Early Issue Detection
Identify unusual behavior before it becomes an incident or downtime.
Anomaly Detection
Spot unusual patterns early with intelligent AI monitoring
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How Anomaly Detection helps
Reduced False Alerts
AI filters out noise, alerting only when something truly deviates from normal.
AI-Powered Learning
AI-Powered Learning AI learns your system's normal patterns to detect anomalies that fixed thresholds might miss.
Let’s anomaly detection level up your monitoring
1
Log in your Bubobot account
Access your Bubobot account to choose your detection method (anomaly or threshold)
2
Configure alert conditions
Set alerts when failure rate exceeds limits over defined time
3
Get smart anomaly alerts
Receive notifications only when true anomalies occur, not false alarms.
When creating or editing a monitor, select the Anomaly Detection tab and choose between two powerful options:
- Bubobot AI: Our intelligent system that automatically learns your service patterns and detects anomalies based on your chosen sensitivity level (e.g., 80% means alerting when metrics drift 80% from normal)
- Threshold: Set specific static values (like 5000ms response time) as your performance boundary
With either option, you can customize when alerts trigger by setting what percentage of checks must exceed limits and for how long.
Bubobot AI collects response time data for 14 days to understand your application's normal behavior patterns, including daily cycles, weekly patterns, and typical variability before activating anomaly detection.
Threshold-based anomaly detection works immediately. AI-powered detection requires 14 days of historical data to establish accurate baselines.