Jay Lyman is a senior research analyst with the 451 Research Cloud Native and Applied Infrastructure & DevOps channels at S&P Global Market Intelligence. He covers software development, hybrid and multicloud infrastructure management and orchestration, and enterprise use cases that focus on the confluence of software development and IT operations known as DevOps. Jay's analysis encompasses evolving software release and IT operations models, including generative AI’s role in both, and the technology used to create, deploy and support infrastructure and applications in today's enterprise and service provider markets. This research includes data and analysis from the Voice of the Enterprise: DevOps survey of both IT decision-makers and practitioners. Other key areas of research include cloud native, open-source software and enterprise end users. Jay arrived at S&P Global Market Intelligence through its 2019 acquisition of 451 Research. Prior to 451 Research, Jay worked as a journalist for various media firms and publications including CMP Media, LinuxInsider, NewsForge, Time Magazine and the Associated Press. Jay has been a speaker at numerous industry events, including IC3, DevOps Days, LinuxCon and OSCON, covering topics such as cloud computing, DevOps, open-source software and enterprise case studies.
The company recently bolstered its Karpenter tooling with auto-scaling that matches tenant workloads to the right infrastructure for cost-efficient, performance-aware scaling for each virtual cluster. It is focused on the factors that have become table stakes for Kubernetes deployments at scale.
Despite the enthusiasm among business professionals for AI and generative AI, developers continue to be responsible for creating and shipping the code that drives AI-powered apps. During its recent swampUP conference, JFrog reiterated its objective to become the system of record for the software supply chain and machine learning operations.
Kubernetes supporter Komodor has evolved beyond drift management with its control platform that is now focused on cost, AI workloads, and system health and reliability at scale.
Our latest Voice of the Enterprise: DevOps survey on generative AI in IT operations shows adoption is growing, but many core tasks are still left largely to human beings.
Voice of the Enterprise: DevOps provides you with actionable data and insight to understand the key dynamics driving agility and collaboration between developers and IT operations for rapid software iteration and more efficient IT operations.
Combining 451 Research’s industry-leading analysis with a proprietary global panel of IT decision-makers, Voice of the Enterprise: DevOps tracks the disruption occurring in the market and exposes the major opportunities for enterprises, IT vendors, suppliers and investors.
This online survey was conducted July 1 through Aug. 22, 2025. The margin of error for top-line statistics is +/- 4 points at the 95% confidence level.
Impact of GenAI on IT operations grows, but core tasks mostly left to humans – Highlights from VotE: DevOps (Spotlight)
Our latest Voice of the Enterprise: DevOps survey on generative AI in IT operations shows adoption is growing, but many core tasks are still left largely to human beings.
Crosstabs (Excel tables | Download link in sidebar to the right) – Crosstabs of complete worldwide and regional survey results datasets, including key metrics and segmentation.
Charts and Figures (PowerPoint charts | Navigate charts in sidebar to the left | Download link in sidebar to the right) – PowerPoint slide deck of complete top-line survey results in charts and figures.
Data Insights Deck (PowerPoint charts | Coming soon) – PowerPoint slide deck of advanced charts supporting deeper analysis and insight.
The company is leveraging its experience in hybrid/multicloud, Kubernetes and open source to support the burgeoning AI workloads and use cases that demand transparency and data sovereignty. Yet Mirantis must continue to evolve beyond Kubernetes as the open-source platform matures.
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