OVHcloud Managed Kubernetes (MKS)

Provision, import, and operate OVHcloud Managed Kubernetes (MKS) clusters with Ankra - free and standard control planes, node pools, upgrades, GitOps, and AI-assisted operations.

OVHcloud Managed Kubernetes (MKS) runs on OVHcloud Public Cloud. OVHcloud runs the control plane; Ankra provisions the cluster, then manages everything on top - node pools, Kubernetes upgrades, addons, stacks, GitOps, and AI-assisted operations.

This page covers OVHcloud MKS specifically. For the shared concepts across all managed providers - live options, discovery/import, and day-2 API patterns - see Managed Kubernetes.

Why OVHcloud MKS with Ankra

• Free or standard control plane - pick the OVHcloud control-plane plan that fits the workload.
• Private networking and anti-affinity - attach a private network and spread nodes with anti-affinity where supported.
• Live pricing and options - regions, Kubernetes versions, and node flavors are fetched live with your OVHcloud credential.

Prerequisites

OVHcloud application keys with a Public Cloud project (project_id), stored in Ankra. See OVH API Credentials.

GitOps is optional: connect a repository at creation and Ankra commits the cluster’s stack definitions to Git.

Creating an OVHcloud MKS cluster

Portal

1. Create Cluster

   Go to Clusters → Create Cluster and pick OVHcloud’s Cloud Managed action.

2. Credential & Region

   Select the OVHcloud credential and a region (for example GRA9). Regions load live from OVHcloud.

3. Node Pools

   Define one or more worker pools: name, node flavor (with live pricing), count, labels, and autoscaling bounds.

4. Kubernetes & Plan

   Pick a Kubernetes version or keep the default, choose the control-plane plan (free or standard), and set the update policy.

5. GitOps (optional) & Create

   Optionally connect a Git repository, then create. Ankra runs OVHcloud preflight checks, provisions the cluster, retrieves the kubeconfig, and installs the Ankra Agent.

CLI

ankra cluster managed create \
  --provider ovh_mks \
  --name my-ovh-cluster \
  --credential-id <ovh-credential-id> \
  --location GRA9 \
  --node-pool-name workers \
  --node-pool-size b2-7 \
  --node-pool-count 2

Plan, private network, anti-affinity, update policy, and node-pool autoscaling bounds are set from the portal or the API. The CLI accepts ovh_mks (and the ovh-mks alias).

API

curl -X POST https://platform.ankra.app/org/clusters/managed/ovh_mks \
  -H "Authorization: Bearer $ANKRA_API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "name": "my-ovh-cluster",
    "credential_id": "<ovh-credential-id>",
    "location": "GRA9",
    "kubernetes_version": "1.32",
    "node_pools": [
      {"name": "workers", "size": "b2-7", "count": 2}
    ],
    "ovh_mks": {"plan": "free", "anti_affinity": false, "monthly_billed": false}
  }'

OVHcloud MKS options

Field	Description
ovh_mks.plan	Control-plane plan (free or standard)
ovh_mks.private_network_id	Attach the cluster to a private network
ovh_mks.anti_affinity	Spread nodes with anti-affinity
ovh_mks.monthly_billed	Bill nodes monthly instead of hourly
ovh_mks.update_policy	Node update policy

Day-2 operations

Node pools, upgrades, and deletion work from the CLI, portal, or API. The CLI examples use --provider ovh_mks:

# scale a pool to a fixed count
ankra cluster managed node-pool scale <cluster_id> workers --provider ovh_mks --count 5

# upgrade the cluster
ankra cluster managed upgrade <cluster_id> --provider ovh_mks --version 1.32

# delete the cluster
ankra cluster managed delete <cluster_id> --provider ovh_mks

Autoscaling bounds are set from the portal or the PATCH .../node-pools/{name} endpoint. See Managed Kubernetes - day-2 operations for the shared mechanics.

Importing an existing MKS cluster

Already running OVHcloud MKS? Discover clusters in your Public Cloud project and adopt them into Ankra without touching them. Discovery and import run from the portal or API - see Managed Kubernetes - importing existing clusters.

Related

• Managed Kubernetes overview
• OVH API Credentials
• Cluster settings