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Workshop Series

Welcome to Multi-Tenancy March

A hands-on livestream series covering different approaches to multi-tenancy, GPU sharing, and enforcing policies at scale hosted by vCluster in collaboration with LearnKube

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This event is for:

  • Platform/cloud/infrastructure engineers and architects responsible for building shared platforms used by multiple teams

  • DevOps engineers looking to strengthen their expertise in Kubernetes

  • Solution architects responsible for designing scalable and cost-effective Kubernetes clusters

You’ll Learn:

  • Different approaches to multi-tenancy, their pros and cons, and how to choose the right solution for your specific use case

  • GPU Multi-Tenancy: When to Share, When to Separate

  • How to enforce Policies Across Multi-Tenant Kubernetes at Scale

Tuesday, Feb. 24
7:00 AM PT / 10:00 AM ET
LIVESTREAM 1

The Multi-Tenancy Spectrum 2026: From Team Isolation to Agent Sandboxing

Not all multi-tenancy is created equal. From namespace-based isolation to virtual clusters to fully separate clusters, there’s a spectrum of approaches — each with different trade-offs in security, complexity, and operational overhead. In this session, you’ll explore the current landscape of Kubernetes multi-tenancy options, compare tools like vCluster, Capsule, Kamaji, kcp, and k3k, and learn how to choose the right isolation model for your specific use case.

We’ll also explore a trend reshaping how we think about tenants: the rise of AI agent sandboxing. As LLM-powered tools gain system access, a new class of ephemeral, disposable environments is emerging — raising the question: is agent isolation just multitenancy with a different tenant profile?

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Thursday, Mar. 5
8:00 AM PT / 11:00 AM ET
LIVESTREAM 2

GPU Multi-Tenancy: When to Share, When to Separate

Every organization running AI workloads on Kubernetes faces the same question: do we share GPUs across teams, or give each team dedicated resources? The answer isn’t obvious — and getting it wrong means either wasted GPUs or frustrated teams. This session provides a practical framework for deciding which GPU workloads can share infrastructure, which need isolation, and how to evolve your approach as AI adoption grows.

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Thursday, Mar. 19
8:00 AM PT / 11:00 AM ET
LIVESTREAM 3

Enforcing Policies Across Multi-Tenant Kubernetes at Scale

You’ve set up tenants, namespaces, and quotas. But how do you ensure every tenant follows the rules — and what happens when they don’t? In this session, you’ll explore policy enforcement in multi-tenant Kubernetes: requiring specific labels, blocking privileged containers, restricting image registries, enforcing resource limits. You’ll learn how to use Kyverno (or similar tools) to define policies as code, detect drift when teams work around constraints, handle the inevitable exception requests, and audit compliance across dozens of namespaces.

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Monday, Mar. 23
in-person Workshop

Kubernetes Platform Blueprint

Mar 23, 2026 | 11:30 - 17:30 CET | Van der Valk Hotel Amsterdam Zuidas

Building a Kubernetes Platform comes with its own set of challenges. Scaling across teams, securing multi-tenant workloads, and (how can we forget!), handling the surging demand for AI infrastructure.

Join us for a no-BS workshop where we move beyond the theory. Led by industry experts Daniele Polencic, Artem Lajko, and Saiyam Pathak, this event provides a practical 'blueprint' for the modern platform engineer. We will dive deep into creating seamless developer experiences, managing secure multi-tenancy, and leveraging virtual clusters to orchestrate GPU-heavy AI workloads without the overhead of physical cluster sprawl.

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