The names have appeneded _success, _failure and _total. Here you can see from the example jsr223_can_fail turned into 3 metrics. Here is this repositories issue for this feature. Here's prometheus documentation on why it's important. That way you can always safely run computations like rate() and so on. So, we want to measure success ratios and be sure to emit zeros for both failures and success when the other is created for the first time. It's difficult because it involves computations with NaNs. Often we want measure success rates of samplers and it's difficult to do so when the failure for a given metric or labelset has never occurred. Success ratio is a concept specific to this plugin library. You can see here in the above image, I simply generated a random string and assigned it to the category jmeter variable, and this plugin exposed it as a label.Īs you can see below, it produced that metric with the category=''. This plugin allows you to use variables in the test plan as label values for a given metric. Notice in the image above jsr223_rt_as_summary (the 2nd down) has category,label in it's labels column. See the Type and Measuring compatibility matrix section below.Measuring: Dropdown menu of all the things you can measure.This only applies to Counters and SuccessRatio type metrics. Listen To: Dropdown to listen to samples or assertions.Optionally, after a separator the lenght of the window used to calculate the quantile can be specified.

The first decimal being the quantile and the second being the error rating. Quantiles are comma, separated pair of decimals separated by a vertical bar |.Buckets are comma seperated list of numbers.Success Ratio is something specific to this plugin and you can see the documentation below.See Prometheus documentation about metric types.Type: The type of metric you're creating.In JMeter it means the name of the sampler. Labels: A comma seperated list of labels you want to apply to the metric.Let's go through all the columns one by one. If we look closer at the very first Prometheus listener, it looks like the image below. All the documentation on this README is from this jmx file. Here's a simple example to get us started. More documentation can be found on this project's wiki. This JMeter plugin is highly configurable listener (and config element) to allow users define they're own metrics (names, types etc.) and expose them through a Prometheus /metrics API to be scraped by a Prometheus server.

Apache jmeter plugins