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Load Testing Blog

OctoPerf v12 - Scheduler, slack integration and UI upgrade

It's been some time since our latest major release, in fact OctoPerf v12 is probably our biggest/longest coming release to date. There's of course been a couple of minor versions this summer and we'll also cover them but first let's focus on the new killer features: the scheduler, alerting through slack/mail and a better UI for the menus.

The scheduler is the first item left on our original roadmap (back when OctoPerf was still called jellly.io). Of course we've got a lot more planned on our current roadmap than back then, but still it's an important landmark for us! We've decided to merge it with notifications through slack integration or mail so that you can get the best out of these scheduled tests.

At the same time we've worked on the menus to highlight all the possibilities instead of hiding them in sub-menus.

Improvements

Scheduler

scheduler

  • in JMeter
  • 6 min read

Apache JMeter is old

"JMeter is old technology", I hear this a lot.

"Let’s use this tool or that tool instead of JMeter as it’s the latest", I hear this a lot.

"We need a lightweight tool without the GUI interface to write our tests as that will make us more agile", I hear this a lot.

It’s all nonsense it really is, there seems to always be a call for using the most modern technology for all forms of testing whether its Performance Testing or Automated Functional Testing and the result of this is that the people writing the tests spend to long learning the new tools and not enough time building something that will ensure the software being developed is the best it can be.

I am conscious that the above statement is a bit or a generalisation and there are some exceptions but for many organisations this is true.

The aim of all these tools is the same thing, to support your QA journey through to the delivery of a robust, well performing piece of software, the tools you use to accomplish this are not important if you have a robust modular framework in place, and you have a sensible approach to data management and reporting.

We are going to look at in this post the reason why JMeter is so good at what it does and why just because it is considered old technology by some still makes it the right choice for many testing professionals.

  • in JMeter
  • 8 min read

JMeter Plugins Overview And Install

JMeter in its vanilla form is a very powerful tool for performance testing, the ability to create complicated test scenarios using the out-of-the box samplers, timers and logic controller can sometimes be extremely difficult and require you to write your own complimentary code.

There are however Plugin’s that exist that can help in building some of the more challenging scenarios.

In this post we are going to look at some of these and discuss how they can be used.

Installing Plugins

The correct way to install plugins when running locally is to use the Plugins manager by selecting Options -> Plugins Manager from the JMeter menu or selecting the Plugins Manager icon.

plugins manager icon

Gatling: Post requests and modular scripts

This article is the fourth part of a series of tutorials dedicated to Gatling Load Testing.

We will focus on POST requests and script modularization:

In the previous blog post we created a realistic Virtual User that browses the store without buying anything. On the contrary, here we are going to simulate the behavior of a user that connects to the web store, searches for items, adds some to his cart and proceeds to the checkout. Then we will combine both Virtual Users to simulate a diverse load on the PetStore.

POST Requests

Most actions to simulate a user that connects to the store are done via POST HTTP requests. But what exactly is an HTTP POST request?

  • in JMeter
  • 10 min read

Statistical Analysis in Performance Testing

What does statistical analysis have to do with performance testing you may ask, more than you would think is the answer.

Due to the large volumes of result data that is generated and analysed you are performing statistical analysis of your data when presenting your results. - 90th Line, - 95th Line, - 99th Line, - Average, - Median.

Are all examples of values in the JMeter Aggregate Report.

  • Average,
  • Std.Dev.

Are examples of values in the JMeter Summary Report as well as the Graph Results.

We are going to take a look at these statistical techniques so you can understand, if you don’t already know, how they are calculated as well as how they can be of benefit when analysing performance test results.

We will also look at other statistical techniques that you can use outside of JMeter by using the .jtl file output, we will use Microsoft Excel for our analysis but other spreadsheet type tools are equally as good.

As way of a disclaimer there are many ways of analysis data, far too many to go into in this Blog Post but hopefully reading this will encourage you to explore this subject further as it can be fascinating.

For each way of analysing the results we will look at its definition, look at an example and discuss how it can be of use when presenting results.

Let’s get started.