zydronium/manage.get.gov
1
0
Fork 0
mirror of https://github.com/cisagov/manage.get.gov.git synced 2025-07-25 03:58:39 +02:00
Code Issues Projects Releases Packages Wiki Activity

fixed hyperlinks

Browse source
This commit is contained in:
CocoByte 2024-02-28 20:16:13 -07:00
parent 2721386d21
commit 4358d39cb0
No known key found for this signature in database
GPG key ID: BBFAA2526384C97F
1 changed files with 1 additions and 1 deletions
Download patch file Download diff file Expand all files Collapse all files

2
docs/architecture/decisions/0025-caching.md
View file

@ -37,7 +37,7 @@ We decided on Option 2 - leave things as-is (for now).
Preliminary analysis suggest that implementing caching on static pages will result in negligible improvements to our application load time. A quick look at Kibana logs suggests most of these resources take less than 10ms to load... Preliminary analysis suggest that implementing caching on static pages will result in negligible improvements to our application load time. A quick look at Kibana logs suggests most of these resources take less than 10ms to load...
![Kibana RTR Logs](../doc-images/caching-rtr-logs.png) ![Kibana RTR Logs](../doc-images/caching-rtr-logs.png)
If we look at average load times in Kibana (here is ![the Kibana page with preloaded query](https://logs.fr.cloud.gov/app/visualize#/create?_a=(filters:!(('$state':(store:appState),meta:(alias:!n,disabled:!f,index:'logs-app*',key:'@cf.app',negate:!f,params:(query:getgov-stable),type:phrase),query:(match_phrase:('@cf.app':getgov-stable)))),linked:!f,query:(language:lucene,query:''),uiState:(),vis:(aggs:!((enabled:!t,id:'1',params:(customLabel:'Average%20Response%20Time%20in%20ms',field:rtr.response_time_ms),schema:metric,type:avg),(enabled:!t,id:'2',params:(drop_partials:!f,extended_bounds:(),field:'@timestamp',interval:d,min_doc_count:1,scaleMetricValues:!f,timeRange:(from:now-20d,to:now),useNormalizedEsInterval:!t),schema:segment,type:date_histogram)),params:(addLegend:!t,addTimeMarker:!f,addTooltip:!t,categoryAxes:!((id:CategoryAxis-1,labels:(filter:!t,show:!t,truncate:100),position:bottom,scale:(type:linear),show:!t,style:(),title:(),type:category)),grid:(categoryLines:!f),labels:(show:!f),legendPosition:right,seriesParams:!((data:(id:'1',label:'Average%20Response%20Time%20in%20ms'),drawLinesBetweenPoints:!t,lineWidth:2,mode:stacked,show:!t,showCircles:!t,type:histogram,valueAxis:ValueAxis-1)),thresholdLine:(color:%23E7664C,show:!f,style:full,value:10,width:1),times:!(),type:histogram,valueAxes:!((id:ValueAxis-1,labels:(filter:!f,rotate:0,show:!t,truncate:100),name:LeftAxis-1,position:left,scale:(mode:normal,type:linear),show:!t,style:(),title:(text:'Average%20Response%20Time%20in%20ms'),type:value))),title:'',type:histogram))&_g=(filters:!(),refreshInterval:(pause:!t,value:0),time:(from:now-2w,to:now))&indexPattern=logs-app*&type=histogram)), it looks like we are doing great for load times in stable (using the rtr.response_time_ms metric), staying under 200ms (in the last 4 weeks) and usually hovering around 40-80ms. Some google searching suggests that "an ideal page load time is between 0-2 seconds, but 3 seconds is also considered to be an acceptable score. Anything above 3 seconds increases the likelihood of visitors leaving your site." (Quote shamelessly copied from Sematex) If we look at average load times in Kibana (here is [the Kibana page with preloaded query](https://logs.fr.cloud.gov/app/visualize#/create?_a=(filters:!(('$state':(store:appState),meta:(alias:!n,disabled:!f,index:'logs-app*',key:'@cf.app',negate:!f,params:(query:getgov-stable),type:phrase),query:(match_phrase:('@cf.app':getgov-stable)))),linked:!f,query:(language:lucene,query:''),uiState:(),vis:(aggs:!((enabled:!t,id:'1',params:(customLabel:'Average%20Response%20Time%20in%20ms',field:rtr.response_time_ms),schema:metric,type:avg),(enabled:!t,id:'2',params:(drop_partials:!f,extended_bounds:(),field:'@timestamp',interval:d,min_doc_count:1,scaleMetricValues:!f,timeRange:(from:now-20d,to:now),useNormalizedEsInterval:!t),schema:segment,type:date_histogram)),params:(addLegend:!t,addTimeMarker:!f,addTooltip:!t,categoryAxes:!((id:CategoryAxis-1,labels:(filter:!t,show:!t,truncate:100),position:bottom,scale:(type:linear),show:!t,style:(),title:(),type:category)),grid:(categoryLines:!f),labels:(show:!f),legendPosition:right,seriesParams:!((data:(id:'1',label:'Average%20Response%20Time%20in%20ms'),drawLinesBetweenPoints:!t,lineWidth:2,mode:stacked,show:!t,showCircles:!t,type:histogram,valueAxis:ValueAxis-1)),thresholdLine:(color:%23E7664C,show:!f,style:full,value:10,width:1),times:!(),type:histogram,valueAxes:!((id:ValueAxis-1,labels:(filter:!f,rotate:0,show:!t,truncate:100),name:LeftAxis-1,position:left,scale:(mode:normal,type:linear),show:!t,style:(),title:(text:'Average%20Response%20Time%20in%20ms'),type:value))),title:'',type:histogram))&_g=(filters:!(),refreshInterval:(pause:!t,value:0),time:(from:now-2w,to:now))&indexPattern=logs-app*&type=histogram)), it looks like we are doing great for load times in stable (using the rtr.response_time_ms metric), staying under 200ms (in the last 4 weeks) and usually hovering around 40-80ms. Some google searching suggests that "an ideal page load time is between 0-2 seconds, but 3 seconds is also considered to be an acceptable score. Anything above 3 seconds increases the likelihood of visitors leaving your site." (Quote shamelessly copied from Sematex)
![Kibana Average Load Times Graph](../doc-images/caching-average-load-times.png) ![Kibana Average Load Times Graph](../doc-images/caching-average-load-times.png)
NOTE: While we considered implementing caching in a sandbox (See footnote) in order to examine risks and benefits of OPTION 1 in more detail, this incurred more overhead than expected (mainly due to poor documentation). Therefore, we decided it was not worth the investment. NOTE: While we considered implementing caching in a sandbox (See footnote) in order to examine risks and benefits of OPTION 1 in more detail, this incurred more overhead than expected (mainly due to poor documentation). Therefore, we decided it was not worth the investment.