Multi-Tenant Operator

Cluster per team sounds right. By month six, you'll know it isn't.

MTO is the enterprise platform layer between Kubernetes and your teams — tenant isolation, self-service provisioning, cost visibility, and compliance enforcement, out of the box.

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6×
more clusters than planned
40%
platform time on maintenance
0
teams with cost visibility
OpenShift AKS EKS GKE Any Kubernetes Red Hat Certified
The wrong problem

You're solving the wrong problem

"Give each team its own cluster" sounds like isolation. By month six it's sprawl: snowflake clusters, drifting policies, a cloud bill nobody can explain, and a platform team that's the bottleneck for every request.

This is not a Kubernetes problem. It's a platform problem.

01

Namespace ≠ multi-tenancy

A namespace is a label. Isolation requires policy, network, RBAC, and quotas enforced together — not a name.

02

Primitives ≠ a platform

RBAC, NetworkPolicy, ResourceQuota are building blocks. You still have to assemble the platform every time.

03

Self-service without guardrails is a compliance risk

Freedom without policy enforcement is controlled chaos. Teams ship whatever works locally. Auditors notice.

The platform layer

A platform layer between Kubernetes and your teams

Instead of one cluster per team, you run few clusters with many secure, isolated tenants. MTO enforces the boundaries, automates the provisioning, and makes compliance the default.

The six pillars

Six pillars. All production-ready.

Tenancy is the fastest win. The rest of the platform is already there when you need it.

Pillar 01 — Tenancy

Tenants are first-class — RBAC, network policies, and quotas provisioned on onboarding and enforced continuously, not just at setup.

Outcome — Secure multi-tenancy at scale — enforce once, inherit everywhere.

Pillar 02 — Templates

Golden templates for namespaces, apps, and infra. Encode your best practices once — every team inherits them automatically.

Outcome — Teams onboard in minutes. Environments stay consistent.

Pillar 03 — Hibernation

Automatic sleep/wake on a schedule for dev and staging, with on-demand activation. Nobody uses non-prod at 2am — the bill shouldn't either.

Outcome — Up to 60% savings on non-production compute.

Pillar 04 — FinOps

Every tenant's consumption tracked automatically, with showback, chargeback, and per-tenant budget alerts. Finance finally has answers.

Outcome — Cost is transparent, controllable, and accountable.

Pillar 05 — Extensions

ArgoCD, OpenBao/Vault, Keycloak, LGTM observability — standardised, tested, and provisioned per tenant on onboarding. The full stack, not raw primitives.

Outcome — A consistent platform experience from day one — no wiring required.

Pillar 06 — Compliance

Policies enforced at admission — non-compliant configs rejected before they reach the cluster. ISO, DORA, and SOC 2 baselines applied automatically.

Outcome — Compliance is automatic — not a project that runs every quarter.

Interactive Demo

Explore MTO

Take a guided walkthrough and see how MTO helps platform teams manage tenants, guardrails, and self-service on Kubernetes and OpenShift.

Build vs buy

The question isn't whether you build this layer

Every team running Kubernetes at scale ends up building it. The only question is how long it takes — and who maintains it forever.

Capability Build yourself MTO
Multi-tenancy layer 3–4 months Day one
Policy engine 2–3 months + ongoing tuning Day one
Cost tracking 3–6 months integration Day one
Templates system 2–3 months + drift maintenance Day one
Ecosystem integrations Ongoing — every tool is custom Plug-and-play
Compliance framework 6–12 months, auditor-dependent Policy-as-Code, built in

Option A — Build it yourself

  • 6–18 months of engineering
  • Ongoing maintenance forever
  • Key-person dependency
  • No roadmap, no support
  • Still incomplete at v1

Option B — Start with MTO today

  • Production-ready in weeks
  • Proven patterns, continuous updates
  • Supported by the experts who built it
  • Red Hat certified
  • Immediate cost savings from Hibernation

You're not choosing between MTO and nothing. You're choosing between MTO and 18 months of internal engineering that produces an incomplete, unmaintained version of it — which you then own forever.

Before / after

From chaos to platform

The same six pressures, before MTO and after — across cluster model, onboarding, security, cost, scaling, and compliance.

Cluster model

Cluster per team — sprawl inevitable, complexity multiplies

Tenants in shared clusters — controlled scale, add teams not clusters

Onboarding

Manual setup — days per team, platform team is the bottleneck

Automated provisioning — minutes per tenant, teams self-serve inside guardrails

Security

Policies drift — every cluster different, baselines diverge

Policy-driven enforcement — security inherits everywhere, no drift

Cost visibility

Cost blindness — no visibility per team, finance can't explain the bill

Per-tenant showback from day one — every team accountable

Platform scaling

Platform team burns out — queue grows, headcount is the only answer

Self-service platform — scales without headcount, queue disappears

Compliance

Manual audit prep — a project every quarter, reactive and expensive

Continuous enforcement — audit-ready by default, governance automatic

Customer evidence

Different stacks. The same platform problem, solved.

Public sector, retail, SaaS, and credit intelligence — across OpenShift, EKS, and GKE.

Enento

Credit & Business Intelligence · Nordic

Amazon EKS
TenancyTemplatesFinOpsCompliance
  • Environment setup: days → hours
  • GDPR compliance enforced by default
  • Cloud spend accountable per team

CSN

Public Sector · Sweden

OpenShift · On-Prem
TenancyHibernationFinOpsCompliance
  • Non-prod compute cost significantly reduced
  • Spend visible per team
  • Audit-ready by default

Coop

Retail · Cooperative · Nordic

Google GKE
TenancyFinOpsTemplates
  • Cost visibility per cooperative entity
  • Consistent baseline across 4 countries
  • Self-service team onboarding

Kisters

Environmental SaaS · Germany

OpenShift · On-Prem
TenancyTemplatesExtensionsCompliance
  • Scalable SaaS customer onboarding
  • Infra cost tracked per customer
  • Jurisdiction compliance automated
Why Stakater

Product experts, not platform generalists

MTO is built and supported by the team that has been running multi-tenant Kubernetes since 2015 — and certified by Red Hat.

Red Hat Premier Partner

Deepest OpenShift integration and support in the ecosystem. Certified at the highest partner tier.

Red Hat Certified Operator

MTO is Red Hat certified — enterprise-grade, with a supported lifecycle, not a side project.

Multi-Tenancy Specialists

This is not a side product. We have been building and running multi-tenant Kubernetes platforms since 2015.

Product + Consulting

We deploy with you, not just ship a licence. Pilot to production, with the engineers who built MTO.

Start with a pilot

One cluster, two or three teams, one to two weeks

No big-bang transformation. Just enough to see MTO working in your environment before you scale it out.

01 / Step

Workshop / Assessment

Map your current setup and define the right rollout.

02 / Step

Pilot Deployment

MTO running in your cluster in one to two weeks.

03 / Step

Platform Maturity Roadmap

From pilot to organisation-wide platform.

Multi-Tenant Operator

You'll build this platform layer eventually.

Start with a pilot — one cluster, two or three teams, one or two weeks. See it working in your environment.

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