Multi-cloud Kubernetes cluster management

Fragmented tooling and dashboards per cloud

A GKE cluster on GCP for one business unit, EKS for another, an on-prem RKE2 cluster for a regulated workload, and now an OVHcloud cluster for EU-sovereign compute. Each of these providers ships its own console, its own CLI, its own way of doing things. There's no global view of cluster health, capacity, or security policy across every environment, just N providers and N sets of tooling, each requiring specific expertise. 

Visibility is the first casualty, and every other operational task gets harder without it. Every additional cloud multiplies the surface area your team has to cover, and none of it makes the app workload running on top any more reliable.

RBAC sprawl and configuration drift across clusters

Every provider's managed Kubernetes service has its own identity and permission model, so multiple clouds mean multiple models. Defining a consistent security policy for an engineer, for developers, or for an auditor means repeating the same configuration in three or four consoles and syntaxes. Drift isn't a risk here, it's a certainty, and it's the challenge that scales worst. A permission granted on one cluster and forgotten on another is a compliance gap that surfaces during an audit, not before.

Drift extends well beyond permissions. Networking rules, resource quotas, workload isolation, and admission rules that were consistent at initial setup silently diverge as each cluster gets patched, upgraded, or hand-tuned by whoever is on call. Security governance drift is the most expensive version: a hardening rule applied on one cluster and never propagated is invisible until an incident or an audit exposes it.

GitOps that breaks at the boundary between clouds

GitOps should give you one source of truth for what runs where, and one continuous delivery pipeline for every environment. In practice, most teams run separate Fleet or ArgoCD instances per cloud, or maintain per-cloud pipelines, each with its own credentials, sync logic, and failure handling. Every added pipeline is one more failure point. 

The moment an application has to deploy consistently across multiple environments, on GKE in GCP, on EKS, and on-prem at once, the promise of a single Git repository breaks into three parallel delivery pipelines that drift apart. Traffic management goes the same way: load balancers, global traffic routing, and cross-cluster traffic policy handled cloud by cloud instead of as one networking rule. Hyperscaler-anchored tools don't fix this cleanly either, because they route telemetry and permission data through US infrastructure even when your worker nodes sit in an EU region, whatever the physical location of the hardware.

The hidden cost of self-hosting Rancher yourself

Self-hosting is one solution to the cloud-agnostic challenge, since a single Kubernetes-centric tool then manages any CNCF-conformant cluster. It creates a new one: now your team maintains that tool. High availability configuration, a backing datastore, certificate rotation, and quarterly upgrades all land on your backlog, on top of the clusters underneath. A self-hosted management layer is a product in its own right, with an infrastructure footprint that must be sized and patched properly, with the same SRE attention as the estate it governs. A hosted solution removes that layer.

Architecture: the Manager on OVHcloud, agents on every cluster

One architecture distinction matters first: OVHcloud does not manage your clusters on GKE, EKS, or AKS directly. The Manager is what's hosted on OVHcloud, in the EU region of your choice, a single location under a single jurisdiction. A lightweight, outbound-only agent runs on each of your Kubernetes clusters, wherever they live, and reports back. Your existing GKE, EKS, AKS, or on-prem clusters stay where they are, under your own accounts and responsibility.

Every cluster type, whether cloud-managed, self-managed, or OVHcloud-native, appears in the same UI, behind the same API, and can be provisioned through the same Terraform resources. Teams that standardize on Ansible or Pulumi keep those workflows too. If your clusters share a container image store, OVHcloud Managed Private Registry provides a Harbor-based registry every cluster can pull from, regardless of which cloud or region it runs in.

Pattern A: import existing GKE, EKS, AKS or on-prem clusters

If you already run Kubernetes clusters on GCP, AWS, Azure, or your own data centers, you don't migrate anything. Install the agent on each existing cluster, it opens an outbound-only connection to the Manager, and the cluster appears within minutes. There's no re-platforming, no deployment disruption, and no change to how you're deploying applications on that cluster today. Existing workloads continue to run exactly as before.

Pattern B: provision new RKE2 or k3s clusters on any infrastructure

For new clusters rather than imported ones, use the Manager to provision RKE2, a production-grade, CIS-benchmark-hardened Kubernetes distribution, or k3s, a lightweight distribution suited to edge deployments. Both run on any infrastructure with compute available: on-prem bare metal, VMs, or IaaS instances on any cloud provider, in any region. The provisioning workflow, RBAC, and centralized monitoring are identical in every region, wherever the resulting nodes physically sit.

