Jean Atelsek is a senior research analyst working across the Cloud & Managed Services Transformation channel and digital economics unit of 451 Research, a technology research group within S&P Global Market Intelligence. She covers vendors and technologies that manage or optimize public and private cloud total cost of operations, performance or consumption. This includes FinOps products, platforms and providers that help organizations forecast, analyze and optimize cloud spending based on data collected from the IT environment. In the cloud-native universe, Jean focuses on container-native software and platforms, serverless architectures, service mesh, and the converging worlds of observability, runtime policy enforcement and application networking. She also covers technology accelerators for application modernization, including the application of natural language processing and generative AI to effect code translation. As a maintainer of the quarterly Cloud Price Index, Jean tracks benchmark pricing for a selection of infrastructure and managed services around the world. With data collected from millions of hyperscaler SKUs, she looks at trends in pricing, service additions and regional expansion plans for the major public cloud providers. Prior to joining S&P Global Market Intelligence, Jean worked at Omdia in the telecom, networks and consumer technology sectors. She holds a BA from Oberlin College.
Broadcom's VMware Explore, the annual conference on infrastructure virtualization, has wrapped up, and there are important takeaways from both the formal program and informal discussions. Analysts Jean Atelsek, Henry Baltazar and William Fellows join host Eric Hanselman to present their takes on the event.
Broadcom's VMware Explore event focused on evangelizing its modern private cloud platform. While its VMware Cloud Foundation and Tanzu divisions are explicitly emulating public cloud's convenient interface and operating model, officials made a case for keeping more IT infrastructure in-house.
To address the limitations of using LLMs, prompts and coding assistants to create blocks of AI-generated code within a program, vFunction leverages machine learning for dynamic and static code analysis of large, complex Java and .NET environments with an eye toward modularization and modernization.
As generative AI development and deployment gain momentum, demand for graphics processing units continues to accelerate. The GPU-as-a-service market encompasses a fragmented ecosystem of players with intensifying competitive dynamics. So, who is powering the AI boom? This report highlights how GPUaaS strategies are evolving given current market volatility. It includes a market forecast, key players, GPU suppliers and a discussion of how hyperscalers’ own silicon development efforts and datacenter buildouts are contributing to the kinetic GPUaaS landscape.
While just a point in time in the cloud and AI universe, Q2 2025 earnings reports by the hyperscaler parent companies showed record spending on AI infrastructure starting to affect income statements. Meanwhile, all three are courting developers with AI-enhanced coding tools.
Legacy applications challenge executives who want to move to more agile and maintainable modern choices but find their organizations constrained by their applications' monolithic code bases and the lack of developers who know the older languages.
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