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Alert Received
PagerDuty: Checkout Service Latency > 2s
Automated Analysis
Correlated: Redis CPU Spike + Deploy v4.2
Root Cause Identified
Error: Connection Limit Exceeded (Redis)
See Rezmo in Action
Watch how Rezmo investigates a "Payment Service Limit" incident in real-time.
New Alert: #incidents
payment-service.Create time: 10:42 AM | P99: 4500ms (Threshold: 500ms)
> Rezmo AI Agent auto-assigned. Starting investigation...
Analysis: Metrics (Prometheus)
> Querying `rate(http_request_duration_seconds_bucket[5m])`...
> Anomaly Detected: 400% spike in P99 latency starting at 10:42 AM.
Analysis: Logs (OpenSearch)
> Filtering logs for `service=payment-service` around 10:42 AM...
> Insight: High volume of timeouts connecting to external downstream service.
Analysis: Traces (Jaeger)
> Visualizing Span `trace_id=abc-123`
> Trace confirms the bottleneck is fraud-check-service.
Root Cause Identified
Conclusion:
The payment-service is healthy but blocked by fraud-check-service.
Evidence:
- Metrics show correlation with new deployment of `fraud-check-v2`.
- Logs indicate connection timeouts (5000ms).
Suggested Remediation:
AI Powered Investigation
Rezmo's AI agent autonomously queries your logs and traces, mimicking a senior SRE's investigation workflow at machine speed.
Multi-Source Correlation
We connect the dots between APM metrics, infrastructure logs, and change events (CI/CD) to find the smoking gun.
Auto Alert Analysis
Stop drowning in noise. Rezmo groups related alerts and delivers a single, high-confidence Root Cause Analysis report.