Pattern C: add OVHcloud MKS as the sovereign EU cluster

The third architecture pattern is the sovereign solution: an OVHcloud-native cluster for any workload that specifically requires EU sovereignty. OVHcloud Managed Kubernetes Service clusters register in the same Manager as your imported and provisioned clusters, and appear as first-class citizens beside them, with the same UI, the same RBAC, and the same GitOps pipelines. Unlike clusters on third-party clouds, OVHcloud fully manages the MKS control plane itself, so this is the one cluster type in your estate with zero control-plane operational burden on your side.

Unified access control across every cluster, define once, propagate everywhere

Define a role once and propagate it to every Kubernetes cluster, instead of repeating it in three or four separate consoles. Users sign in through the same identity provider everywhere. Every grant, revocation, and per-user permission change lands in one consistent audit trail, which is the difference between an access review that takes an afternoon and one that takes a week.

Onboarding a new engineer becomes one provisioning step, not a per-cloud checklist, and tickets about who can access what stop being research projects. For an organization running clusters on more than one cloud, that single control point is what makes a compliance audit tractable, and what lets it demonstrate the data privacy commitments it has made to its own users.

Multi-cluster GitOps with Rancher Fleet

Fleet lets you define applications once in a GitHub repository and sync them by label selector, for example all EU production clusters or every staging environment, rather than maintaining a separate pipeline per provider. Drift between what's declared in Git and what's running is detected and reconciled automatically on every cluster in the selector, which is version control applied to infrastructure rather than code alone.

This is centralized management for workload isolation and namespace policy alike: the same rules apply everywhere, which is the only way to ensure consistency on clusters nobody checks often. It's the direct solution to delivery pipeline fragmentation, with one source of truth and one sync engine, whether the target workload runs on GKE, on-prem, or on OVHcloud MKS. Our guide to multi-cluster management is the place to learn more about day-to-day operation once an estate is set up, and how teams streamline releases across regions.

Cluster lifecycle: upgrades, provisioning, deprovisioning via UI, API or Terraform

Kubernetes version upgrades are orchestrated across every cluster with configurable surge settings, instead of separate maintenance windows per cluster per cloud. You can automate provisioning, upgrading, and deprovisioning through the same UI, the same API, the same Terraform resources, or your existing Ansible workflows, and you get current status visibility without switching consoles, depending on nothing but the cluster itself.

The commands your engineers already know keep working identically. Switch context, then run the same operations:

kubectl create namespace payments-staging
kubectl get events --all-namespaces

That consistency turns lifecycle management from an error-prone exercise into a repeatable, automated one. It removes complexity that would otherwise grow with every complex multi-region deployment, letting a small team effectively manage a large estate at scale, from development through to production.

Centralized monitoring and logging with Prometheus and Grafana

Prometheus and Grafana integrate at estate scale, giving you one unified, multi-cluster observability stack across every cluster instead of a different tool and setup per cloud. Metrics storage and log aggregation are enabled the same way on every node in every region, and the same dashboards, alerting rules, and runbook guide apply whether an alert fires on a GKE cluster, an on-prem RKE2 cluster, or an OVHcloud MKS node. Reliability questions get one answer instead of one per provider, and usage and traffic trends become visible in a single global view.

Why add an EU-sovereign cluster (CLOUD Act, single-hyperscaler dependency)

If every cluster you run sits on a US hyperscaler, all of that control-plane data is subject to the US CLOUD Act, whatever the physical location of the worker nodes. The solution is to add OVHcloud Managed Kubernetes Service: a cluster whose control plane runs in a European region with no US parent company and no structural CLOUD Act exposure.

This matters for any organization, independently of which tool you use to manage the rest of your clusters. This approach reduces single-hyperscaler dependency for any critical workload, and it gives regulated teams in healthcare, financial services, and the public sector an EU-jurisdiction option without abandoning clusters they already run elsewhere.

MKS Free: add an OVHcloud cluster at zero cost

MKS is available as a free tier across all 14 regions, with no credit card required, so validating a sovereign EU cluster costs nothing. It runs inside your existing Public Cloud project, beside any other resources and nodes your team already uses. For a production workload, MKS Standard runs 3-AZ in the Paris region under a 99.99% service level agreement. Either tier registers exactly like any other cluster, with the same RBAC, the same GitOps, and the same monitoring, in whichever region you pick.

100% open source, zero lock-in: your exit path is self-hosting, not migration

Rancher is released under the Apache License 2.0, and the RKE2 and k3s distributions it provisions are CNCF projects. OVHcloud doesn't run a proprietary fork or add a closed feature layer on top: it's the identical upstream project, cloud-agnostic and hosted for you as a managed solution. If you later decide to bring management back in-house, your exit path is self-hosting that same project, not a migration and not a rewrite of how your clusters are configured. The clusters are unaffected either way, because they were never locked into anything beyond standard Kubernetes and standard agents.