Perforce Graphics Testing Course After Acquiring BlazeMeter
Perforce Software has acquired BlazeMeter Broadcom as part of an effort to extend the reach of its testing tools beyond Perfecto tools to test the mobile and web applications it acquired in 2018.
Broadcom took control of BlazeMeter after acquiring CA Technologies in 2018. CA Technologies acquired BlazeMeter in 2016. Terms of the latest acquisition involving BlazeMeter were not disclosed.
Tim Russell, Product Manager for Perforce, said BlazeMeter adds a comprehensive platform that covers everything from load and performance testing to application programming interface (API) testing. The goal is to enable DevOps teams to take continuous testing further as part of an effort to accelerate application development and deployment, Russell added.
The need for continuous testing has become more pronounced as more organizations launch multiple business digital transformation initiatives, noted Russell. The real challenge will be finding ways to integrate continuous testing into DevOps processes at a sufficient level of scale, Russell added.
In fact, the quality of the digital experience these apps provide ultimately determines how successful these efforts are, which Russell says is why so many enterprise IT organizations are reorganizing their business IT testing processes. applications.
Typically there are two avenues for organizations to move tests further to the left. Some provide application performance testing tools for developers to use during DevOps sprints, while others try to involve application testers earlier in the application development process. In some cases, organizations do both as part of an overall effort to uncover issues before applications are deployed to a production environment. These problems are naturally more expensive to resolve after deploying an application.
Perforce, for now, plans to continue making BlazeMeter and Perfecto available as a set of complementary cloud services with some cross-pollination of capabilities occurring over time, Russell said.
Longer term, it is evident that more artificial intelligence (AI) -based analytics will be integrated into cloud-based platforms that can collect enough data to create meaningful models of development processes. IT teams should also expect testing tools to make greater use of computer vision algorithms to pinpoint issues.
Either way, the whole app testing process is about to get a lot more automated as more and more organizations are building multiple apps simultaneously. This doesn’t necessarily reduce the need for a developer or tester to create and manage this process, but it does mean that the testing time required for each application should continue to decrease steadily over the months and years to come.
Hopefully all of these efforts will lead to better app experiences delivered to end users in a more consistent way. There is nothing more frustrating for an application development team than discovering that 90% of an application’s functionality is not being used because end users cannot easily access it. Worse, of course, is when an app proves to be too slow when deployed. Either way, it’s hard to regain that initial end-user enthusiasm for any new app experience after it’s lost, simply because no one has thought of all the use cases that should have been tested a lot. earlier in the application development lifecycle.