Open Source Linux Logging Software - Page 23

Regwatch is a regular expression based logfile watcher in perl. It watches a log file, and executes pre-defined actions based on whether the line matches a regular expression defined in the configuration.

watches for Regristry-changes of keys like HKLMSoftwareMicrosoftWindowsCurrentVersionRun etc. and pops up if something has changed, logs it, can ask google for the key found. Protects against Trojans and Viruses.

Debugging server allowing remote debug logging and access to the information via a web based interface.

Using the server/client technology, RLogView enables you to search and track (tail) the log files located on the remote machines using the java based GUI client.

Command line tool that can view multiple log files remotely and blend them into a single output based on the appropriate dates within the log files themselves. Has cat and tail modes available. Support for multiple local/remote protocols

Remote Web Logger is a remote web transaction logging daemon. It operates by passive monitoring of web server traffic to translate web session data to transaction log entries that are written to standard log services such as syslog.

A C library with support for logging, configuration, networking, message specification, semaphores, message queues, SSL, timing, epoll and email functionality.

This project is to create a Linux based Router Configuration Management System for Cisco Routers (initially supporting router IOS 12.0+). The project was written in bash and perl scripting but has now been rewritten in Ruby, and makes use of Linux system

Rule MANagaer for Snort A PHP addon for snort to manage the rulesets on multiple sensors from a central Snort MySQL db. Main Features: Ruleset merging by group from snort CVS. Automatic sensor update from central DB

Rxlogd is a receive-only syslog server (collector) that can coexist with sysklogd. It features simplicity, ease of use and a built-in dns cache for high performance.

SARWeb (System Activity Reporter Web)

SAWS is a Secure Audit Service that cryptographically protects all log messages. It can run as either a standalone web service called SAWS (Secure Audit Web Service) or as a Java Secure Audit Trail Service (JSATS) that is called via a Java API.

SDSC Syslog is a modern reliable replacement for syslogd. It supports the new syslog protocols (RFC 3195) providing support for reliable delivery as well as the older UDP base protocol for backwards compatability.

SETILog saves some statistics of a completed SETI@home work-unit in a text CSV file. This file is needed by SETIWatch to keep track of the completed workunits.

Slogbase is a lightweight database attached to objects in Second Life that provides the same functionality as Apache Web Server logs. It uses ordinary LSL code in Second Life to send sensor data to an external PHP/MySQL application.

SLogger is a simple, compact and fast logfile watching utility.

This software is designed to run on all POSIX system to log SMA Sunny Boy Inverter data into an MYSQL database via RS485 *ONLY*. It includes scripts to display the data using Highcharts via a webpage. If you want to log using bluetooth, i'd recommend you go to code.google.com/p/sma-bluetooth/ Update: July 2011 I haven't worked on this project for a while now and don't intend to do anymore with it. If you wish to take it further, please let me know and you can be the project admin for it :)

This project is a python script to abstract S.M.A.R.T. messages from /var/log/messages (from the smartd daemon) into .csv file(s), one for each disk, suitable for graphing.

SNMPGraph is a simple graphing tool for SNMP information containing a perl script to update the database and a PHP webinterface for viewing the graph. It uses rrdtool and the snmpget command.

This small package contains small bash scripts that will help to monitor ssh log ins to a system. The administrator will received an email address weekly with a small log with the name of the system, user that logged in and the user's IP.

ssl_logger is a Python-based tool that decrypts and logs a target process’s SSL/TLS traffic on Linux and macOS. It attaches to a running process by name or PID and hooks SSL_read and SSL_write calls to capture plaintext data flowing through encrypted connections. Output can be streamed to the console with verbose metadata or written to a PCAP file for later analysis in standard tooling. The utility is powered by dynamic instrumentation using the Frida framework, allowing it to intercept function calls without recompiling or modifying the target binary. Typical workflows include debugging custom clients, validating protocol implementations, or inspecting troubleshooting traces when only an encrypted channel is available. While focused on libssl-based traffic, the project outlines future enhancements for broader TLS library coverage and process-launch capture flows.

STARCAT (STAtiscic Reporting, Collecting and Analysing Tool) is a toolkit to gather statistics out of several sources (for example, rrd-files, logfiles, DBMS,...) and create nice-looking reports out of them using XML-templates.

Experiment tracking in SageMaker Training Jobs, Processing Jobs, and Notebooks. SageMaker Experiments is an AWS service for tracking machine learning Experiments. The SageMaker Experiments Python SDK is a high-level interface to this service that helps you track Experiment information using Python. Experiment tracking powers the machine learning integrated development environment Amazon SageMaker Studio. Experiment: A collection of related Trials. Add Trials to an Experiment that you wish to compare together. Trial: A description of a multi-step machine learning workflow. Each step in the workflow is described by a Trial Component. There is no relationship between Trial Components such as ordering. Trial Component: A description of a single step in a machine learning workflow. For example data cleaning, feature extraction, model training, model evaluation, etc.

The software program (SarBox) parses and analyzes SAR data in charts or text formats. SAR is cumulative activity counters in the operating system. It is the most comprehensive command which helps to monitor performance of various Linux / Solaris subsystems (CPU, Memory, I/O, Disk, Network, etc) all in same log. This makes it difficult to analyze since every counter data is dumped into the log file. SarBox helps to analyze this log file and present data in graphical charts or text format. To collect sar statistics from an environment, use below syntax [user@host ~]# sar -A 30 2 > sar_linux.log “30 2” reports for every 30 seconds and total of 2 times, written in sar_linux.log.

sarPplot simple application which takes output of atsar application and put it into Gnuplot config files , kind of useful on server boxes for performance analyze . cpu,process load,disk,disk-partition,memory & swap,paging & swapping, and many others...