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 role of generative AI in software development continues to grow and is now much broader than simple code generation, with top use cases including testing, security scans and documentation. Notably, this growth has led many enterprises to report an increase in employee recruitment and retention.
The software testing vendor is focusing its strategy on quality engineering that is embedded throughout the software delivery process and across all of an enterprise's applications. It recently introduced qTest Copilot, which leverages generative AI and automation to drive higher-quality tests, software and efficiency.
The startup is trying to stand out in the software development and deployment space by focusing on software delivery and package management, catering primarily to enterprises that treat both as priorities. It is now looking to bring the software delivery best practices of existing customers to organizations of all sizes and types.
With the generative AI spotlight on code generation, is there an opportunity for organizations to better utilize AI across their development practices? GitLab thinks so, with Duo, which looks to make developers more productive by extending AI across workflows.
The cloud development environment specialist continues to increase its funding, paying customers and revenue as it caters to hybrid and multicloud infrastructures along with the software developers spread across them. It recently introduced Coder Premium, which is designed for large companies with multi-tenant deployments.
The company focuses on enabling a new approach to infrastructure and application management, with a programmable and reactive user interface that is also intuitive. Although System Initiative is leveraging AI for its customers, the company is delivering smaller, more focused experiences — rather than a "god machine" that is unrealistically expected to write, deploy and manage applications automatically.
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