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Perforce Software has acquired BlazeMeter from Broadcom as part of an effort to extend the scope of its testing tools beyond the Perfecto tools for testing mobile and web applications it acquired in 2018.
Broadcom gained control over BlazeMeter after it acquired CA Technologies in 2018. CA Technologies acquired BlazeMeter in 2016. Terms of the latest acquisition involving BlazeMeter were not disclosed.
Tim Russell, chief product officer for Perforce, said BlazeMeter adds a complete platform that spans everything from load and performance testing to application programming interface (API) testing. The goal is to enable DevOps teams to push continuous testing further left as part of an effort to accelerate the development and deployment of applications, added Russell.
The need for continuous testing has become more pronounced as more organizations launch multiple digital business transformation initiatives, noted Russell. The real challenge will be finding ways to embed continuous testing within DevOps processes at a sufficient level of scale, added Russell.
In fact, the quality of the digital experience those applications provide ultimately determines the degree to which those efforts are likely to succeed, which Russell noted is why so many enterprise IT organizations are reengineering their application testing processes.
In general, organizations are taking two paths to shift testing further left. Some are giving application performance testing tools to developers to employ during DevOps sprints while others are trying to bring application testers into the application development process earlier. In some cases, organizations are doing both as part of a comprehensive effort to discover issues before applications are deployed in a production environment. Those issue are naturally more expensive to fix after an application has been deployed.
Perforce, for now, expects to continue to make BlazeMeter and Perfecto available as a set of complementary cloud-based services with some cross-pollination of capabilities occurring over time, said Russell.
In the longer term, it’s apparent that more artificial intelligence (AI)-based analytics will be embedded within cloud-based platforms that can collect enough data to build meaningful models of development processes. IT teams should also expect to see testing tools make greater use of computer vision algorithms to surface issues.
One away or another, the entire application testing process is about to become a lot more automated as more organizations are simultaneously building multiple applications. That may not necessarily reduce the need for either a developer or tester to create and manage that process, but it does mean the amount of testing time required for each application should continue to steadily decline in the months and years ahead.
Hopefully, all that effort will lead to better application experiences being provided to end users more consistently. There is nothing quite as frustrating for any application development team than to discover that 90% of the functionality of an application is not being used because end users are not able to easily surface it. Worse yet, of course, is when an application turns out to be too slow once it is deployed. In either case, it’s difficult to regain that initial end-user enthusiasm for any new application experience after it’s been lost, simply because no one thought through all the use cases that should have been tested much earlier in the application development life cycle.
