Majority of organisations recognise value in AI-augmented DevOps

Mav Turner, Vice President Product at Tricentis

Tricentis, a continuous testing for modern cloud and enterprise apps firm, announced the findings from a survey of over 2,600 DevOps practitioners—AI-Augmented DevOps: The Next Frontier. It examines AI augmentation in DevOps environments and finds firms value AI-augmented DevOps and recognise its potential to fuel innovation and impact business.

How valuable are AI-augmented DevOps in the firm?

The survey found that testing is where organisations are expecting the greatest value from AI-augmented DevOps, with nearly 70% of respondents rating the potential of AI-augmented testing as extremely or very valuable. 65% of respondents thought AI-augmented testing is particularly well-suited for functional testing. Respondents also noted UI testing, unit testing, and performance testing as areas of promise for the application of AI-based technology.

“The survey results confirm that AI-augmented DevOps lives up to the hype and is here to stay. As firms mature their DevOps process, they will be looking for more opportunities to implement AI-augmented solutions to streamline the entire DevOps pipeline, reducing overall monitoring and testing time,” commented Mav Turner, Vice President, product at Tricentis.

“This will free up valuable resources to focus on innovation and business impact. Respondents also expressed that introducing AI into the DevOps process has the potential to alleviate major business and technical pain points, including making it easier for junior employees to perform more complicated tasks, reducing costs, increasing release frequency, and more.”

What potential does AI hold in DevOps processes?

“AI has the potential to positively impact DevOps processes, and we found that mature DevOps teams are already achieving benefits. Our recent study shows that firms at all stages of DevOps maturity believe that AI-augmented tech will help them manage the volume and complexity of software releases, improve code quality, and stay competitive in today’s fast-paced market,” said Mike Rothman, Chief Strategy Officer and GM at Techstrong Research.

The findings are based on a survey by TechStrong Research study on AI augmentation in DevOps environments. The survey was fielded in May and June of 2022 and yielded responses from 2,670 DevOps practitioners, managers, and executives in the Americas, Europe and the Middle East, and the Asia-Pacific from small, mid-size, and enterprise firms.