The analysis and optimization of HPC I/O is a daunting task that is still unaddressed at large. The SIOX project aims to help HPC users and system administrators alike to improve the I/O performance of the applications by gaining awareness of the I/O operations taking place on the system and launching corrective measures when a problem is encountered. Given the size of modern HPC clusters and the corresponding amount of I/O they generate, the SIOX project faces a series of scalability challenges that need to be resolved. Beyond presenting the architecture and functioning of the SIOX system, this paper examines one of its biggest challenges, namely the transmission and management of large amount of event-based I/O trace information as well as the benefits the use of the trace compression techniques like ScalaTrace and C3G may convey.