Get advance warning of issues with actionable recommendations.
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