Solving the Modern Workload Deployment Paradox

For many enterprises, Kubernetes is essential to deploy modern workloads, but scaling it on a reliable, enterprise-grade platform often proves far more difficult than expected. At the same time, the stakes are rising with strategic AI initiatives, data-intensive applications, and digital customer experiences that require scalable, secure, and efficient infrastructure. In this session, we will discuss how enterprises can continue fueling innovation with speed and at scale while maintaining secure infrastructure and repeatable automated deployments. We will discuss insights and innovations from VMware vSphere Kubernetes Service (VKS) and VMware Cloud Foundation (VCF) that help Platform Engineers address these requirements without increasing operational toil. Enterprises can innovate fast and deploy at scale without compromising security.
Key Takeaways:
Move past the trade-offs where increased infrastructure size usually leads to decreased agility and higher management overhead How can you run your AI workloads alongside other modern workloads without creating a separate siloed infrastructure Avoiding vendor lock-in with an open, extensible platform that fits into the enterprise ecosystem

For many enterprises, Kubernetes is essential to deploy modern workloads, but scaling it on a reliable, enterprise-grade platform often proves far more difficult than expected. At the same time, the stakes are rising with strategic AI initiatives, data-intensive applications, and digital customer experiences that require scalable, secure, and efficient infrastructure.

In this session, we will discuss how enterprises can continue fueling innovation with speed and at scale while maintaining secure infrastructure and repeatable automated deployments. We will discuss insights and innovations from VMware vSphere Kubernetes Service (VKS) and VMware Cloud Foundation (VCF) that help Platform Engineers address these requirements without increasing operational toil. Enterprises can innovate fast and deploy at scale without compromising security.

Key Takeaways:

Move past the trade-offs where increased infrastructure size usually leads to decreased agility and higher management overhead
How can you run your AI workloads alongside other modern workloads without creating a separate siloed infrastructure
Avoiding vendor lock-in with an open, extensible platform that fits into the enterprise ecosystem

Jay Thontakudi

Product Marketing Manager - Broadcom

Jay Thontakudi is in Product Marketing at Broadcom’s VCF division. The main area of focus includes helping customers with the adoption of VMware vSphere Kubernetes Service for modern applications. Prior experience includes 20 years in Product Management at Cisco Systems, working with customers to transform their network infrastructure.

Jeremy Wolf

Lead Product Manager - Broadcom

Jeremy Wolf is a Lead Product Manager at Broadcom leading vSphere Kubernetes Service (VKS) and modern consumption for VMware Cloud Foundation (VCF). Focussing on bridging the gap between infrastructure and developer experience, transforming vSphere into a powerful, self-service Cloud platform. By leveraging declarative APIs and the vSphere Supervisor, he helps organizations deploy complex, modern workloads with the speed and agility of the public cloud

Sachi Bhatt

Group Product Manager - Broadcom

Sachi Bhatt is a Group Product Manager at VCF focusing on cloud services. She is passionate about modernizing infrastructure through the vSphere Supervisor and enabling modern application services such as container services, but her real driving force is customer empathy. Sachi believes that the best technical solutions are rooted in deeply understanding the user's pain points, turning complex cloud challenges into seamless, empowering experiences.

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