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:
Reduced response times
Decreased hardware consumption
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 ValidatedOptimization (VO).
Please see the attached PDF for more detail about QAPOS.