Skylar AI
Skylar AI is a software services suite powered by artificial intelligence (AI) that is designed to automatically manage, anticipate, and prevent IT incidents. Skylar AI reasons over telemetry and the stored knowledge of an organization to deliver accurate insights, recommendations, and predictions.
Documentation for the following Skylar components is available:
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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. The tools include Data Visualization, Data Exploration, Anomaly Detection, and Predictive Alerting. You can access these tools in the Skylar AI user interface, in SL1, and also in the Skylar AI API.
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Skylar Automated RCA. Uses unsupervised machine learning on logs to automatically find the root cause of software problems. It does not require manual rules or training, and it typically achieves accuracy within 24 hours. As Skylar Automated RCA ingests logs, the Skylar artificial-intelligence (AI) engine analyzes the logs, looking for abnormal log line clusters that resemble problems, such as abnormally correlated rare and error events from across all log streams.
Skylar Automated RCA was previously known as "Zebrium" and "Zebrium Root Cause as a Service (RCaaS)".
To view the latest release notes, see the Skylar AI Release Notes.
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