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ApacheLog Parser and Data Normalization Application
...Database system designed to accommodate unlimited domains. Step-by-step guide for easy installation.
Web interface with Drill Down Capability and apache/echarts Log Visualization integration in development.
MySQL apache_logs schema currently has 49 Tables, 853 Columns, 168 Indexes, 66 Views, 7 Stored Procedures and 43 Functions to process Apache Access log in 4 formats & Apache Error log in 2 formats. Database normalization at work!
The Exchange Server SMTP LogViewer is a graphical tool developed using Python. It is designed to help system administrators and developers analyze SMTP server logs efficiently.
This is a web log file analyzer we are making using python. First the IIS parsing engine wil be built and then Apache and possibly other servers. It is going to support multiple log files from any date and output the statistics in html formatted files, incorporating automatically build charts. It will be a pure python solution which is going to be self contained, ie no installation will be required other from the standard python modules.
New customers can spin up VMs, build with AI, and query data at no cost.
Put your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.
Find out where your website visitors are from: generates statistics on hits per top level domain (e.g. .com, .org, .uk, .se, .fr). Currently works with apachelog format, but can easily be extended to understand other formats. Written in vanilla Python.
This is a collection of REST specifications, and implementations of those specs, for very low-level information sharing and workflow operations using REST actions over HTTP.
Implementations are in various languages, mainly Java, Python, and Ruby.