Run Hyper Converged
When a pod runs on the same host as its volume, it is known as convergence or hyper-convergence. Because this configuration reduces the network overhead of an application, performance is typically better.
Using scheduler convergence
The recommended method to run your pods hyperconverged is to use Stork.
Once you have installed Stork, all you need to do is add
schedulerName: stork in your application specs. Stork will then ensure that the nodes with data for a volume get prioritized when pods are being scheduled.
For example, this is how you would specify the scheduler name in a MySQL deployment:
apiVersion: apps/v1 kind: Deployment metadata: name: mysql spec: selector: matchLabels: app: mysql strategy: rollingUpdate: maxSurge: 1 maxUnavailable: 1 type: RollingUpdate replicas: 1 template: metadata: labels: app: mysql version: "1" spec: schedulerName: stork containers: - image: mysql:5.6 name: mysql env: - name: MYSQL_ROOT_PASSWORD value: password ports: - containerPort: 3306 volumeMounts: - name: mysql-persistent-storage mountPath: /var/lib/mysql volumes: - name: mysql-persistent-storage persistentVolumeClaim: claimName: mysql-data
Initializer (Experimental feature in Stork v1.1)
If you are not able to update the schedulerName for you applications to use stork, you can enable the app-initializer feature. This uses the Kubernetes AdmissionController Initializer feature to automatically update the scheduler to stork if your application (deployment or statefulset) is using volumes backed by Portworx.
To enable the Initializer you need to:
* Enable the Intializer feature in your Kubernetes cluster since it is an alpha feature in Kubernetes.
* Add “–app-initializer=true” option in the stork deployment
* Add the stork-initializer spec to your Kubernetes cluster using
kubectl apply -f stork-initializer.yaml