Smarter alerting with AI
Let Your Data Define the Baseline
Dynamic Thresholds automatically detect normal behavior for any metric and alert only when behavior truly deviates—reducing alert noise while surfacing real issues faster.
Why Dynamic Thresholds
Stop chasing false alarms
Dynamic Thresholds use machine learning to automatically learn what’s normal for every metric, so your team can focus on meaningful anomalies, not meaningless noise.
Reduce noise by suppressing false positives—no more static thresholds that overreact to natural fluctuations.
Dynamic Thresholds continuously learn from historical behavior and adapt to changes in real time—without manual tuning.
Escalate only when there’s a meaningful deviation—helping your team prioritize the incidents that actually need attention.
What you can do with Dynamic Thresholds
AI-driven alert tuning, without the manual work
Dynamic Thresholds take the guesswork out of alerting by automatically adjusting to real-world behavior—so your alerts stay accurate, relevant, and actionable.
Understand what’s “normal” for every datapoint
LogicMonitor continuously analyzes historical data to learn typical usage patterns and trends for every metric you monitor.
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Account for seasonal shifts Detect patterns that repeat daily, weekly, or monthly—no need to guess or hard-code.
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Built-in baselining Every threshold is informed by actual observed performance, not a static assumption.
Thresholds that adapt in real time
As usage patterns change, thresholds automatically adjust—no manual tuning required.
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Respond to dynamic environments Cloud-native and hybrid environments shift fast—your thresholds should, too.
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No config drift Eliminate the risk of stale or irrelevant alert settings over time.
Reduce false positives at scale
Alert only when there’s a meaningful deviation, not just a minor spike or expected fluctuation.
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Fewer distractions Free your teams from chasing alerts that don’t matter.
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Faster mean time to resolution Stay focused on signals, not noise—improving incident response efficiency.
Override or fine-tune when needed
Dynamic Thresholds are flexible—easily override or revert to static thresholds at any time.
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Manual override Maintain full control for business-critical resources or known edge cases.
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Roll back with a click Switch back to previous thresholds without losing context.
Built-in intelligence, no extra setup
Dynamic Thresholds are integrated directly into LogicMonitor’s alerting engine—just enable and go.
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No code, no scripts No special configuration or ML knowledge required.
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Scales with your environment Whether you’re monitoring 10 or 10,000 metrics, Dynamic Thresholds work instantly across the board.
