System performance-compliance levels


Configurable system performance-compliance levels (PCLs) offer you a way to evaluate the performance and availability of your web application from the end users' perspective.

Note

The effect of applying PCLs can be seen in the following parts of the system: Dashboard/dashlets, Reports, Watchpoint export APIs.

PCLs use the summary data to determine whether the overall traffic performed well or not. You cannot use them to determine whether a specific instance of a page had acceptable performance or not. More importantly, you can change the PCL values and your graphs of historical data will look different.

For each of the following metrics and attributes, you can set thresholds to characterize the experience that end users have with your web application as satisfied, tolerating, or frustrated. When performance is below the tolerating value, the system characterizes end users as frustrated. When performance exceeds the tolerating value, the system characterizes end users as satisfied.

Metrics and attributes to apply the PCLs to

Metric or attribute

Description

End-to-end time

End-to-end latency of the entire object or page, including HTTP redirects, in milliseconds
 Akamai Download Time is not used to calculate this metric

Host latency

Time server took to process the object or page, in milliseconds

Network latency

Time network took to transmit the object or page, in milliseconds

Page-render time

Time to render all the content on a page, measured in milliseconds

Redirect latency

Time spent redirecting the client to get to this page, in milliseconds

SSL latency

Time the web browser and the web server took to negotiate SSL encryption for this object or page, in milliseconds (not applicable if the page was not encrypted)

TCP average latency

Average Transmission Control Protocol (TCP) time between the client and the server as observed throughout this request or page, in milliseconds

Throughput

Effective throughput of the object or page request, in bits per second. It might be blank if the request was too small to accurately measure throughput

Percentage of aborts

Percentage of requests that have been aborted

Percentage of errors

Percentage of requests with errors

Related topic

Page-service-level-thresholds

 

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