Performance issues today are compounded by increasingly complex infrastructures that IT teams must contend with when delivering applications. As a result, detecting and fixing performance problems is hard. Sluggish end-user transactions may present themselves as being slow due to the code. However, that slowness is often not the root cause, but rather a symptom of an underlying infrastructural issue hidden from view.
Examine common, yet elusive application performance problems that reveal themselves only when you look at them from the right vantage point. This 44-page field guide includes:
Avoiding the flaw of averages – Enable application teams to look at the actual distribution for every transaction for every user Decoding hidden messages in your data – Use a toolset that lets you slice and dice your dataset to reveal patterns not visible in the aggregate Using the power of correlation analysis – Using AppInternals, you can monitor the behavior and resource utilization of the entire stack
