Before you can look at the application statistics, you need to have created an
Analytics profile so that the system is capturing the application statistics internally
on the BIG-IP
® system. You must associate the Analytics profile
with one or more virtual servers (in the Analytics profile or in the virtual server). If
you created an iApp application service, you can use the provided template to associate
the virtual server.
Note:
Newer browsers (Internet Explorer 9 or later, Firefox 3.6 or later, or Chrome 14
or later) support viewing Analytics charts with no additional plug-in. If using
older browsers (Internet Explorer 8 or earlier, Firefox 3.5 or earlier, or
Chrome 13 or earlier), Adobe®
Flash® Player (version 8 or later) must be installed on the
computer where you plan to view Analytics charts.
You can review charts that show statistical information about traffic to your web
applications. The charts provide visibility into application behavior, user experience,
transactions, and data center resource usage.
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On the Main tab, click .
The Overview screen opens.
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From the Override time range to list, select a new time
frame to apply to all of the widgets in the overview.
Tip: Within each widget you can override the default time range, as
needed.
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For each widget, select the data format and the time range to display, as
needed.
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From the menu bar, select the type of statistics you want to view.
| Select this option |
To see these application statistics |
|
Overview
|
Top statistical information about traffic on your system or managed
systems, such as the top virtual servers, top URLs accessed, and top
applications. You can customize the information that is displayed.
|
|
Transactions
|
The HTTP transaction rate (transactions per second) passing through
the web applications, and the number of transactions to and from the web
applications. |
|
Latency > Server Latency
|
The number of milliseconds it takes from the time a request arrives
at the virtual server until a response arrives at the virtual
server. |
|
Latency > Page Load Time
|
The number of milliseconds it takes for a web page to fully load on
a client browser, from the time the user clicks a link or enters a web
address until the web page displays in its entirety. |
|
Throughput > Request Throughput
|
HTTP request throughput in bits per second. |
|
Throughput > Response Throughput
|
HTTP response throughput in bits per second. |
|
Sessions > New Sessions
|
The number of transactions that open new sessions, in sessions per
second. |
|
Sessions > Concurrent Sessions
|
The total number of open and active sessions at a given time, until
they time out. |
The charts display information based on the settings you enabled in the
HTTP Analytics profile.
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From the View By list, select the specific network
object type for which you want to display statistics.
You can also click Expand Advanced Filters to filter
the information that displays.
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To focus in on the specific details you want more information about, click the
chart or the details.
The system refreshes the charts and displays information about the
item.
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On the screen, the system displays the path you followed to reach the current
display, including the items you clicked. For example, to review throughput
details for a particular virtual server, follow these steps:
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From the Throughput menu, choose Request Throughput.
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From the View By list, select Virtual
Servers.
The charts show throughput statistics for all virtual servers on
this BIG-IP system. You can point on the charts to display specific
numbers.
-
Click the virtual server you want more information about. You can
either click a part of the pie chart or click the name of the virtual
server in the Details table.
The charts show throughput statistics for that virtual server,
and shows the path you used to display the information.
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To view information about other applications or retrace your path,
click a link (in blue) in the path displayed by the charts.
As you drill down into the statistics, you can locate more details and
view information about a specific item on the charts.
You can continue to review the collected metrics on the system viewing transactions,
latency, throughput, and sessions. As a result, you become more familiar with the
system, applications, resource utilization, and more, and you can view the statistics in
clear graphical charts, and troubleshoot the system as needed.
