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Introducing Dynamic Thresholds

Smarter, adaptive monitoring for real-time production environments

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Detect anomalies earlier. Reduce noise. Resolve issues faster.

Dynamic Thresholds from ITRS Geneos brings intelligent, context-aware alerting to your hybrid IT estate – helping operations teams stay ahead of emerging issues without drowning in false positives.

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Why Dynamic Thresholds?

As modern trading environments and financial systems scale in complexity, static thresholds fail to keep pace. They miss meaningful deviations and flood teams with alerts that don’t matter. 

Dynamic Thresholds uses AIOps-driven baselining to continuously learn your system’s normal patterns and automatically adjust thresholds. The result:

  • Fewer false positives – Focus only on what’s truly abnormal
  • Faster detection – Spot deviations in real-time before they escalate
  • Reduced manual tuning – Let the system adapt as your environment changes
  • Enhanced operational resilience – Stay compliant and avoid major incidents
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Key features

Adaptive baselining

Learns seasonality and patterns in your data across trading days, weekends, or regulatory cutoffs. (e.g., adjusts thresholds automatically for 4 daily trading peaks).

Multi-layer modeling

Models at different granularities (e.g., 5-minute intervals, hourly trends) to capture both sudden spikes and slow drifts.

Real-time learning 

Ingests live data to refine thresholds continuously – no static rules to maintain.

Seamless integration 

Works natively in Geneos 7 across on-premises, cloud, and hybrid architectures.

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Use Cases

1. Detect sudden transaction volume surges

A Tier 1 bank’s trading support team identifies unusual spikes in FIX message rates minutes before cascading failures.

2. Prevent overnight batch failures

Catch slow drifts in processing times during end-of-day settlements that static thresholds overlook. 

3. Monitor market data feeds with confidence 

Model normal latency patterns for volatile market events and flag true anomalies without over-alerting. 

4. Reduce regulatory risk 

Stay ahead of compliance SLAs by detecting subtle degradations in service before customers are impacted.

Ready to take the next step? 

Book a demo – See Dynamic Thresholds in action for your environment