- we dropped Perl and FastCGI
- we dropped RRDtool
- we started to use Lua programming language
- we moved to OpenResty for a fast and robust HTTP processing
- we switched to Redis for in cache memory statistics
- and we are still designing a new exploratory data module, for direct interaction with raw data
We are using the Data-Driven Document JS library, the D3, a fresh and powerful data visualization library, based on standard HTML, SVG and CSS. So there are lots of new things versus our old analytic release 0.70. And we expect to have the first demo somewhere in late October for certain key accounts.
During all our development process we been heavily reading and researching in cache memory data structure servers, web analytic, real-time data processing. Two reference books we are using heavily for our software development and data streaming:
Another good book about real-time web analytic software is "Real-Time Analytics", by MongoDB, Cassandra.