KubeCon 2026 Announcements: VM API, Workload Conformance & Ecosystem Expansion

Coming to you from KubeCon + CloudNativeCon North America 2026 in Salt Lake City! In this episode of Virtually Speaking, Pete Flecha and Niran Evenchen sit down with Himanshu Singh to discuss VMware by Broadcom’s latest contributions to the cloud-native ecosystem, including advancements in VM API, Kubernetes workload conformance, and the rapidly expanding VMware Cloud Foundation ecosystem. The conversation explores how open collaboration and industry standards are helping organizations simplify Kubernetes operations, improve workload portability, and bring virtual machines and containers together under a common control plane. Topics include: VM API: Enabling vendor-neutral virtual machine management through Kubernetes. Kubernetes Workload Conformance: Building community-driven standards to improve application consistency and portability across platforms. VM Service: Bringing traditional VMs into Kubernetes environments without disrupting existing workloads. Ecosystem Momentum: 24 newly announced partner validations, bringing the VMware Cloud Foundation ecosystem to more than 100 validated partners. Private Cloud Innovation: Delivering integrated Kubernetes, VM, container, AI, storage, and networking services with greater choice and flexibility. Himanshu also shares how VMware engineers are contributing to open source projects and collaborating with the CNCF community to advance interoperability across the cloud-native ecosystem.  

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.  

Network performance issues don’t stop at the edge of your virtual infrastructure. From physical switches and WAN connections to public clouds and SaaS applications, understanding the entire network is critical to maintaining application performance and accelerating troubleshooting. Recorded live at VMware Explore 2026, Pete Flecha and John Nicholson welcome back Alec Pinkham to discuss the latest innovations in VMware Network Observability and how it extends visibility beyond VMware Cloud Foundation (VCF). Alec shares how new capabilities are making network operations quieter, easier, and smarter through intelligent alerting, AI-assisted root cause analysis, and deeper integration with VCF Operations for Networks. In this episode, we explore:     ●    Intelligent Alerting: Reduce alarm fatigue by identifying root causes, suppressing redundant alerts, and delivering actionable insights to network operators.     ●    End-to-End Network Visibility: Extend observability beyond NSX and the virtual environment to physical infrastructure, WAN connections, ISPs, public clouds, and SaaS applications.     ●    AI-Powered Operations: Accelerate troubleshooting with AI-assisted root cause analysis, continuous testing, and intelligent network configuration management.     ●    Physical Network Integration: Gain visibility into the physical infrastructure supporting VCF, with monitoring capabilities spanning more than 9,000 certified network devices.     ●    VCF Operations Integration: Bring network performance data alongside application and host telemetry to improve troubleshooting and collaboration between cloud and network teams.     ●    Proactive Vulnerability Management: Explore how agentic AI can help identify device vulnerabilities, configuration issues, and remediation opportunities.     ●    Performance Baselining: Understand why establishing network performance baselines before upgrading to VCF 9.1 helps validate successful deployments.     ●    Predictive Network Analytics: Discover how anomaly detection and intelligent alarm correlation help operators identify emerging issues and respond faster. Whether you’re managing a VMware Cloud Foundation environment, operating a hybrid cloud, or troubleshooting complex enterprise networks, this conversation highlights why complete network visibility matters more than ever. The key takeaway: Network observability isn’t just about understanding what’s happening inside your virtual environment. It’s about knowing where your traffic goes, what it depends on, and how to quickly identify problems across the entire network.

Moving to VMware Cloud Foundation doesn’t have to mean starting from scratch. But how do you decide what to keep, what to retire, and where to begin? Recorded at VMware Explore 2026, Pete Flecha and John Nicholson join Chris Kusek, host of Architects Edge, and David Linthicum to discuss the architecture decisions behind a practical VCF adoption strategy. The conversation explores brownfield deployments, hardware compatibility, storage flexibility, and balancing existing investments with the need to reduce technical debt. They also discuss how memory tiering can help address DRAM constraints and why private AI projects should start with a useful business outcome, an appropriate model, and a clear path to scale. In this episode: • Revisit assumptions about VCF requirements and deployment options • Assess existing infrastructure and build a phased migration plan • Decide when hardware reuse makes sense and when retirement delivers more value • Explore memory tiering and capabilities you may already own • Start private AI use cases on CPUs and scale as demand grows

Rising memory costs and unpredictable AI spending are changing how organizations plan their infrastructure. How can IT teams control costs while building for what comes next? Live from VMware Explore 2026, Pete Flecha and Jad El-Zein welcome Scott Patti and David Tareen from Lenovo to discuss memory tiering, hybrid AI, and the infrastructure behind VMware Cloud Foundation. The conversation explores how memory tiering helps address DRAM cost pressures, why tokenomics extends beyond the price of tokens, and how Lenovo Hybrid AI Factory complements VMware AI Factory with infrastructure sizing, stack certification, and deployment services. They also discuss matching AI inference workloads to CPUs and GPUs, bringing enterprise and AI workloads into a familiar operating model, and Lenovo’s Top Choice Express program for getting infrastructure into customers’ hands faster.

A cracked floor tile. A massive hole. A soldier holding up a rack carrying an entire military base’s communications. What could possibly go wrong? Recorded live at VMware Explore 2026, Pete Flecha and John Nicholson welcome returning guest Jeremy Wright for another edition of Fire, Flood & Blood, where IT practitioners share their unforgettable stories from the field. Jeremy takes us back to 2007, working as a civilian sysadmin on a U.S. military base in Iraq. An attempt to repair cracked tiles turned into excavation beneath a running data center, leaving a critical communications rack dangerously close to collapse. And that wasn’t the only challenge: an Abrams tank took out aerial fiber, and torrential rain poured onto server racks. It’s a memorable reminder that infrastructure reliability depends on more than the equipment inside the rack.