Sawmill is a Atlassian Confluence log analyzer (it also supports the 1021 other log formats listed to the left).
It can process log files
in Atlassian Confluence format, and generate dynamic statistics from them,
analyzing and reporting events.
Sawmill can parse Atlassian Confluence logs, import them into a MySQL, Microsoft SQL Server, or Oracle database (or its own built-in database),
aggregate them, and generate dynamically filtered reports, all through a web interface.
Sawmill can perform Atlassian Confluence log analysis on any platform, including Windows, Linux, FreeBSD, OpenBSD, Mac OS, Solaris, other UNIX, and others.
Sawmill stores the following non-numerical fields in its database for Atlassian Confluence, generates reports for each field, and allows dynamic filtering on any combination of these fields:
|Field|| ||Internal Name|
| ||date/time|| ||date_time|
| ||day of week|| ||day_of_week|
| ||hour of day|| ||hour_of_day|
| ||level|| ||level|
| ||thread|| ||thread|
| ||class|| ||class|
| ||message|| ||message|
| ||operation|| ||operation|
| ||user|| ||user|
| ||URL|| ||url|
| ||file type|| ||file_type|
| ||source IP|| ||source_ip|
| ||location|| ||location|
Sawmill stores the following numerical fields in its database for Atlassian Confluence, aggregating them and including them as columns in most reports:
|Numerical Field|| ||Internal Name|
| ||events|| ||events|
See Sawmill Features to learn more about Sawmill's options for viewing, customizing, filtering, exporting and scheduling Atlassian Confluence reports.
Sawmill also supports 1021 other log formats.