peaq products address gaps that arise from missing vendor solutions, or vendor solutions that are not suitable for the market.
Still today there exist no industry-wide standards that describe how application or infrastructure performance should be measured, stored and evaluated. Meanwhile, it is unclear to IT staff which performance metrics are relevant in which context. This means that cross-layer root cause analysis usually ends up in neurotic discussions due to missing facts. A typical example is the perpetual discussions regarding how I/O service times influence application performance.
The peaq application performance analysis products enable the quantification of the user-perceived application performance on a use case basis. As an example, they automatically compute the top 10 use cases (long runners) and graphically display tuning candidates along with the corresponding potential tuning gains. By following this methodology consequently, it is possible to conduct realistic load and performance tests that closely emulate production and furthermore assess the performance impact of various software releases before the impact materialises.
Furthermore, it is possible to quantify the contribution of the various infrastructure layers due to a novel normalisation of the respective data which results in a new universal metric. This allows the visualisation of all contributions on a single graphic and as a consequence a terminal performance assessment. Neurotic discussions regarding which infrastructure layer is killing application performance are a thing of the past.