Test data has always been one of the slowest, least glamorous parts of software testing. It is rarely strategic work, but it holds everything up. No matter how good your test plan is, weak data can make the whole exercise unreliable.
If you’re looking for a new performance tool or new to performance testing, it can be a tough subject to get your head around. I’ve been involved in the industry for 3 decades, and during that time, it has evolved massively. Increasingly, I talk to people at companies who’ve never
JMeter often becomes the default because it looks free. There is no license fee, and it appears flexible enough to do almost anything. But JMeter’s ease is often a myth. In reality, it is rarely the most sensible or low-cost choice.
In the last main Testing Times edition (April fools day), I argued, quite ludicrously, that testing is a waste of time. That it slows releases, costs money, and ruins everyone’s fun. Judging by the comments, a few readers took it a bit too literally. So let’s be serious for a minute.
DevOps Aviator brings generative AI into software delivery to help test teams move sooner, reduce manual effort, and get answers faster. It is part of the broader Aviator suite: a set of AI capabilities embedded across OpenText products.
Let’s be honest, testing is what teams do when they don’t trust their developers. It’s a tax on speed, a relic from waterfall days, and a crutch for people afraid to ship. It just slows down releases, kills creativity, and wastes budget that could be better spent on another sprint.
You walk into a room where people are talking about the exact problems you wrestle with: tricky deployments, clunky processes, and how to test faster. Sometimes, the right conversation with the right person is enough to unlock a solution or a possibility you hadn’t even considered.
With 26.1, OpenText is giving you something concrete: Python‑based automation, AI‑assisted verification, and cloud labs that fit into your existing CI/CD. This turns functional testing from a separate QA activity into a shared capability that developers, SDETs, and testers can all contribute to.
OpenText’s version 26.1 is a clear statement of where the Performance Engineering (LoadRunner) family is heading: AI-assisted, simplifying complex tasks and enabling your team to be more productive. This creates a very practical question: how do you buy and deploy these new capabilities in a way that actually moves the needle on risk, cost, and delivery speed?
For almost 30 years, LoadRunner has set the standard for performance testing and been relied on by organisations of all shapes and sizes. Now, LoadRunner has released a bespoke AI solution that will take performance testing to a whole new level.
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