Virtually Speaking Podcast

What if you could manage virtual machines and Kubernetes workloads through a single, unified control plane?

In this episode of the Virtually Speaking Podcast, Pete Flecha and Jad El-Zein are joined by Shruthi Rajashekar and Arunesh Pandey, engineering leaders behind KubeVM Service, to explore how VMware Cloud Foundation is bringing Kubernetes-native management to traditional virtual machines.

For years, virtualization administrators and platform engineering teams have operated in separate worlds. One manages VMs through vCenter and traditional workflows, while the other uses Kubernetes, declarative APIs, and GitOps to manage cloud-native applications. KubeVM Service aims to bring these worlds together.

We explore how KubeVM Service enables self-service VM provisioning, policy-based governance, and declarative lifecycle management while preserving the capabilities of the underlying virtualization platform.

The conversation also covers the proposed vendor-neutral VM API, how it compares with KubeVirt, and how existing VMs can transition toward Kubernetes-based management without requiring application rebuilds.

Plus, we discuss innovations like Fast Deploy, unified resource management, and the CNCF sandbox initiative aimed at establishing a common API for managing virtual machines across infrastructure providers.

Links Mentioned

KubeVM Service blog

 https://blogs.vmware.com/cloud-foundation/2026/10/22/introducing-kubevm-service/

Github

https://github.com/vmware-tanzu/vm-operator

https://github.com/vm-api/vm-api

Gitops blog on VCF

https://rutgerblom.com/2026/10/27/gitops-for-vms-on-vcf-9/

Videos

https://youtu.be/puJYxPvj2zU?si=Uyj7UluhdB9T2ay9

https://youtu.be/a2LksDuZlwc?si=lxSsKc29i-4xY3wy

AI investment is accelerating, but how do organizations move beyond spending on AI to actually measuring its business value?

In this episode of the Virtually Speaking podcast, recorded at VMware Explore 2026, Pete Flecha and Jad El-Zein are joined by J.R. Stormont from the Linux Foundation’s Tokenomics Foundation and Raj, Head of ValueOps at Broadcom, to explore the emerging discipline of Tokenomics.

Tokenomics goes far beyond counting tokens. With token consumption representing only a portion of the total cost of AI, organizations need a more comprehensive approach to understanding infrastructure costs, model selection, governance, and measurable business outcomes.

The conversation explores how enterprises can optimize AI investments by connecting technical efficiency to business value, selecting the right models for different workloads, and establishing governance frameworks that balance cost, security, data sovereignty, and compliance.

What does it take to build, manage, and scale Kubernetes in the enterprise?

Recorded live at VMware Explore 2026, this episode of the Virtually Speaking podcast welcomes Adam Tucker and May Large from MomentumAI to share their real-world experiences with enterprise Kubernetes, platform engineering, and VMware vSphere Kubernetes Service (VKS).

Drawing on their experience with Red Hat OpenShift and large-scale application environments, they discuss the operational challenges of managing Kubernetes at scale, the importance of declarative automation with Cluster API (CAPI), and the considerations involved in evaluating and adopting new platforms.

The conversation also explores practical approaches to migrating containerized workloads, simplifying Kubernetes operations, and enabling infrastructure and platform engineering teams to work more effectively together.

Whether you’re exploring VKS, modernizing your Kubernetes environment, or building a platform engineering strategy, this episode offers practical insights and lessons learned from the field.

AI is fundamentally changing the cybersecurity landscape, accelerating vulnerability discovery, enabling attackers to chain exploits, and forcing organizations to rethink traditional approaches to security and patch management.

Recorded live at VMware Explore 2026, the Virtually Speaking podcast welcomes Bob Plankers and Manish Gaur for a conversation about the evolving threat landscape, AI-powered vulnerability detection, and how VMware Cloud Foundation (VCF) is helping organizations strengthen their security posture.

The discussion explores how Broadcom is leveraging AI to analyze millions of lines of source code, why traditional CVSS-based vulnerability prioritization may no longer be sufficient, and how a shift toward monthly security patches is changing the way organizations approach lifecycle management.

The conversation also examines the importance of reducing attack surfaces, accelerating patch adoption, and leveraging capabilities such as snapshots, live patching, microsegmentation, and vDefend to improve cyber resilience.

Key Topics:

* How AI is transforming vulnerability discovery and exploitation
* Broadcom’s use of AI for proactive product security
* Why vulnerability chaining challenges traditional CVSS scoring
* Monthly security patches and the need for faster lifecycle management
* Reducing attack surfaces and managing open-source security risks
* Using snapshots and recovery capabilities to reduce patching risk
* Strengthening security through Zero Trust, microsegmentation, and vDefend

What happens when traditional enterprise automation meets agentic AI?

Recorded live at VMware Explore 2026, Pete Flecha and John Nicholson welcome Sean Roberts to Virtually Speaking to explore how Automic Automation, an advanced service for VMware Cloud Foundation (VCF), is helping enterprises orchestrate complex business workloads while preparing for the next generation of AI-driven automation.

From financial services and manufacturing to enterprise applications like SAP and Oracle, organizations rely on automation platforms to execute millions of critical jobs with reliability, scalability, and auditability.

But as enterprises begin introducing AI agents into these environments, new challenges emerge around governance, observability, explainability, and cost control.

Sean explains how Automic Automation provides the foundation for a hybrid approach, combining deterministic workflows with emerging agentic AI capabilities through an intelligent control plane.

In this episode, we discuss:

* Enterprise Workload Orchestration: How Automic Automation manages hundreds of millions of job executions across complex enterprise environments.
* Scalability and Reliability: Supporting tens of thousands of agents, high-throughput execution, failover, and 24/7 operations.
* Deterministic vs. Agentic AI: Why predictable, auditable automation remains essential as organizations adopt AI-driven workflows.
* Intelligent Control Planes: Bringing governance, orchestration, and control to hybrid automation environments.
* Observability and Explainability: Tracking workflow execution, AI decisions, token consumption, and operational performance.
* Private AI and VMware Cloud Foundation: Why data sovereignty, on-premises inference, and AI factories are becoming increasingly important.
* AI Economics and ROI: How enterprises can introduce agentic AI incrementally while maintaining control over cost and business outcomes.

Discover how Automic Automation and VMware Cloud Foundation can work together to provide a scalable, secure foundation for enterprise automation and AI.