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 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.
The company is taking a platform engineering approach to create a unified platform for site reliability engineering and DevOps teams to integrate the tools of their choice into a single pane of glass, augmented with AI-generated insight into development and deployment productivity and results.
Applying generative AI to programming tasks offers organizations numerous opportunities. AI can assist developers in generating or suggesting code, testing and securing code, and improving documentation. AI-enabled tools are also valuable for code discovery, explainability and skills development. For line-of-business users with little coding experience, generative AI provides an opportunity to create or customize applications or engage in analytics.
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