For Software Engineers, DevOps, Data Architects, and IT Leaders
The progression to modern application stacks and microservices architectures has resulted in orders of magnitude more logs, metrics, events, and traces. Like gravity, data attracts more data, making it increasingly difficult to move and process as it accumulates over time. More than ever, there is a need to be able to stream-process, filter, mask, transform, aggregate, analyze, and route that data to various data tier destinations optimized for specific usage.
A bibliographic processor similar to BibTeX with extensive multi-lingual support, and back-ends for several document processing systems, e.g. TeX/LaTeX and DocBook XML.
I developed this for PBS as a quick way to display local station events. This app uses the iCal standard, but in an XML format (xCal) with a MySQL and perl backend. You can import xCal events from an .xsc file to MySQL. Uses XML/XSL/XSLT.
CODSYS is a GPL Perl/Web-based system for collaboration. The system uses a backend XML file for all data, and lays the contents out in a tree structure identical to the layout of the XML document.
Schedulist is a program that takes a single source file (in easy-to-follow XML format), and spits out a human-readable form of it, in HTML table, list or perharps other formats (LaTeX is planned).