If you are an IT admin managing devices all over the globe, you know that the modern workplaces are dynamic… and noisy. When hunting for issues in your environment, the sheer volume of notifications often makes it impossible to know what to prioritize.
While static thresholds are useful and valuable, they are no longer enough to provide a full picture of the modern digital workplace. When every minor variation triggers a ping, IT teams can feel overwhelmed by “alert fatigue” and spend valuable time with manual tuning
Imagine this: It’s Monday morning at 9AM. You keep receiving “High CPU” notifications as everyone logs in. This behavior is perfectly normal for your environment, but because a static threshold doesn’t recognize this pattern, you are inundated with false positives.
We’ve heard this from customers time and again: they need additional alerts tuned to their specific environment. They need a system that learns what’s normal for them so it can highlight only what is truly unusual. This is why we developed Anomaly Detection Alerts— to complement static alerts in your environment.
Modern IT environments are fluid ecosystems where “normal” varies by the hour. In these dynamic environments, static thresholds may not adapt to natural fluctuations or catch early warning signs of unusual behavior.
Of course, there are situations that require a static threshold. For instance, 0% free disk space should always trigger and alert, regardless of historical patterns. But this is no longer enough.
When your alerting system does not also adapt to environmental context, you face two major challenges:
Alert Fatigue: Teams are overwhelmed by predictable spikes in usage (like login storms). Over time, this “noise” leads to desensitization, causing admins to tune out and lose focus on critical issues.
The “Slow Burn” Risk: Real problems—like gradual memory leaks or performance degradation—often develop slowly. Because these issues don’t always cross a sudden, arbitrary “tripwire,” they remain hidden until they impact a large number of users.
By using anomaly detection to complement static alerts, you can reduce the noise and focus on the issues that truly impact your environment.
To address these challenges, we are introducing Anomaly Detection Alerts.
This behavior-based alerting capability is designed to learn the unique baseline of your specific environment. Instead of checking against a rigid, fixed number, it triggers alerts when it detects a significant deviation from that established baseline. Because it is built to adapt as your environment and usage patterns evolve, it serves as the flexible and complementary tool to static thresholds.
Anomaly Detection Alerts are designed to reduce alert noise, require minimal tuning, and catch issues static thresholds may miss.
We know that IT teams expect proactive notifications and complete visibility. By adding a behavior-based model to our alerting features, we allow you to take the unique pulse of your environment.
Determine Intent: We’ve prioritized minimal manual tuning for anomaly detection alerts to align with modern observability standards. We empower you to set the intent—defining what matters and the desired sensitivity—while the system handles the baselining.
Contextual Awareness: This design recognizes that a spike in usage isn’t inherently a problem—it’s only a concern if it’s “out of character” for your specific infrastructure. By prioritizing behavior, Anomaly Detection Alerts filter out predictable daily noise, ensuring your team remains focused on genuine disruptions.
As a first-class capability within our DEX platform, Anomaly Detection Alerts bring sophisticated observability directly to your fingertips.
The goal of Anomaly Detection Alerts is to give IT teams their time back. By adding dynamic, behavior-based alerts, you can stay aware of important deviations and shift your focus from “managing the noise” to “driving the business.”
To see the future of alerting in action, schedule a demo with us today!