Skylar Analytics

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Skylar Analytics contains a set of tools that lets you view, analyze, and use the data that SL1 gathers and sends to the Skylar AI engine. Skylar Analytics insights are presented in the SL1 user interface, in a ScienceLogic-hosted instance of Apache Superset, and in the Skylar AI API.

Skylar Analytics includes the following components:

  • Data Visualization contains dashboards and charts based on data gathered by Skylar AI and SL1. Currently, this data includes server-focused metrics and basic network interface metrics, with more metrics planned for future Skylar updates. Please note that the dashboards in Business Intelligence (BI) tools are independent of SL1 dashboards or reports. Data Visualization is achieved using a ScienceLogic-hosted instance of Apache Superset or with your own third party tool.
  • Data Exploration enables third-party tools that use the Microsoft Open Database Connectivity (ODBC) interface to access the metric data from Skylar AI. This component lets you use ODBC to connect Skylar AI data with applications like Tableau, Microsoft Power BI, or other business intelligence tools. For Skylar Beta, this feature is not yet available.
  • Anomaly Detection uses Skylar AI to identify unusual patterns that do not conform to expected behavior. Anomaly Detection provides always-on, unsupervised, machine-learning-based monitoring that automatically identifies unusual patterns in the real-time performance metrics and resource data that it observes. Anomalies do not necessarily represent problems or events to be concerned about; rather, they represent unexpected behavior that might require further investigation.
  • Predictive Alerting generates events in SL1 that forecast when a future event could happen, instead of reporting on an event that has already occurred. SL1 will display capacity predictions and even automate run book automations based on anticipation of out-of-capacity events before they become a production issue. Predictive alerts are based on real-time data analyzed by Skylar AI against expected device metrics.

The following video provides an overview of the different features of Skylar Analytics: https://player.vimeo.com/video/990317575?h=74e1aca2bf