Comparing Page Views to Load Test Estimates – LoadStorm
Update: This information pertains to LoadStorm LITE which we no longer offer. In LoadStorm PRO, you can find the number of times a page was requested from the Pages tab of the test results. To see an example of the LoadStorm PRO test analysis click here.
In some cases a customer may use google analytics to look for spikes in the number of page views per hour for a week or month. From this they may want to know how their load test results compare for number of page views. There are a couple of ways to try and calculate the number of page views per hour from a set of load test results using LoadStorm. (These examples are assuming the results came from load tests that were run for 60 minutes)
- The first, is an estimation from the average number of requests to complete a page view for each of the pages you’re testing. If you go to webpagetest.org and run a performance test on your home page you will find the total number of requests it takes to complete the fully loaded page which for example could be 24 requests for your homepage, but 42 requests or more for another page that you’re testing.
Once you have these numbers you can take their average and look at your Peak RPS (requests per second) from your load test results. Then you can divide it by the average requests per page to get an estimate of the average page views per second that your site can handle based on the duration of the load test.
- The second, is to download the CSV with all of the data from the load test. This can be done from the Download CSV button below the 2nd graph in our reporting.
Once the CSV has been downloaded and opened you can perform a sort or filter the results to only show the content_type of text/html. This will tell you how many times there were page requests over the duration of the test.
Also keep in mind that some pages can put more strain on your server than others due to interactions with a database, large file sizes, or numerous requests which can affect the actual number of page views per hour that your server can handle.