Search Results for "files server"

Beautiful, fast, and open-source viewer for your app logs. Forget scrolling through raw log files to find the errors or debug logs you're looking for. Forget about SSH'ing onto the production server just to read the logs. Log Viewer helps you quickly and clearly see individual log entries, to search, filter, and make sense of your Laravel logs fast. It is free and easy to install.

Screen squid is web-based interface for viewing reports based on Squid proxy server log files. It can be accessed from web-browser through more than 50 reports. No extra files, only DB. All reports generated "on-the-fly". And we got personal cabinet for each user/group.

FWNUA (Free Windows Network User Accounting) runs silently in a Windows login script or GPO and collects data about user logins. FWNUA keeps track of the workstations logins so you don't have to! FWNUA now supports syslog and Splunk! Look for the fwnua - syslog version in the files list. Use Splunk or your own syslog server with data mining tools to create a robust user tracking system. Find our Spunk app on Splukbase: https://splunkbase.splunk.com/app/2773/

A PHP application to search for matching strings in log files. It was mainly designed for usage in a syslog server environment with big log files, where you cannot log to databases due to the size, but to plain text files which will be searched.

AbyssWS Log Splitter is a project created on Saturday, January 20, 2007. It has the ability to quickly split your Server log into seperate log files, seperated by month and year. It uses the "Common Log Format".

This Utility sends site-requests. If the Server is not responding in the given time (loss) an entry is made to a failure-protokol-file. Overview and list of offlinetimes. Edit-function. Graphical view. PDF-Output. Supports Language-Files.

Php Log Analyzer (aka PLA) is a Log Analysis tool for Apache. There are lots of log analyzer softwares available on the internet but most of them have their own data storage ways. PLA is a tool to analyze log files and store results into MySQL databases.