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2025

OctoPerf v16 - A major UI makeover

In 2022, OctoPerf went through a major UI makeover. The goal was not only to move to a more modern tech stack, but above all to offer a smoother, more flexible experience to our users. Since then, this new UI has been warmly welcomed by the thousands of people using OctoPerf every day.

Over time, we’ve kept listening to you: your positive feedback, your suggestions, your ideas for improvement. All of that has helped shape the brand-new version of the OctoPerf UI that we’re excited to share with you in this short demo video, freshly rolled out to production on the SaaS. It's also available for On-Premise users.

  • in JMeter
  • 8 min read

Performance Testing and Artificial Intelligence (2/2)

If you recall part one of this blog post, we were going to use ChatGPT in parallel with how we would work to cover these aspects of performance testing.

  • Requirements Gathering
  • Risk Assessment
  • Script Creation
  • Results Analysis

We left the first part of this blog post at the point at which we had compared Requirements Gathering and Risk Assessment, we will pick this post up by looking at Script Creation before concluding with Results Analysis.

  • in JMeter
  • 11 min read

Performance Testing and Artificial Intelligence (½)

If you believe many articles online you would believe that automation in testing will soon be defined, managed and executed by Artificial Intelligence (AI). AI is embedded in many organisations technology landscape and to think that this model will change is shortsighted. AI is here to stay undoubtedly in one form or another, but should it be responsible for the automated testing of your applications under test ?

Clearly the level of involvement that AI has in your automation is up to you, but to depend on it exclusively will reduce its effectiveness and make it little more than a series of tests that provide little benefit when it comes to truly understanding how your application behaves. This post will look at performance testing and the automation that surrounds this discipline but many of the observations are also true for functional automation.

The many articles that support the wholesale use of AI in automation fail to see the bigger picture: most organizations are complex and any technology change is difficult and involves many applications and many stakeholders. So, while simply getting AI to build you a performance test suite in a language of your choice might be possible in some organizations for the vast majority, this is not a viable option.

Contrary to what this introduction might imply, the use of AI in performance testing is advantageous when used sensibly, this post will look to discuss this in more detail.

AI in Performance Testing: MCP server Integration with OctoPerf

Some topics are just too trendy to overlook, and AI in testing is definitely one of them. A few weeks ago, we shared a blog post introducing the integration between an MCP server and OctoPerf, highlighting the many benefits it brings.

To illustrate this in action, we recently hosted a webinar led by Thomas Pitteman, performance testing expert at Adeo and OctoPerf power user. In this short 20-minute session, Thomas walks through the concept behind the integration, demonstrates several prompts to launch a test directly from Claude, and shows how to query the AI for insights and recommendations on the results.

The webinar wraps up with a Q&A session, which we chose to keep, so you can hear answers to questions you might be wondering about too.

OctoPerf MCP Server

With the rapid rise of AI, the emergence of the MCP protocol reshaping human-machine collaboration, and testing tools like OctoPerf making their mark in the DevOps landscape, we’re clearly riding a new tech wave… and it’s got style.

I wanted to dive into this project because it felt both fun and challenging. It was the perfect opportunity to explore what AI, the MCP protocol, and OctoPerf could really offer… and to see how far we could push the possibilities. For this project/demo, I used VS Code with GitHub Copilot, but of course other IDEs and AI models could work just as well.

You will find the source code here if you want to go further you can test it with an OctoPerf free licence.

I will explain along this article the main concepts, technologies used, and there will be a demo section too, to give you a better idea of this MCP OctoPerf server!