Data Insight: Application container revenue by deployment model
Biography
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.
Geographic Coverage
Global
Recent Research from Jay Lyman
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Survey Data Hub - Voice of the Enterprise: DevOps, Generative AI in Software Development 2024
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More than 75% of enterprises are using or plan to use GenAI for software development – Highlights from VotE: DevOps
More than three-quarters of respondent enterprises are using or planning to use generative AI in their software development process, primarily for testing, security scans and documentation, followed by code generation, code suggestions, code review and code completion, according to our Voice of the Enterprise: DevOps, Generative AI in Software Development 2024 survey.
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Open-source software shaping open AI, availability of data
Open-source software affects the adoption of generative AI in defining what is open AI and by use of open-source components to effectively leverage AI in software development and deployment. Open-source software is playing a prominent role in enterprise implementation of GenAI.
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Pulumi looks to enhance cloud management with artificial intelligence
The vendor is evolving its infrastructure-as-code approach to managing cloud infrastructure by integrating AI throughout its software suite, which now includes secrets management, data model and intelligence, and security. A prime example of its efforts to advance IaC is the inclusion of generative AI in all of its offerings.
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2025 Trends in Applied Infrastructure & DevOps
Many key technological trends will shape enterprise IT in 2025, including the integration of generative AI into observability, open-source software and intelligent automation platforms to enhance functionality and efficiency. The rising need for storage optimization is driven by increasing data volumes and costs, which in turn drives the adoption of advanced tooling such as intelligent data tiering and data tagging. Adoption of quantum computing is also on the rise, fueled by hardware advancements, high-profile enterprise use cases and global initiatives that promote quantum technologies.
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