https://community.qlik.com/t5/Member-Articles/Qlik-Application-Performance-Optimization-Strategies-QAPOS/ta-p/1978952 <DIV class="lia-message-template-content-zone"><P><STRONG>QAPOS ,&nbsp;</STRONG>Qlik Application Performance Optimization Strategies,&nbsp;<SPAN>provide a conceptual framework by which to identify and implement specific </SPAN><STRONG>optimizations</STRONG><SPAN> in Qlik applications</SPAN><STRONG>.</STRONG></P><P>Optimizations are changes that provide empirically measurable performance improvement, in one or more of the following aspects:</P><OL><LI>Reduced response times</LI><LI>Decreased hardware consumption</LI><LI>Improved system reliability</LI></OL><P>An <STRONG>Optimization Candidate (OC)</STRONG> is a change that we <EM>hypothesize</EM> will improve performance, in terms of one or more of these aspects. An <STRONG>OC </STRONG>has the potential, through prototyping and empirical testing, to become a <STRONG>Validated</STRONG> <STRONG>Optimization (VO). </STRONG>&nbsp;</P><P>Please see the attached PDF for more detail about&nbsp;<STRONG>QAPOS.</STRONG></P><P><STRONG><span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="QAPOS flow chart 2020.png" style="width: 999px;"><img src="https://community.qlik.com/t5/image/serverpage/image-id/88742iD6AC99DA5E0F0FA3/image-size/large?v=v2&amp;px=999" role="button" title="QAPOS flow chart 2020.png" alt="QAPOS flow chart 2020.png" /></span></STRONG></P></DIV> Thu, 08 Sep 2022 19:54:44 GMT DataWrangler 2022-09-08T19:54:44Z https://community.qlik.com/t5/Member-Articles/Qlik-Application-Performance-Optimization-Strategies-QAPOS/ta-p/1978952 <DIV class="lia-message-template-content-zone"><P><STRONG>QAPOS ,&nbsp;</STRONG>Qlik Application Performance Optimization Strategies,&nbsp;<SPAN>provide a conceptual framework by which to identify and implement specific </SPAN><STRONG>optimizations</STRONG><SPAN> in Qlik applications</SPAN><STRONG>.</STRONG></P><P>Optimizations are changes that provide empirically measurable performance improvement, in one or more of the following aspects:</P><OL><LI>Reduced response times</LI><LI>Decreased hardware consumption</LI><LI>Improved system reliability</LI></OL><P>An <STRONG>Optimization Candidate (OC)</STRONG> is a change that we <EM>hypothesize</EM> will improve performance, in terms of one or more of these aspects. An <STRONG>OC </STRONG>has the potential, through prototyping and empirical testing, to become a <STRONG>Validated</STRONG> <STRONG>Optimization (VO). </STRONG>&nbsp;</P><P>Please see the attached PDF for more detail about&nbsp;<STRONG>QAPOS.</STRONG></P><P><STRONG><span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="QAPOS flow chart 2020.png" style="width: 999px;"><img src="https://community.qlik.com/t5/image/serverpage/image-id/88742iD6AC99DA5E0F0FA3/image-size/large?v=v2&amp;px=999" role="button" title="QAPOS flow chart 2020.png" alt="QAPOS flow chart 2020.png" /></span></STRONG></P></DIV> Thu, 08 Sep 2022 19:54:44 GMT https://community.qlik.com/t5/Member-Articles/Qlik-Application-Performance-Optimization-Strategies-QAPOS/ta-p/1978952 DataWrangler 2022-09-08T19:54:44Z