Add SSD storageClass example

Author: mkuratczyk

docs/examples/production/README.md docs/examples/production-ready/README.md

@@ -15,3 +15,5 @@ kubectl apply -f rabbitmq.yaml
 ```
 
 Please keep in mind that you need a multi-zone Kubernetes cluster with 12 CPUs, 30Gi RAM, 1.5Ti disk space available as well as a `storageClass` called `ssd` to deploy this example as-is. Of course you can adjust these values to your environment if needed.
+
+An SSD storage class can be defined using [the example](ssd-gke.yaml) (which is GKE-specific and needs to be adjusted for other environments). Read more about the expected disk perforamnce [in Google Cloud Documentation](https://cloud.google.com/compute/docs/disks/performance#ssd_persistent_disk).

docs/examples/production/rabbitmq.yaml docs/examples/production-ready/rabbitmq.yaml

@@ -1,7 +1,7 @@
 apiVersion: rabbitmq.com/v1beta1
 kind: RabbitmqCluster
 metadata:
-  name: production
+  name: production-ready
 spec:
   replicas: 3
   resources:

ssd-gke.yaml

@@ -0,0 +1,12 @@
+# This example is GKE specific, other Kubernetes deployments will have a different `storageClass` for SSD disks.
+#
+# https://cloud.google.com/kubernetes-engine/docs/how-to/persistent-volumes/ssd-pd
+# https://cloud.google.com/compute/docs/disks/performance#ssd_persistent_disk
+apiVersion: storage.k8s.io/v1
+kind: StorageClass
+metadata:
+  name: ssd
+provisioner: kubernetes.io/gce-pd
+parameters:
+  type: pd-ssd
+