47 per cent of respondents in a recent GitLab survey chose DevOps or DevSecOps as their preferred practice option, a 5 per cent jump from 2021.
The growing adoption benefits the software industry in general. 7 out of 10 DevOps teams are now continuously increasing code, 63 per cent more than last year. At least 60 per cent of developers are releasing code faster than before. 35 per cent say they are releasing code twice as fast, 15% are releasing code between three and five times faster, and 8% are releasing code more than five times faster.
The deployment of DevOps is supported by a high degree of automation, which is also applied to software delivery. In this regard, 62 per cent of DevOps teams are practicing ModelOps, 31 per cent of teams are actively using AI and machine learning algorithms for code verification, which is more than twice as many as in 2021. 37 per cent of teams are using AI/ML in software testing (up from 25 per cent) and another 20 per cent are planning to introduce it this year. 19 per cent plan to introduce AI/ ML-powered testing in the next two to three years.
Toolchain issues and security remain widespread among the most pressing challenges for DevOps-based software deployments.
69 per cent of managers or professionals are committed to consolidating their toolchains to meet challenges with monitoring, development delays and adverse impacts on the developer experience.
50 per cent of the security experts in the survey stated that developers do not detect up to 75 per cent of security issues, and despite the alarming figures, only 10 per cent of respondents stated that they receive additional security budgets.
The sources for this piece include an article in ZDNet.