5.3.2 Programmable Alerts
7.3 Data Management and Data Model Handling
7.3.4 Working with Data Model
7.4 Control Center
7.4.1 License Entitlements
7.5 Platform Settings
Configuring RCABot and ML Models > Event Correlation
Event Correlation is a sub-module that helps customers optimize their time while investigating potential downtimes and failures inside the application.
The correlation module helps by analyzing a plethora of alert streams from different sources and correlating them by various factors which include data and domain and reducing the noise.
This helps in reducing the false positives to the maximum extent and suppresses the events/ alerts fatigue which greatly helps operators and respective teams to improve the MTTR.
Click on vuCoreML on the Toggle Menu and navigate to the RCA Workspace section.
The workspaces page shows a list of previously configured Workspaces. Click on the + icon to create a new Workspace.
You can now configure the workspace; the workspace comprises 3 major sections
Enter the Workspace Name, and Description, and select the Category as Event Correlation.
Click on Save to create the Workspace.
Once Workspace is created, you will be directed to the Event Sources page, where you can add events by selecting the Event Data Model.
Click on Save to move to the next step.
After successfully configuring Event Sources, you will be directed to the Settings page.
It has 4 major sections.
This is the first section and it allows you to configure notification types. It supports Email and WhatsApp notifications.
Email: Enter the Recipient’s email address. Use commas to add multiple IDs. You could also add an Email group to notify a set of people.
WhatsApp: Enter the Recipient’s mobile. Additionally, you can add a WhatsApp group to notify a set of people.
This is the second section of the Settings page. It has 2 main segments – Training and Inference.
Note: A new user may choose to leave the default settings unchanged
This is the third section of the Settings page. You must choose the start time and end time of the data that must be utilized to train the algorithm.
Please select the larger range of data for the first run so that the algorithm is able to learn the rules.
Note: The larger the data training the more the algorithm will take a significant amount of time to learn the rules.
This is the last section of the settings page. The event correlation algorithm runs in a scheduled fashion. You can use this page to adjust how frequently training and inference jobs must run.
Click on the Save button to complete the Event Correlation configuration.
The resultant correlated and suppressed alerts/events will be visible on the vuSmartMaps’ Alerts Console.
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