Understanding the relationship between the Throughput & Response Time in performance testing

First let's see what Throughput & Response Time mean.

Throughput - Amount of data in bytes (Response) that the Vusers received from the server in a second. Measured in bytes/second.

Response Time - It is the total time it takes from when a user makes a request until they receive a response. Measured in seconds.

So it is evident that both are related with the response of the application.

Lets see how we can extrapolate the performance of the application from the Analysis Summary
(Under Statistics Summary) using Throughput & Response Time.

Basically you need to compare the Total Throughput (Bytes) & Response Time between the runs to identify how well the application is performing.

Comparison between the runs:

• If throughput is increasing and response time is consistent or decreasing then there are no issues, the application is performing good.
• If throughput is increasing and response time is increasing then there is issue, the application is not able to process the growing huge bytes of data. So the requests would have been queued as a result response time increased due to the wait time.
• If throughput is decreasing and response time is increasing then there is a serious issue, the application is not even able to process a minimum load. Which should be looked upon immediately.

So the conclusion is, If we are able to download large bytes of data in less response time then your application is performing good.