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Load Testing Blog

OctoPerf v14.4.1 - Playwright, JMES Path and improved reporting

OctoPerf v14.4.1 is out, which the perfect occasion to list the features highlights from these last months. You might have already noticed some of those features in OctoPerf a while ago, but we wanted to improve them until they are on par with our quality requirements before releasing them.

Playwright

octoperf-new-ui-overview

First of all, if you don't know what Playwright is, I strongly suggest you follow our introductory tutorials on this blog. This series of articles will walk you through all you need to know in order to get started.

  • in JMeter
  • 11 min read

Using JMeter Assertions

We are going to discuss JMeter Assertions in this post. There is already a fantastic Ultimate Guide post about how to use JMeter Assertions in the JMeter section of the OctoPerf Blog and this can be found here. Before starting on this post, it would be advisable to read the post on JMeter Assertions that already exists and linked above to get a firm understanding of how they work and the various types that exist.

This blog post is going to use the information in this post and consider how assertions can be used to help your performance testing especially when building complex tests and using them to make decisions as your tests run.

The aim of this post is not to reiterate the contents of the Ultimate Guide blog post but to take an example of one or two of the regular expressions and discuss how they can be used in the wider context of performance testing scenarios.

The reality is that any of the assertions can be used to manage your performance testing and it depends on the technology you are testing and therefore the assertions best suited to this.

How to load test OpenID/OAUTH

Performance testing scripts need to go through authentication in order to access target services with the right authorization. They also need to validate that the authentication servers are able to handle the target load. OpenID Connect (OIDC) has become a popular authentication and authorization protocol for securing web applications. This article will present the OIDC protocol and how to implement a JMeter script to performance test it.

OIDC Protocol

The OIDC protocol allows the application to rely on an authentication server to identify users accessing it. Usually the authentication server is linked to the enterprise access directory. In other words this protocol is aimed at providing Single Sign-On (SSO) solution for applications. Some big internet actors even allow users to authenticate on third party services through OIDC (for example authenticating on Gitlab using a google account).

  • in JMeter
  • 11 min read

JMeter language support

In this blog post we are going to discuss using JMeter localised to a language other than English.

We are not discussing computer languages that are supported.

We will look at currently supported languages and how to change your local instance to use these languages.

We will also look at how you can submit a language translation if you would like to and have the ability to.

  • in JMeter
  • 6 min read

JMeter ForEach Controller

Among the many elements JMeter offers for creating test scenarios, the ForEach loop stands out as an efficient way of browsing and processing data.

The ForEach loop in JMeter is a controller that allows you to cycle through the elements of a list or variable, executing the test samples included in the loop for each element iteratively. This is particularly useful when you need to perform tests with dynamic data, or when you want to repeat a sequence of samples for different values.

  • Save time and effort:

  • The ForEach loop simplifies the management of test scenarios involving dynamic data, reducing complexity and development time.

  • Improved maintainability:

  • By using the ForEach loop, test scenarios remain easily understandable and modifiable, facilitating long-term maintenance.

  • Dynamic test scenarios:

  • Allows tests to be adapted to real-life situations by iterating over variable data sets.