JXInsight/Simz – The Matrix for Applications, Threads & Activities

JXInsight/Simz is a revolutionary new approach to application performance monitoring of hugely distributed and parallelized software execution. It seeks to addresses space and time constraints in such environments with regard to near real-time runtime diagnostics and performance analysis by converging and compressing both dimensions into a smaller manageable environment that simulates the important behavioral characteristics and resource consumptions of execution flows across a large number of hosts and processes.

One way to conceptualize (and relate to) what is being proposed by this approach, and understand its enormous potential, is too see JXInsight/Simz as a kind of Matrix for applications and their execution flows (threads of thought).

Much like online games, which offer virtual worlds for users to interact with via remote virtual persona (or agent), our Simz technology does NOT transmit the actual code of the applications connected to the Simz model of the metered universe, but instead replays the (event) essence of the interaction that happens in the client runtime using intelligent activity metering (which can be done on at both ends).

Naturally with our experience in monitoring low latency high frequency trading environments there are strong similarities with trading platforms, trading systems and stock exchanges – event (feeds) streams influencing behavior (orders) and altering perception of risk and reality. Just like in such environments the emphasis is on sensing the current situation, relating it to a model and predicting what comes (or occurs) next all in real-time without any direct human (manual, slow) intervention.

The similarities with electronic commerce networks (ECN) does not end there with the ability in JXInsight/Simz to create similar clusters (consolidated worlds) and networks (parallel worlds) each with a potentially different target management domain as well as model and mode of operation.