EZalert is our software solution based on sophisticated machine learning algorithms that can be trained to classify SCOM alerts and filter out potential SCOM alert storms caused by false positives.
During Microsoft Ignite 2016 in Atlanta, we were very happy to launch our AI solution EZalert for advanced SCOM alert closing. EZalert is our software solution based on sophisticated machine learning algorithms that can be trained to classify SCOM alerts and filter out potential alert storms caused by false positives. This keeps the Active Alerts view of the Operations Manager console free of irrelevant alerts.
Machine Learning & SCOM Alert Closing
The machine learning component allows EZalert to learn from the SCOM administrator and mimic his or her behavior when automatically closing irrelevant SCOM alerts. EZalert is also fully compatible with SCOM 2016. Click here to request a free trial for EZalert.
If you already have access to our customer area, you can download EZalert and try it yourself.
EZalert V 0.9.2.0 Updates
To make SCOM alert closing easier for you, from now on it’s possible to add a license key through the UI. We’ve also made sure to enable SCOM administrators to exclude any rule or monitor that generates alerts in system center by adding a new Exclusion tab.
Furthermore, we have the following additions:
- The possibility to set an user account for the services during an installation.
- Refactored UI text and labels.
- UI performance improvements.