AI-POWERED MONITORING

Detect anomalies
before they become outages

Bubobot AI learns your infrastructure's normal behavior and detects unusual patterns before users notice. Stop reacting to incidents—start preventing them.

AI baseline learning visualization showing normal traffic patterns being analyzed over time

Automatic Baseline Learning

AI learns what "normal" looks like for your infrastructure. No manual thresholds—it adapts to your traffic patterns automatically.

Anomaly detection pattern visualization showing detected deviation from normal behavior

Pattern Recognition Engine

Catch subtle deviations that static thresholds miss. Detect slow degradation and unusual spikes before users notice.

Predictive alert graph showing metrics trending toward threshold with early warning indicator

Predictive Alerting

Get warnings before thresholds are breached. Know when metrics are trending toward critical levels with time to act.

Alert comparison showing filtered noise vs genuine anomaly alerts

Intelligent Noise Reduction

Reduce alert fatigue by up to 70%. Only get notified when something genuinely requires attention.

Two detection modes for complete coverage

AI-powered and threshold-based detection modes comparison showing automatic baseline learning and custom threshold configuration

Anomaly detection
for every scenario

Traffic Spike Detection

Catch unusual traffic patterns before they cause outages.

Slow Degradation

Detect gradual performance decline that thresholds miss.

Seasonal Awareness

AI learns weekly and monthly patterns to reduce false alarms.

Response Time Anomalies

Alert when response times deviate from learned baseline.

Error Rate Spikes

Catch sudden increases in error rates automatically.

Capacity Planning

Predict when metrics will breach thresholds.

Built for
real-world infrastructure

Bubobot AI is designed by engineers who've been on-call. Every feature exists to reduce noise, surface real issues, and help you sleep better at night.

View Full Feature List

20-Second Detection Cycles

Catch deviations in seconds with 20-second check intervals.

Seasonality Awareness

Learns daily, weekly, and monthly patterns to avoid false alarms.

Per-Environment Sensitivity

Set different thresholds for production, staging, and dev.

Historical Context

Correlate anomalies with incidents to find root causes faster.

Maintenance Window Suppression

Auto-suppress alerts during scheduled maintenance.

Webhook & Integration Support

Slack, PagerDuty, email, SMS, and 20+ integrations.

Protecting critical infrastructure worldwide

Quickom Events
During live events, every second of downtime means lost ticket sales and frustrated attendees. Bubobot's anomaly detection warned us of a database slowdown 10 minutes before our biggest event—we scaled up and avoided disaster.

Quickom Events Tech Team

Amybot
Our AI agents handle millions of conversations. When our inference servers slow down, users notice immediately. Bubobot's performance tracking helps us maintain sub-second response times across all our AI endpoints.

Amybot Engineering Team

Xperise
Our AI booking engine has complex performance patterns. Bubobot learned what's normal and alerts us when response times deviate—catching issues our static thresholds would miss.

Xperise Engineering Team

Still setting manual thresholds?

UptimeRobot and Pingdom don't offer AI anomaly detection at any price. Bubobot includes it free—even on the free tier.