Multi Tenancy & Policy Management
Too many teams, one Kubernetes platform
Different teams and customers share the same clusters, but access, quotas, and policies rarely scale safely without constant manual intervention and risk.
Multi Tenancy & Policy Management
Too many teams, one Kubernetes platform
Different teams and customers share the same clusters, but access, quotas, and policies rarely scale safely without constant manual intervention and risk.
Multi-tenancy that scales without the risk
Running multiple teams, customers, or business units on shared Kubernetes clusters creates a constant tension between speed and control. Without a clear tenancy model, namespaces multiply without boundaries, quotas get set manually and forgotten, and one team’s misconfiguration can affect another’s workloads. Multi-tenancy and policy as code solve this by defining who gets access to what, at which resource level, and enforcing it automatically before a change reaches the cluster. The result is a platform multiple teams can share safely, with governance defined in code instead of tribal knowledge.
Benefits
- Onboarding a new team or customer in hours, not weeks
- Policy violations blocked automatically before deployment, not caught after an incident
- One consistent governance model across on-prem and public cloud clusters
The cost of waiting
Every namespace without a boundary becomes technical debt. Every tenant added without policy is another exception someone has to remember manually.
The good news
None of this requires reinventing your platform
It requires defining tenancy and policy as code, once, and enforcing it automatically from then on.
Our Solution
Multi-tenancy and policy, defined as code
A structured multi-tenancy model gives every team, customer, or business unit a clearly scoped slice of the platform, whether that’s a namespace, a dedicated virtual cluster via vCluster, or, for the highest isolation needs, a physically separate cluster. Resource quotas, network policies, and RBAC bindings are defined declaratively for each tenant, so capacity and access boundaries are explicit and enforced automatically, not negotiated case by case.
On top of this, Open Policy Agent and Kyverno enforce policy as code: rules like “no privileged containers,” “mandatory resource limits,” or “no public load balancers in this namespace” are written once, versioned in Git, and applied consistently across every cluster and environment.
Unlike manual RBAC management or cluster-by-cluster exceptions, this approach scales linearly: every new tenant follows the same declarative pattern, and every policy change is a reviewed, auditable pull request instead of a support ticket.
Benefits:
- Onboard new tenants in hours
- Policies enforced the same everywhere
- Every change reviewed, versioned in Git
Technologies & Partner
The technologies behind the platform
OPA
Open Policy Agent evaluates every request against your rules at admission time, before it ever reaches the cluster.
ArgoCD
ArgoCD deploys tenancy and policy updates straight from Git, so a new tenant follows the same reviewed path as any other change.
Kyverno
Kyverno writes policies as Kubernetes resources, so your team validates and mutates manifests without learning a separate policy language.
VMware by Broadcom
The same tenancy and policy model runs on VMware by Broadcom infrastructure as it does anywhere else.
vCluster architecture
vCluster gives each tenant a virtual control plane inside a shared host cluster, near-dedicated isolation at a fraction of the overhead.
Microsoft Azure
On Azure, tenants get the identical quotas, policies, and audit trail as your on-prem environment.
Scale tenants, not risk
Every team or customer you onboard onto a shared Kubernetes platform without a defined tenancy model adds risk you’ll eventually have to unwind manually. A policy as code approach to multi-tenancy lets your platform scale the number of tenants without scaling the operational and security risk alongside it.
Ready to bring order to your clusters
Tell us about your current tenancy setup, and we’ll show you what policy as code looks like for your platform.
Marco Di Martino
Business Unit Lead – Cloud Native
FAQs
Commonly asked questions about Multi Tenancy & Policy Management
Yes, and they solve different problems. Multi-tenancy defines the boundaries: who gets which namespace, cluster, or vCluster, and how much quota. Policy as code defines what’s allowed inside those boundaries, regardless of who is asking.
They operate at different points in the lifecycle and catch different classes of problems. Policy-as-code (OPA, Kyverno) works at admission time. Before a resource is created or updated in the cluster. It validates or blocks Kubernetes manifests based on declared rules: does this pod request privileged mode, does it skip a resource limit, does this namespace violate its quota. It’s a static, declarative check against configuration. Container runtime security works at execution time. After the container is already running. This is where Aqua Security fits: it monitors actual container behavior in production, detects known vulnerabilities in running images, flags anomalous process activity, unexpected network connections, or file system changes, and can block or kill a compromised container in real time. It catches what policy-as-code structurally cannot — a legitimate, policy-compliant container that gets exploited after deployment, or a vulnerability in a base image that wasn’t known when the manifest was written.
Following a repeatable template, a new namespace or vCluster can be running within hours instead of the weeks manual RBAC setup used to take, with quotas and policies applied automatically from day one.