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  • in JMeter
  • 10 min read

Generating Quality Data

The problem with test data is that it can become stale very quickly. This is either through its use from testing or from the fact that it is naturally aging in the test environments.

This is not just an issue for performance testing, although the volumes of data sometimes required for performance testing do make it harder. This also affects functional testing as well as batch testing and business acceptance testing amongst others.

Now we have previously written posts on how after completion of performance testing you leave data created by the execution of your tests which may be of use to other members of your test or development community. And we have also discussed how you can use existing data in your performance testing environment in your tests in the most effective manner.

But in both cases, this is during or after your performance testing takes place, for performance test to be executed you need quality data in your test environments. This is also true for functional, batch and user acceptance testing, really its true for any type of activity that wants to use data in the test environments.

  • in JMeter
  • 12 min read

Performance Test Results Trend Analysis

In this post we are going to look at how you can spot trends in your performance test results and use this trend analysis to help shape the way you address performance testing. Performance testing can generate a large volume of performance test data and using this data to define your future performance testing coverage, scope and volumes can really add benefit to your non-functional testing process.

To use data to support performance testing you are going to need to store it in a way that makes it accessible and comparable. The ideal solution and one we will discuss in this post is to store this data in a database. This post will look at the positive benefits of storing lots of performance data, especially data that spans a significant period of time, and we will look at ways of using this data to define performance test coverage and identify areas of performance concern.

  • in JMeter
  • 8 min read

Business Testing in Production

In this blog post we are going to look at using JMeter to support business testing in production. This is a slightly different topic to the one discussed in this post on testing in production. The one in the link above is around running your performance testing in production for reasons that are discussed in that post. This post is going to focus on how you can leverage your performance testing tools to support this activity, as discussed above we will focus on JMeter in some of the examples. But any load testing tool, or even functional testing tool, can provide the same benefits.

  • in JMeter
  • 11 min read

From Performance Tests to Sanity Tests with JMeter

In this blog post we are going to look at how we can use our performance tests to act as Sanity Test. We have touched upon the subject in one of our blog posts on the hidden benefits or performance testing.

This post will however look to provide more detail on the subject and provide guidance on how you can accomplish this.

Aim of this post

We are not suggesting that you write a set of JMeter tests to act as sanity tests for our application under test as that would not be that beneficial. There are much better ways to write sanity tests for applications in the form of Unit Tests in code or by using a functional testing tool such as Playwright.

What we are going to investigate is how you could use already existing JMeter tests to also support Sanity testing. If you have a set of performance tests or are in the process of creating a set of performance tests for a particular project or programme, then to build them in such a way that they can double as Sanity tests would be beneficial.

We will look at how when building a test, you could also add some additional logic to give your performance tests the capability of supporting an application Sanity test. If you have a set of tests already that you have built, then by following this post will show you how these existing assets can be updated to support Sanity testing.

All tests will be written in JMeter.

  • in JMeter
  • 9 min read

Postman Collection to JMeter

In this blog post we are going to look at how we take a postman request or collection and translate these into JMeter tests. When web services are being build it is common for Postman to be used to test the endpoints. This is done by:

  • Development teams
  • Wider Quality Assurance community
  • Business users
  • Product owners

the list goes on.

What naturally happens during programmes where web services are part of the design is that postman requests and collections are built and grow to support all manner of requirements. Using these collections to quickly build your performance tests can save you a significant amount of time and effort when it comes to understanding the web service you are testing along with the payload that the web service expects.

You will find that in some cases you can inherit a fully functioning set of web service requests that support all your requirements from a performance testing perspective.