Before you can view application page load times, you need to have created an
Analytics profile that is logging statistics internally on the BIG-IP® system. In the profile, the statistics-gathering configuration must
have Page Load Time selected as one of the collected metrics. The
Analytics profile also needs to be associated with one or more virtual servers, or an
iApps™ application service.
You can view page load times on the Analytics charts. Page load time
is how long (in milliseconds) it takes from the time an end user makes a request, until
the web page response from the application server finishes loading on the end
Note: End user response times and latencies can vary significantly
based on geography and connection types.
On the Main tab, click
The Analytics Overview screen opens and shows a summary of the most
active application traffic, such as the top URLs, top virtual servers, top pool
members, top response codes, and top countries in recent times. Settings in the
associated Analytics profile govern what you see on this screen.
From the Latency menu, choose Page Load Time.
Charts show the average page load times in milliseconds for all
applications and virtual servers associated with all Analytics profiles.
To view average page load time for a specific application, in the Details
table, select only that application.
The charts refresh and show the page load time only for the selected application.
To view page load time for a specific virtual server:
The charts show page load times for the selected virtual server.
Click Expand Advanced Filters.
For Virtual Servers choose
Click Add and select the virtual server whose page load times you want to view.
To view information for a narrower time frame, click on a time in the left
chart and drag it to the right chart.
The statistics now show information for a narrower time frame.
If further investigation is needed, click on an object in the charts to drill
down into the information displayed, for example, specific pool members, URLs,
countries, or client IP addresses.
Tip: If you are concerned about maintaining a high level of user experience
and productivity, you can configure the Analytics profile so that it sends an alert
when the average page load time exceeds a number of milliseconds for some period of