Systems | Development | Analytics | API | Testing

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.

This is Chapter 2 of our journey of non-functional testing with Otto Perf. You can read Chapter 1 if you have missed it. Authors note The article is in the OctoPerf Blog pages Otto had previously got to the point where he had defined a set of non-functional requirements and risk assessed these with the programme team.

This is the first in a series of posts that are going to follow the fictional performance tester Otto Perf. Otto manages all aspects of performance testing for a fictional company OctoCar that specialise in selling used cars. OctoCar are building a new system to manage the selling of their fleet of cars, and we are going to follow Otto on his journey as he ensures that the new technology platform performs in line with agreed non-functional requirements under peak volumes of load and concurrency.

Watch Our Latest Webinar: New Features Tour. We’re excited to share the recording of our latest webinar, New Features Tour - March 2025! Over the past 12 months, we improved both our SaaS and On-Premise versions, and this session showcases all the powerful updates we’ve introduced. What’s New? Watch the full webinar to see these features in action and learn how they can optimize your performance testing!

Join Danielle Forier, Software Quality Assurance Analyst, as she shares the journey of how her QA team transformed their testing strategy by integrating functional and performance testing. Discover how reusable scripts and the right tools helped them achieve seamless workflows, greater efficiency, and the scalability needed to manage a growing and complex product portfolio.

OctoPerf offers a JTL import feature that allows anyone to import JMeter results and manipulate them through our reporting UI for free. JTL stands for Jmeter Test Logs. It is the recommended output for JMeter test results. It is basically a CSV file that contains a single line for each individual sample result.

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.

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.

Version 15 of OctoPerf bring a huge focus on continuous integration and Devops practices. We've taken steps to highlight existing integrations, add many others and we've thrown an entirely new report type on top of it.