Below are written transcripts for this Webcast in two parts:
It starts with an overview of ktracer features, audience and purpose, then explains the interface and sample output, then delves into how it works, and covers a real-life example of using ktracer to troubleshoot a performance slowdown.
Through Carol's dedication to exceptional performance, ktracer is faster by an order of magnitude. Thanks to her attention to a richer total customer experience, ktracer is easier to invoke and understand, and more broadly available.
Because of her innovativeness and technical ability, ktracer is capable of creating thousands more trace points, dynamically programmable action at each trace point, and playing well with Itanium and PA/RISC processors, Cell OL*, cell local memory (CLM) and soon, dynamic loadable kernel modules and HP Virtual Machines.
