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Qlik Application Performance Optimization Strategies (QAPOS)

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Former Employee
Former Employee

Qlik Application Performance Optimization Strategies (QAPOS)

Last Update:

Sep 8, 2022 12:54:44 PM

Updated By:



QAPOS , Qlik Application Performance Optimization Strategies, provide a conceptual framework by which to identify and implement specific optimizations in Qlik applications.

Optimizations are changes that provide empirically measurable performance improvement, in one or more of the following aspects:

  1. Reduced response times
  2. Decreased hardware consumption
  3. Improved system reliability

An Optimization Candidate (OC) is a change that we hypothesize will improve performance, in terms of one or more of these aspects. An OC has the potential, through prototyping and empirical testing, to become a Validated Optimization (VO).  

Please see the attached PDF for more detail about QAPOS.

QAPOS flow chart 2020.png

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Last update:
‎2022-09-08 03:54 PM
Updated by: