Take control of your system's performance with DataMiner's AI-driven proactive detection. Combined with real-time anomaly detection and automatic pattern recognition, our proactive cap detection feature ensures you're always one step ahead by monitoring trends and preventing issues before they even arise.
By leveraging DataMiner's powerful AI capabilities and alarm template configurations, you can identify potential issues early. In the image below, you can see proactive cap detection in action.
In this example, an early warning message highlights a sudden change in trend behavior. Subsequently, proactive cap detection identifies a second event, alerting you that the RX power is trending towards a critical value range. Along with this alert, the system provides an estimated time for when the threshold is likely to be crossed. Importantly, this isn't an alarm—thanks to proactive detection, you have the opportunity to intervene before it escalates into one.
Proactive cap detection: in the spotlight
The proactive cap detection feature is designed to alert you to potential risks in services, device resources, asset states, and more. By continuously monitoring and predicting trends, this analytics feature fosters a proactive approach, allowing you to address emerging issues before they impact your services. Thanks to the latest updates to DataMiner, this capability has been further enhanced to provide even greater control and flexibility.
Alarm event creation
As of DataMiner version 10.4.12, you can configure alarms to trigger with custom severity levels when the trend prediction engine detects a parameter entering a specific critical range. This enhancement allows for more precise control over the events generated and the alarm thresholds or range values considered critical, ensuring that the system's alerts are better tailored to your specific needs.
User feedback for more accurate detection
From DataMiner 10.5.1 onwards, you can provide feedback on suggestion events and alarms generated by proactive cap detection, just as you can for other anomalous behavior detected in your metrics' trend behavior. By marking an event as relevant or irrelevant to your operations, you help refine the system's detection capabilities and understanding.
Achieve optimal operations
The latest enhancements to proactive cap detection ensure that alerts are now more accurate and relevant to your specific environment and system than ever before. By relying on these alerts, alongside those generated by behavioral anomaly detection and the automatic recognition of specific trend patterns, you can adopt a proactive approach that ensures smooth operations and keeps your system running optimally.
Interested in learning more?
Check out our Augmented Operations course, which will guide you through the different DataMiner proactive detection features.
Alternatively, you can dive right in with our hands-on tutorials.
You might also like
BLOG
Enhance your DataMiner experience with anomaly feedback
DataMiner 10.4.11 brings you a powerful new feature: anomaly feedback! We've designed this innovative tool to significantly improve the accuracy and efficiency of behavioral anomaly detection within your systems.
BLOG
Harnessing AI in DataMiner: Elevate your network management with our new course
Want to enhance your network management with AI-driven efficiency? Check out our new Augmented Operations course! Learn to leverage DataMiner's AI capabilities—from proactive issues detection to streamlined incident response—so you can stay ahead of potential problems and work more effectively.