Search Results for "event log"

Fluent Bit is a super-fast, lightweight, and highly scalable logging and metrics processor and forwarder. It is the preferred choice for cloud and containerized environments. A robust, lightweight, and portable architecture for high throughput with low CPU and memory usage from any data source to any destination. Proven across distributed cloud and container environments. Highly available with I/O handlers to store data for disaster recovery. Granular management of data parsing and routing....

...So the module now supports a module parameter codes which shows the keycode shift_mask pair in hex (codes=1) or decimal (codes=2). You can lookup the keycodes in /usr/include/linux/input-event-codes.h. The keypress logs are recorded in debugfs as long as the module is loaded. Only root or sudoers can read the log. The module name has been camouflaged to blend-in with other kernel modules. You can, however, execute a script at shutdown or reboot (the procedure would be distro-specific) to save the keys to a file. ...

NXLog is a modular, multi-threaded, high-performance log management solution with multi-platform support. In concept it is similar to syslog-ng or rsyslog but is not limited to unix/syslog only. It can collect logs from files in various formats, receive logs from the network remotely over UDP, TCP or TLS/SSL . It supports platform specific sources such as the Windows Eventlog, Linux kernel logs, Android logs, local syslog etc. Writing and reading logs to/from databases is also supported....

Logpp is a tool for preprocessing event logs and feeding relevant data to other programs for storing or in-depth analysis. Logpp reads lines appended to input files, matches the lines with patterns, and writes the results to given destinations.

Project Lasso is Windows-based open source software designed to collect Windows event logs, including custom application logs, and provide central collection and transport of Windows log data via UDP/TCP syslog.

Logjam is for log monitoring and log analysis in a cluster computing environment. It's unique contribution is the ability to recognize a distributed event accross many cluster nodes and summarize the event concisely.