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.
Open-source software continues to play a prominent role in enterprise software development and deployment, driven by key advantages including reliability, security, lower cost and developer productivity.
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, Open Source provides insight, analysis and perspective on enterprise use of open-source software, as well as its advantages, challenges and crossover with trends such as cloud native, DevOps, and generative AI.
Two-part online surveys were conducted between March 19 through April 25, 2025. The main survey consists of 674 respondents. The margin of error for top-line statistics is +/- 4 points at the 95% confidence level.
Use of open-source software driven by reliability, low cost – Highlights from VotE: DevOps (Spotlight)
Open-source software continues to play a prominent role in enterprise software development and deployment, driven by key advantages including reliability, security, lower cost and developer productivity.
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.
Open source is likely part of the IT ecosystem for most organizations. However, organizational approaches range from a full embrace of open source as a cost-saving measure, to a conscious effort to avoid it as a cybersecurity risk. Take five minutes to read five Voice of the Customer qualitative interview comments and what they mean.
451 Research's Application Container Ecosystem Market Monitor & Forecast tracks 227 participating vendors and includes six market segment forecasts, as well as breakdowns by region, company size, infrastructure model and deployment venue.
Our latest Voice of the Enterprise: DevOps survey on DevSecOps — collaboration among DevOps and security teams — highlights a correlation between fuller DevOps deployments across all of IT and collaboration among these formerly disparate teams.
The automated code analysis and refactoring specialist has unveiled an artificial intelligence agent that combines natural language interactions and deterministic code transformation to enable effective management and modernization of massive, complex enterprise code bases.
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