RUM Overview Dashboard Front-end Requests by App Front-end Requests by App | sim flow query="A = data('rum.page_view.count', filter=(filter('app', '*'))).mean(by=['app']).mean(over='1m').top(count=10).publish(label='A')" |bin span=1m _time |streamstats avg(_value) as RUM_Page_view_count by app |timechart avg(RUM_Page_view_count) as rum.page_view.count by app useother=f -24h@h now Front-end Errors by App Front-end Errors by App | sim flow query="A = data('rum.client_error.count', filter=(filter('app', '*'))).mean(by=['app']).mean(over='1m').top(count=10).publish(label='A')" |bin span=1m _time |streamstats avg(_value) as RUM_client_error_count by app |timechart avg(RUM_client_error_count) as rum.client_error.count by app useother=f -24h@h now Document load latency (P75) by App Document load latency (P75) by App | sim flow query="A = data('rum.page_view.time.ns.p75', filter=(filter('app', '*'))).mean(by=['app']).mean(over='1m').top(count=10).scale(0.000001).publish(label='A')" |bin span=1m _time |streamstats avg(_value) as RUM_page_view_time by app |timechart avg(RUM_page_view_time) as rum.page_view.time.ns.p75 by app useother=f -24h@h now Endpoint Requests by Operation Endpoint Requests by Operation | sim flow query="A = data('rum.resource_request.count', filter=(filter('sf_operation', '*'))).mean(by=['sf_operation']).mean(over='1m').top(count=10).publish(label='A')" |bin span=1m _time |streamstats avg(_value) as RUM_resource_request_count by sf_operation |timechart avg(RUM_resource_request_count) as rum.resource_request.count by sf_operation useother=f -24h@h now Endpoint Request Errors by Operation Endpoint Request Errors by Operation | sim flow query="A = data('rum.resource_request.count', filter=(filter('sf_operation', '*') and filter('sf_error', 'true') )).mean(by=['sf_operation']).mean(over='1m').top(count=10).publish(label='A')" |bin span=1m _time |streamstats avg(_value) as RUM_resource_request_errors_count by sf_operation |timechart avg(RUM_resource_request_errors_count) as rum.resource_request.count by sf_operation useother=f -24h@h now Endpoint Latency in ms by Operation (P75) Endpoint Latency in ms by Operation (P75) | sim flow query="A = data('rum.resource_request.time.ns.p75', filter=(filter('sf_operation', '*') )).mean(by=['sf_operation']).mean(over='1m').top(count=10).scale(0.000001).publish(label='A')" |bin span=1m _time |streamstats avg(_value) as RUM_resource_request_latency_time by sf_operation |timechart avg(RUM_resource_request_latency_time) as rum.resource_request.time.ns.p75 by sf_operation useother=f -24h@h now Largest Contentful Paint in ms by Browser (P75) Largest Contentful Paint in ms by Browser (P75) | sim flow query="A = data('rum.webvitals_lcp.time.ns.p75', filter=(filter('sf_ua_browsername', '*') )).mean(by=['sf_ua_browsername']).mean(over='1m').top(count=10).scale(0.000001).publish(label='A')" |bin span=1m _time |streamstats avg(_value) as RUM_webvitals_lcp_time by sf_ua_browsername |timechart avg(RUM_webvitals_lcp_time) as rum.webvitals_lcp.time.ns.p75 by sf_ua_browsername useother=f -24h@h now First Input Delay in ms by Browser (P75) First Input Delay in ms by Browser (P75) | sim flow query="A = data('rum.webvitals_fid.time.ns.p75', filter=(filter('sf_ua_browsername', '*') )).mean(by=['sf_ua_browsername']).mean(over='1m').top(count=10).scale(0.000001).publish(label='A')" |bin span=1m _time |streamstats avg(_value) as RUM_webvitals_fid_time by sf_ua_browsername |timechart avg(RUM_webvitals_fid_time) as rum.webvitals_fid.time.ns.p75 by sf_ua_browsername useother=f -24h@h now Cumulative Layout Shift by Browser (P75) Cumulative Layout Shift by Browser (P75) | sim flow query="A = data('rum.webvitals_cls.score.p75', filter=(filter('sf_ua_browsername', '*') )).mean(by=['sf_ua_browsername']).mean(over='1m').top(count=10).publish(label='A')" |bin span=1m _time |streamstats avg(_value) as RUM_webvitals_cls_score by sf_ua_browsername |timechart avg(RUM_webvitals_cls_score) as rum.webvitals_cls.score.p75 by sf_ua_browsername useother=f -24h@h now