Abstract: A system and a method for grouping log lines in application log file is presented. The system uses logging framework code instrumentation in order to obtain a relation between the actual log line and the place in source code from which a method responsible for writing the line has been called. As the all information on the relation is stored in external metadata files, the structure of the log files remains unchanged. Using the above mentioned metadata and a raw log file, each log line in the file can be assigned to a group related to the place in source code from which the line has been logged, by the system. Next such a grouped log file can be displayed to the user in order to simplify the analysis of the application behavior.

Abstract: A system and a method for grouping log lines in application log file is presented. The system uses logging framework code instrumentation in order to obtain a relation between the actual log line and the place in source code from which a method responsible for writing the line has been called. As the all information on the relation is stored in external metadata files, the structure of the log files remains unchanged. Using the above mentioned metadata and a raw log file, each log line in the file can be assigned to a group related to the place in source code from which the line has been logged, by the system. Next such a grouped log file can be displayed to the user in order to simplify the analysis of the application behavior.

Abstract: A performance monitoring and management system is provided for monitoring both server side and network side performance parameters of overall communication between distributed system components. The system can track availability of system component as well as detect problematic topology connections caused by failed or overload elements. The monitoring system combines information from operating system's internal data structures and APIs with information available in raw communication data streams as available at each end of communication channel.

Abstract: A performance monitoring and management system is provided for monitoring both server side and network side performance parameters of overall communication between distributed system components. The system can track availability of system component as well as detect problematic topology connections caused by failed or overload elements. The monitoring system combines information from operating system's internal data structures and APIs with information available in raw communication data streams as available at each end of communication channel.

Abstract: A performance monitoring and management system is provided for monitoring both server side and network side performance parameters of individual distributed transactions. The system uses correlation data which is transferred over a computer network to identify corresponding sender/receiver parts of a distributed transaction. Both server side tracing data and correlation data is transferred to an external correlation and monitoring server that creates per transaction end-to-end tracing data. Network probes are installed in the network infrastructures which monitor network conditions, like e.g. data transferred. Those network probes are configured in a way to identify and extract the correlation data used by the monitoring system and to tag created network measurements with this correlation data. Those tagged network measurements are then used to augment the per transaction end-to-end tracing data with corresponding network measurements.

Abstract: A performance monitoring and management system is provided for monitoring both server side and network side performance parameters of individual distributed transactions. The system uses correlation data which is transferred over a computer network to identify corresponding sender/receiver parts of a distributed transaction. Both server side tracing data and correlation data is transferred to an external correlation and monitoring server that creates per transaction end-to-end tracing data. Network probes are installed in the network infrastructures which monitor network conditions, like e.g. data transferred. Those network probes are configured in a way to identify and extract the correlation data used by the monitoring system and to tag created network measurements with this correlation data. Those tagged network measurements are then used to augment the per transaction end-to-end tracing data with corresponding network measurements.