Abstract: Various aspects of the disclosure relate to bi-directional hybrid-feedback driven self-healing and self-scaling language transpiler system may include bi-directional hopping to support multi language transpilation, automatic conversion of a mapping into a transformation specification, a hybrid feedback mechanism to update the transformation mappings, automatic scaling and/or creation of enterprise wide mapping and token (e.g., grammar) vocabulary, and/or a self-healing and/or corrective translation capability to perform automatic correction of any partial transpilations over time from a learned mapping.

Abstract: Methods, systems and computer program products for monitoring and analysis of network servers and web analytics programs are disclosed. A monitoring program, for example, is configured to monitor the status of web analytics program(s) associated with one or more network servers. The monitoring program may monitor server-specific metrics such as server free disk space, server available memory, server on-line/off-line status, report processing time, difference between system time and log file time, table size details, etc. The program may be configured to present status indicators to the user that are indicative of the health of the web analytics program and/or server. A user may receive an alert generated by the monitoring program regarding a change in web analytics program status. Additionally, the monitoring program may be configured to automatically take corrective action to remedy or prevent a critical event that may cause loss of data or delay web analytics reporting.

Abstract: Methods, systems and computer program products for monitoring and analysis of network servers and web analytics programs are disclosed. A monitoring program, for example, is configured to monitor the status of web analytics program(s) associated with one or more network servers. The monitoring program may monitor server-specific metrics such as server free disk space, server available memory, server on-line/off-line status, report processing time, difference between system time and log file time, table size details, etc. The program may be configured to present status indicators to the user that are indicative of the health of the web analytics program and/or server. A user may receive an alert generated by the monitoring program regarding a change in web analytics program status. Additionally, the monitoring program may be configured to automatically take corrective action to remedy or prevent a critical event that may cause loss of data or delay web analytics reporting.