Alert storms, false-positives, and flappy alerting are among the biggest challenges of monitoring modern infrastructure in the cloud. How can you tell if a change is normal, an anomaly, a threat, or an emergency? Can you afford for pagers to get turned off after one too many false alarms in the middle of the night?
Analytics as the Source of Truth
Eliminate the false alarms and alerting fatigue of simplistic health checks. Alert on any metric that matters to your use case. Evolve your signal and thresholds as services and infrastructure change.
Start with Recommended Detectors for any chart, and choose from a library of built-in alerts for every integration
Monitor any combination of incoming data and derived metrics, including percentile, variance, and rate of change
Compare to meaningful historical patterns and populations
Edit alerting without a PhD or learning a query language
Create custom analytics pipelines via API in expert mode
“A big part of keeping Clever performing has been alerting that lets us see and respond to the growth on our systems. Almost all of our alerts are on derived metrics from custom analytics in SignalFx.”
Identify, isolate, and act on patterns before they affect availability. A single source for intelligent alerting eliminates silos so that your team can communicate, remediate issues, and preserve SLAs.
Notify via PagerDuty, VictorOps, HipChat, Slack integration