Abstract: An event processing system for processing events in an event stream is disclosed. The system is configured for determining a stage for a continuous query language (CQL) query being processed by an event processing system and/or determining a stage type associated with the stage. The system is also configured for determining a transformation to be computed for the stage based at least in part on the stage type and/or determining a classification for the CQL query based at least in part on a plurality of rules. The system can also be configured for generating a transformation in a Directly Acyclic Graph (DAG) of a data transformation pipeline for the stage based at least in part on the partitioning criteria for the stage. In some examples, the system can also be configured for determining a partitioning of the stage based at least in part on the transformation.

Abstract: A system and method for facilitating integrating software systems. An example method includes generating a test dataset (also called instance dataset herein); inputting the test dataset to a first software system and a second software system that are to be integrated; triggering a first set of one or more source messages (also called target messages herein) from the first software system and a second set of one or more source messages from the second output message based on the test dataset; receiving the first set of one or more source messages and the second set of one or more source messages; and analyzing the message sets to determine a mapping sufficient to translate messages exchanged between the first and second software systems, such that the messages are readable thereby.

Abstract: A system and method for facilitating integrating software systems. An example method includes generating a test dataset (also called instance dataset herein); inputting the test dataset to a first software system and a second software system that are to be integrated; triggering a first set of one or more source messages (also called target messages herein) from the first software system and a second set of one or more source messages from the second output message based on the test dataset; receiving the first set of one or more source messages and the second set of one or more source messages; and analyzing the message sets to determine a mapping sufficient to translate messages exchanged between the first and second software systems, such that the messages are readable thereby.

Abstract: A system and method for facilitating integrating software systems. An example method includes generating a test dataset (also called instance dataset herein); inputting the test dataset to a first software system and a second software system that are to be integrated; triggering a first set of one or more source messages (also called target messages herein) from the first software system and a second set of one or more source messages from the second output message based on the test dataset; receiving the first set of one or more source messages and the second set of one or more source messages; and analyzing the message sets to determine a mapping sufficient to translate messages exchanged between the first and second software systems, such that the messages are readable thereby.

Abstract: Techniques are disclosed for assembling statistics for diagnosing performance and scalability issues in SOA systems. Key statistics related to key points in a SOA system, for key activities during processing of transactions in the SOA system, are collected and aggregated. The statistics may include message flow rates and latency at key points in the system during a time interval, and execution times for key activities in the system during the time interval. The statistics for the time interval may be added to corresponding cumulative statistics, and persisted to storage. Reports may be generated based upon the statistics to present to a user. Automated processes may be implemented to use the statistics to identify the existence and likely cause of SOA application performance issues, and potentially to attempt to remediate the issues.

Abstract: A system and method for facilitating integrating software systems. An example method includes generating a test dataset (also called instance dataset herein); inputting the test dataset to a first software system and a second software system that are to be integrated; triggering a first set of one or more source messages (also called target messages herein) from the first software system and a second set of one or more source messages from the second output message based on the test dataset; receiving the first set of one or more source messages and the second set of one or more source messages; and analyzing the message sets to determine a mapping sufficient to translate messages exchanged between the first and second software systems, such that the messages are readable thereby.

Abstract: An event processing system for processing events in an event stream is disclosed. The system is configured for determining a stage for a continuous query language (CQL) query being processed by an event processing system and/or determining a stage type associated with the stage. The system is also configured for determining a transformation to be computed for the stage based at least in part on the stage type and/or determining a classification for the CQL query based at least in part on a plurality of rules. The system can also be configured for generating a transformation in a Directly Acyclic Graph (DAG) of a data transformation pipeline for the stage based at least in part on the partitioning criteria for the stage. In some examples, the system can also be configured for determining a partitioning of the stage based at least in part on the transformation.

Abstract: Techniques are disclosed for assembling statistics for diagnosing performance and scalability issues in SOA systems. Key statistics related to key points in a SOA system, for key activities during processing of transactions in the SOA system, are collected and aggregated. The statistics may include message flow rates and latency at key points in the system during a time interval, and execution times for key activities in the system during the time interval. The statistics for the time interval may be added to corresponding cumulative statistics, and persisted to storage. Reports may be generated based upon the statistics to present to a user. Automated processes may be implemented to use the statistics to identify the existence and likely cause of SOA application performance issues, and potentially to attempt to remediate the issues.