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Apache Log Parser and Data Normalization Application
Apache Log Parser and Data Normalization Application
Python handles File Processing & MySQL handles Data Processing
ApacheLogs2MySQL consists of two Python Modules & one MySQL Schema to automate importing Access & Error files and normalizing data into database designed for reports & data analysis.
Runs on Windows, Linux and MacOS & tested with MySQL versions 8.0.39, 8.4.3, 9.0.0 & 9.1.0.
4 LogFormats & 2 ErrorLogFormats can be loaded and 5 MySQL Stored Procedures can be processed...
Enterprise is an open source monitor and advanced log parser.
Based on Enterprise ship state system controller of Star Trek, It is able to let you know about the state of your services in a given time.
PFL can either operate as a stand-alone firewall log parser or set up to run and configure ipfw. The major focus is parsing, compressing, and filtering *NIX (to include Mac OSX) firewall logs generated by IPFW for quick and easy admin review.
devialog is a behavior/anomaly-based syslog intrusion detection system which detects unknown attacks via anomalies in syslog. It can generate signatures for ease of management, act upon anomalies in a predefined fashion or perform as a standard log parser
Deploy in 115+ regions with the modern database for every enterprise.
MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
A complex log parser that allows for the scripting of actions, updating databases, on-the-fly configuration and much more. Aggregate logs from disparate systems (i.e. Apache, IPS/IDS and various sensors) and take action on events through external scripts
A Perl program that trims the statistics.csv file (generated by Battlefield Server Manager, http://blackbagops.com/bf1942/index.shtml) to exclude log entries older than x days, for use by Venkman's BFStats log parser, http://www.mkoehler.de/bfstats