Abstract: Techniques are provided for artificial intelligence (AI) based application error detection and resolution. Extensive amounts of time and resources are consumed by service providers when attempting to resolve application errors experienced by customers. Unfortunately, a service provider may spend tedious amounts of manual effort to evaluate and solve an error that is already known or already solved. The techniques provided herein reduce the amount of time and resources involved in detecting and resolving errors associated with applications. In particular, an error mapping is generated for a current troubleshooting case to resolve for an application. The error mapping is compared to error mappings of previously resolved troubleshooting cases. If a match is found, then a troubleshooting action associated with a previously resolved troubleshooting case is suggested or executed. Otherwise, a service ticket is created for solving the current troubleshooting cases.

Abstract: Methods, systems, apparatus and computer-readable media are disclosed for creating and using self describing events in automation. A first exemplary method is disclosed that includes querying a plurality of managed components, receiving a response, and processing each response to select event types as triggers for steps in an automated workflow using attributes of events as arguments to workflow steps. This method further discloses the monitoring, detection, and processing of events defined in the workflow. Processing of an event includes creating a machine readable data payload containing event information including the event type, event attributes, and a grammar to which the event conforms. Using the provided grammar, components in the automated workflow can interpret the data payload and perform the actions defined in the automated workflow. Other methods, apparatus, systems and computer readable media are disclosed for presenting event information.

Abstract: Methods, systems, apparatus and computer-readable media are disclosed for creating and using self describing events in automation. A first exemplary method is disclosed that includes querying a plurality of managed components, receiving a response, and processing each response to select event types as triggers for steps in an automated workflow using attributes of events as arguments to workflow steps. This method further discloses the monitoring, detection, and processing of events defined in the workflow. Processing of an event includes creating a machine readable data payload containing event information including the event type, event attributes, and a grammar to which the event conforms. Using the provided grammar, components in the automated workflow can interpret the data payload and perform the actions defined in the automated workflow. Other methods, apparatus, systems and computer readable media are disclosed for presenting event information.