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vCluster

vCluster

Software Development

San Francisco, California 22,960 followers

About us

At vCluster, we build the tools that make Kubernetes simpler, more efficient, and cost-effective. Our open-source projects enable platform engineers to streamline multi-tenancy, reduce cloud costs, and scale their Kubernetes environments with ease. With over 100 enterprises using our solutions, we’re focused on helping teams move faster, save money, and maintain stability in their platform stacks. Whether you’re managing multi-tenant clusters or optimizing resource usage, vCluster provides the building blocks to make it happen.

Website
https://vcluster.com
Industry
Software Development
Company size
51-200 employees
Headquarters
San Francisco, California
Type
Privately Held
Specialties
Kubernetes, vCluster, DevPod, JsPolicy, Cloud-Native Technologies, EKS, AKS, GKE, k3s, Multi-tenancy, Platform Engineering, Cloud Cost, virtual clusters, FinOps, and Developer Self-Service

Products

Locations

  • Primary

    415 Mission St

    Fl. 37

    San Francisco, California 94105, US

    Get directions

Employees at vCluster

Updates

  • View organization page for vCluster

    22,960 followers

    Don't miss this session at NVIDIA GTC 2026, Lukas Gentele joins Adam Tetelman and Alex Saroyan to break down how to build production-ready, multi-tenant GPU infrastructure for AI workloads. Learn about network automation, virtualization, orchestration platforms, and walk through a reference architecture integrating Run:ai, Base Command Manager, vCluster, and Netris. Production starts here. 🚀 📅 March 19 | 3:00 p.m. PST Session details: https://lnkd.in/gJXTkwMH #NVIDIAGTC

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  • KinD clusters rarely survive longer than a demo. Every setup change means rebuilding from scratch. No real LoadBalancer without MetalLB. Images need to be pushed before they're usable. And collaboration? Not part of the design. vCluster in Docker (vind) changes this. Three commands. Less than three minutes. No homelab. No cloud costs. A real Kubernetes control plane in Docker, with built-in LoadBalancer, pause/resume, and secure cluster sharing. Invite a teammate into your actual running local environment. Or attach an external VM as a worker node over Tailscale VPN with a single curl command. When you're ready for production, move the same config to Helm and deploy on a real cluster. Like a Lego brick. Read the full breakdown by Artem Lajko ☁️ ⎈: https://lnkd.in/gcBK6VJi

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  • vCluster reposted this

    No more cert lookups! vCluster just made etcd debugging actually enjoyable vCluster Platform v4.7 and vCluster v0.32 are out 🚀. This release is focused on resilience, troubleshooting and day-2 operations. I tested it on my home lab k3s setup straight away. 🔍 Debug Shell How many times have you needed to inspect etcd and spent 10 minutes just finding the right certificates? The new Debug Shell attaches an ephemeral container directly to your virtual cluster's control plane pod. Pre-wired commands, correct certs, no context-switching. Right from the browser, without leaving the Platform UI. I had it running in under 2 minutes on a fresh virtual cluster. 🖥️ Virtual Cluster Status Page This one is quietly very useful. A single view showing lifecycle phase, control plane health and surfaced conditions. Actionable information not just raw events. When a cluster is stuck you now know exactly why. 📦 Other highlights - Kubernetes v1.35 support - Embedded etcd now available on the free plan - Postgres and MySQL backing store across all major cloud providers - Observability guides for every tenancy model Day-2 operations shouldn't require day-2 heroics. This release is a step in the right direction. 🔽 Full changelog link in first comment #Kubernetes #DevOps #PlatformEngineering #vCluster #CloudNative #k3s #etcd

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  • View organization page for vCluster

    22,960 followers

    Troubleshooting is part of running any production system. We're making it even easier for virtual clusters. Platform v4.7 and vCluster v0.32 are live. Focused on resilience, troubleshooting, and day-2 operations. Platform v4.7 and vCluster v0.32 fix this head-on. The new Debug Shell lets you attach an ephemeral container to your virtual cluster's embedded etcd directly from the UI or CLI. Pre-wired commands, correct certificates, no context-switching. vcluster debug shell $NAME and you're in. The new Virtual Cluster Status Page gives you a single view of lifecycle phase, control plane health, and surfaced conditions, actionable information, not just raw events. We've also expanded the external database backing store to support Postgres and MySQL across all major cloud providers, added Kubernetes v1.35, and published observability guides for every tenancy model. Day-2 operations shouldn't require day-2 heroics. 👉 Full release notes: https://lnkd.in/dztZHkKR #Kubernetes #PlatformEngineering #vCluster #CloudNative #DevOps

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  • vCluster reposted this

    Our portfolio company vCluster has launched vind (vCluster in Docker), a new way to run full Kubernetes clusters directly as Docker containers. Built on top of vCluster, it combines virtual Kubernetes clusters with Docker-native simplicity. Local images are instantly available through pull-through cache. Load balancers work out of the box. Clusters can be paused and resumed instead of destroyed. Kubernetes versions can be upgraded in place. Even remote nodes like cloud GPUs can be joined directly into a local cluster. vind ultimately removes the friction of manual image imports, unreliable local load balancers, and constantly rebuilding clusters just to make routine Kubernetes changes. Fully open source and built for modern development workflows, vind reflects a faster, lighter, and developer-first cloud-native tooling that eliminates complexity. Congrats to Lukas Gentele and the vCluster team on this milestone! #Kubernetes #CloudNative #DevOps #PlatformEngineering #OpenSource

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  • View organization page for vCluster

    22,960 followers

    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? #Kubernetes #MultiTenancy #AI #Agents #LLM #vCluster

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

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

    www.linkedin.com

  • vCluster reposted this

    The Kubernetes multi-tenancy landscape looks different from what it did a year ago. k3k hit v1.0 with two modes: shared and virtual, the latter running full nested K3s with its own CNI. Kamaji and Gardener are growing fast. Meanwhile, KubeSphere's open source is gone, HNC and Kiosk are archived, and KubeFed is dead. The bigger shift: tools no longer sit at a single point on the spectrum. vCluster now covers everything from namespace syncing to dedicated control planes with their own nodes and infrastructure. And k0smotron bridges hosted control planes to full, dedicated clusters via its CAPI provider. The clean linear model from last year doesn't hold. And there's a new type of tenant showing up (hello, AI agents!) that's pushing multi-tenancy beyond just how you slice the cluster. More on that tomorrow! Come, ask questions, grill me live. 👉 https://lnkd.in/g7jj-CtZ

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  • In this session, we walk through deploying GPU-backed Kubernetes clusters with NVIDIA Run:ai on AWS using vCluster. You'll see how to set up the host cluster, provision isolated tenant environments with their own Kubernetes control planes, and pair Run:ai's GPU scheduling with vCluster's virtual clusters so each team gets full autonomy without fragmenting your infrastructure. We'll cover both hard and soft isolation models, show Private Nodes and Shared Nodes in action, and demonstrate how to keep GPU utilization high while giving platform teams the governance they need.

    From Shared GPUs to Isolated Clusters: Run:ai + vCluster on AWS

    From Shared GPUs to Isolated Clusters: Run:ai + vCluster on AWS

    www.linkedin.com

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Funding

vCluster 3 total rounds

Last Round

Series A

US$ 24.0M

See more info on crunchbase