Abstract: Log messages are compressed, searched, and decompressed. A dictionary is used to store non-numeric expressions found in log messages. Both numeric and non-numeric expressions found in log messages are represented by placeholders in a string of log “type” information. Another dictionary is used to store the log type information. A compressed log message contains a key to the log-type dictionary and a sequence of values that are keys to the non-numeric dictionary and/or numeric values. Searching may be performed by parsing a search query into subqueries that target the dictionaries and/or content of the compressed log messages. A dictionary may reference segments that contain a number of log messages, so that all log message need not be considered for some searches.

Abstract: A log of execution of an executable program is obtained. Log messages contained in the log are parsed to generate object identifiers representative of instances of programmatic elements in the executable program. Relationships among the object identifiers are identified. A representation of identified relationships is constructed and outputted as, for example, a visual representation.

Abstract: Existing program code, which is executable on one or more computers forming part of a distributed computer system, is analyzed. The analysis identifies log output instructions present in the program code. Log output instructions are those statements or other code that generate log messages related to service requests processed by the program code. A log model is generated using the analysis. The log model is representative of causal relationships among service requests defined by the program code. The log model can then be applied to logs containing log messages generated by execution of the program code, during its normal operation, to group log messages for improved analysis, including visualization, of the performance and behaviour of the distributed computer system.

Abstract: Existing program code, which is executable on one or more computers forming part of a distributed computer system, is analyzed. The analysis identifies log output instructions present in the program code. Log output instructions are those statements or other code that generate log messages related to service requests processed by the program code. A log model is generated using the analysis. The log model is representative of causal relationships among service requests defined by the program code. The log model can then be applied to logs containing log messages generated by execution of the program code, during its normal operation, to group log messages for improved analysis, including visualization, of the performance and behavior of the distributed computer system.