Automatically enrich and assign action and workflow without the use of static rules.
It is cumbersome and time-consuming to manage and maintain rules. Rules are static and quickly become outdated, especially in modern environments. However, most AIOps solutions and traditional event management systems require the use of substantial rules to manage workflow, automations and actions. Grok takes a different approach.
Rather than use rules, Grok utilizes machine learning classification algorithms to do the heavy lifting. The unsupervised machine learning algorithms automatically build classification models based on both real-time and historical detections. When a new detection is encountered, Grok automatically enriches, classifies and assigns workflows and actions based on this new model. Each time a new detection type arises, it is automatically associated with an incident type, specific label, category, likely root cause, assignment, and workflow. There is no need for manual intervention. As new problems are encountered, traditional tools would require new rules to be created to support this specific workflow. Grok intelligently categorizes and classifies each detection to ensure your teams remain agile, properly utilized and don’t get bogged down with ongoing rules maintenance.