Search Results for "kernel-module-ntfs"

...Autologging provides two decorators and a custom log level: "autologging.logged" decorates a class to create a __log member. By default, the logger is named for the class's containing module and name (e.g. "my.module.ClassName"). "autologging.traced" decorates a class to provide automatic CALL/RETURN tracing for all class, static, and instance methods, as well as the special __init__ method (by default) "autologging.TRACE" is a custom log level (lower than logging.DEBUG) that is registered with the Python logging module when autologging is imported

A wrapper for Python's standard logging module to provide a file-like interface. Allows legacy code that wishes to log to a file (including stdout and stderr) to use the logger facility.

Module to allow for reading lines from a continuously-growing file (such as a system log). Handles log files that get rotated/trucated out from under us. Inspired by the Perl File::Tail module.

Compiere-NMA is a compiere module for network monitoring, pbx cdr, accounting and billing. Target is to provide the needed infrastructure for providers and companies needed to monitor and bill IP networks based on Compiere ERP + CRM.

Uberviewer is a java/swt log processor for Uberlogger (a kernel-based observatory). It allows real-time analysis of a remote OS, including process and I/O monitoring. This tool is intended to be helpful for security researchers and malware analysts.

This perl script, Peril, uses the Perl module File::Tail to tail the syslog file (or any other file for that matter) and inserts the lines into a MySQL database using DBI. It includes a quick phpMyEdit generated page to view the logs through a browser an

USRBAC is a kernel patch and userspace daemon that allows role based access control to be mitegated in userspace. The goal is to allow a secure way to impliment RBAC compliant security systems using a daemon in userspace

SpreadAppender is a log4j appender module that broadcasts log messages over a local multicast network using the Spread API. It is very efficient and perfect for clusters of network applications. Your sysadmin will thank you for it.