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Deprecation notice

This repository is deprecated, and will soon be archived. Instructions for the new operator can be found here.

Vitess Operator

The Vitess Operator provides automation that simplifies the administration of Vitess clusters on Kubernetes.

The Operator installs a custom resource for objects of the custom type VitessCluster. This custom resource allows you to configure the high-level aspects of your Vitess deployment, while the details of how to run Vitess on Kubernetes are abstracted and automated.

Vitess Components

A typical VitessCluster object might expand to the following tree once it's fully deployed. Objects in bold are custom resource kinds defined by this Operator.

  • VitessCluster: The top-level specification for a Vitess cluster. This is the only one the user creates.
    • VitessCell: Each Vitess cell represents an independent failure domain (e.g. a Zone or Availability Zone).
      • Lockserver (etcd-operator): Vitess needs its own etcd cluster to coordinate its built-in load-balancing and automatic shard routing. Vitess supports multiple lockservers but the operator only supports etcd right now.
      • Deployment (orchestrator): An optional automated failover tool that works with Vitess.
      • Deployment (vtctld): A pool of stateless Vitess admin servers, which serve a dashboard UI as well as being an endpoint for the Vitess CLI tool (vtctlclient).
      • Deployment (vtgate): A pool of stateless Vitess query routers. The client application can use any one of these vtgate Pods as the entry point into Vitess, through a MySQL-compatible interface.
      • VitessKeyspace (db1): Each Vitess keyspace is a logical database that may be composed of many MySQL databases (shards).
        • VitessShard (db1/0): Each Vitess shard is a single-master tree of replicating MySQL instances.
          • StatefulSet(s) (vttablet): Within a shard, there may be many Vitess tablets (individual MySQL instances).
          • PersistentVolumeClaim(s)
        • VitessShard (db1/1)
          • StatefulSet(s) (vttablet)
          • PersistentVolumeClaim(s)
      • VitessKeyspace (db2)
        • VitessShard (db2/0)
          • StatefulSet(s) (vttablet)
          • PersistentVolumeClaim(s)


  • Kubernetes 1.8+ is required for its improved CRD support, especially garbage collection.
    • This config currently requires a dynamic PersistentVolume provisioner and a default StorageClass.
  • etcd-operator

Deploy the Operator

Once the Operator is installed, you can create VitessCluster objects in any namespace as long as the etcd operator is runing in that namespace or is running clusterwide mode.

kubectl apply -R -f deploy

Create a VitessCluster

kubectl apply -f my-vitess.yaml

View the Vitess Dashboards

Wait until the cluster is ready:

kubectl get vitessclusters -o ',READY:.status.phase'

You should see:

vitess    Ready

Start a kubectl proxy:

kubectl proxy --port=8001

Then visit:


Clean Up

# Delete the VitessCluster  and etcd objects
kubectl delete -f my-vitess.yaml
# Uninstall the Vitess Operator
kubectl delete -R -f deploy


  • Create a StatefulSet for each VitessTablet in a VitessCluster
  • Create a Job to elect the initial master in each VitessShard
  • Fix parenting and normalization
  • Create vtctld Deployment and Service
  • Create vttablet service
  • Create vtgate Deployment and Service
  • Create PodDisruptionBudgets
  • Reconcile all the things!
  • Label pods when they become shard masters
  • Add the ability to automatically merge/split a shard
  • Add the ability to automatically export/import resources from embedded objects to separate objects and back
  • Move shard master election into the operator


  • Install the operator sdk
  • Configure local kubectl access to a test Kubernetes cluster
  • Create the CRDs in your Kubernetes cluster
    • kubectl apply -f deploy/crds
  • Run the operator locally
    • operator-sdk up local
  • Create the sample cluster
    • kubectl create -f my-vitess.yaml


DEPRECATED: Vitess Operator provides automation that simplifies the administration of Vitess clusters on Kubernetes.





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