Survey on Online Log Parsers

Technological dependence is growing in leaps and bounds as days progress. As a result, software applications are required to be up running at all times without fail. The health safety of these need monitored regularly by theuse constant logging any faults that occur their runtime executions. Log analysis techniques applied recorded logsto obtain better overview how handle failures deterioration. Before algorithms can utilized practice, the raw unstructured logs converted into structured log events. This process performed parsers, which accessible two different modes – offline online. While parsers have predefined knowledge base containing templates conversion rules, online learn new on job. paper focuses surveying creating comparative study parses analysing type technique used, efficiency accuracy parser given dataset, time complexity, effectiveness motivating applications.