Question
Anthem
US
Last activity: 25 May 2019 13:01 EDT
Browser rendering time metrics from the Pega logs.
Hi Team,
We have a requirement to create Browser rendering time dashboard in Splunk by feeding the logs from PegaRULES and PegaRules Alert.Any idea about the specific alert type and its corresponding parameters which helps with Browser rendering time metrics @ Splunk.
Thank you.
***Edited by Moderator: Pallavi to update platform capability tags***
Pegasystems Inc.
IN
Hi Pradeep,
The PEGA0001 alert is generated when the elapsed time for an HTTP interaction time exceeds the threshold setting. This alert represents a single server interaction. The PEGA0069 alert, Client page load time, represents the total time to render a screen (multiple server interactions, network time, and browser processing).
The PEGA0069 alert is generated when the total elapsed time from when the user clicks to when the screen has finished being rendered exceeds the configured threshold (in milliseconds). Unlike other alerts, this alert can include more than one server interaction; therefore, Performance Analyzer (PAL) data is a cumulative counter for all server interactions.
Please refer to the below articles for detailed information :
https://community.pega.com/knowledgebase/articles/pega0069-alert-client-page-load-time
https://community.pega.com/knowledgebase/articles/pega0001-alert-http-interaction-time-exceeds-limit
Anthem
US
Hi Hemanth,
Thanks for the response.
Please go through the below mentioned PDN link for exact requirement (Need to Calculate page Load time,calculate Request/Response Time(Network Time) and calculate Page Rendering Time).
https://collaborate.pega.com/question/how-feed-output-browser-metrics-navigation-timing-api-pega-logs
Pegasystems Inc.
IN
Hi Pradeep,
The PEGA0001 alert is generated when the elapsed time for an HTTP interaction time exceeds the threshold setting. This alert represents a single server interaction.
The PEGA0069 alert, Client page load time, represents the total time to render a screen (multiple server interactions, network time, and browser processing).
Thanks,
Abhinav