Sap Se

Sap Ag

Rolf Schimpfky

Christian Martick

Mario Andy Mueller

Heiko Braumann

Thomas Dubiel

Richard Pahner

Methods, systems, and computer-readable storage media for receiving a record including a set of attributes, each attribute having an attribute value, the record representing automatic execution of an IT process within a managed system, retrieving a model representing historical executions of the IT process and including a set of distribution parameters associated with a first type of attribute and a set of probability distributions associated with a second type of attribute, determining, for a first attribute, a first score based on distribution parameters and a value, determining, for a second attribute, a second score based on a probability distribution and a value, the second attribute being of the second type of attribute, and selectively indicating that the IT process is anomalous based on an outlier score.

Anomaly detection for automated information technology processes

Status of software product(s) may be monitored through the cloud by Extract, Transform, Load (ETL) of status information, in the form of business process status indicators from customer tenants. Examples of such status indicators can include a backlog of tasks to be fulfilled, or a number of business documents present in specific processing states, which describe aspects of the business application and allow an understanding of the overall status of the monitored application. A data extractor component of a customer tenant may extract and transform the status indicators from a plurality of business documents. A data import framework of a central monitoring system may in turn employ mapping to condense that heterogeneous data into a monitoring-specific simplified status model.

Software product management through the cloud

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Dresden, Germany

Rolf Schimpfky