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Red Hat Enterprise Linux on Microsoft Azure
Deploy Red Hat Enterprise Linux on Microsoft Azure for a secure, reliable, and scalable cloud environment, fully integrated with Microsoft services.
Red Hat Enterprise Linux (RHEL) on Microsoft Azure provides a secure, reliable, and flexible foundation for your cloud infrastructure. Red Hat Enterprise Linux on Microsoft Azure is ideal for enterprises seeking to enhance their cloud environment with seamless integration, consistent performance, and comprehensive support.
NCSAnalysis is a simple Web traffic log analysis tool that produces Excel-formatted reports detailing daily unique IP hits to specified site resources and/or directories.
This project has two parts. The first one is a hidden counter (using the 1x1 transparent pixel GIF) which registers into a MySQL database all remote IP addresses (whether IPv4 or IPv6), it tries very hard to use IPv6. The second part shows stats.
This project is devoted to analyze the log lines from the Wikipedia Squid servers by parsing and filtering their information elements according to the directives specified in an XML file. Resulting info is stored in a MySql db for further analysis.
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HubSpot is an AI-powered customer platform with all the software, integrations, and resources you need to connect your marketing, sales, and customer service. HubSpot's connected platform enables you to grow your business faster by focusing on what matters most: your customers.
The Forensics Data Identifier (FDI) is a tool which allows for large data files to be easily filtered for common forensically relevant data types.The tool was intended to speed up the ediscovery and analysis processes of the forensics investigation
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.
This library provides a Ruby interface to Nmap's scan data. This information is presented in an easy-to-use and intuitive fashion for storage and manipulation.
Logbus-ng consists in a set of tools to aid developers perform Log Analysis in all the stages: log generation, collection, distribution, storage and analysis. It is designed specifically for Field Failure Data Analysis in critical distributed systems
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Whether you want full self-service analytics or simpler multi-tenant security, Qrvey’s embeddable components and scalable data management remove the guess work.
Slickster provides tools for viewing and analyzing Log4J logs in a multi-server distributed environment.
Log4J logs are centralized into a database.
Logs are viewed through a browser. Logs can be filtered and monitored in real-time.
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.
The Sparten Log Viewer is designed to allow users to view log files online through a web browser. It is currently based on php and runs on any platform that support standard unix log format, php, and tail.
JMassLogProcess is an next generation SIEM solution, based on high performance syslog and snmp trap collector(up to 20,000 logs/s),Distributed File System(Hadoop),Complex Event Processing Engine and ZK …….
Project's new home: https://github.com/Stunner/FileZilla-Log-Analyzer
Python scripts that filter, parse, mask, and analyze FileZilla Server Log files. Works on Windows, Linux, and Mac systems.
WARNING: NEW VERSIONS ARE BEING POSTED TO GITHUB HERE: https://github.com/Stunner/FileZilla-Log-Analyzer
A program and service allowing automatic import of log files from IIS, COM+, Apache, Windows Event, Linux System logs etc into a database of type MSSQL, Oracle, MySQL, or Postgresql.
Use python to parse privoxy log in clf format and refer to wot ratings of the site and then dump the data in a sqlite database for statistics generation later.
This is a (hopefully temporary) fork of the great web-site statistics and analytic package JAWStats (www.jawstats.com) to add summary page and mail statistics to this wonderful peace of software
Kojoney is an easy of use, secure, robust and powerfull Honeypot for the SSH Service written in Python. With the kojoney daemon are distributeds other tools such as kip2country (IP to Country) and kojreport, a tool to generate reports from the log fi
PERL script and required environment to easily use the Afterglow software (http://afterglow.sourceforge.net/ Copyright (c) 2006 Raffael Marty) by listing the packet captures to visualize or by specifying a directory that contains the packet captures.