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 Validated Optimization (VO).
Please see the attached PDF for more detail about QAPOS.
![QAPOS flow chart 2020.png QAPOS flow chart 2020.png](https://community.qlik.com/t5/image/serverpage/image-id/88742iD6AC99DA5E0F0FA3/image-size/large?v=v2&px=999)