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Deploy an Application

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4.1.x
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Deploy an Application#

This section will help you to deploy an application.

Create a PersistentVolumeClaim#

The next step is to create a PersistentVolumeClaim. Pods will use PersistentVolumeClaims to request Hostpath Local PV from the OpenEBS Dynamic Local PV provisioner.

  1. Here is the configuration file for the PersistentVolumeClaim. Save the following PersistentVolumeClaim definition as local-hostpath-pvc.yaml

    kind: PersistentVolumeClaim
    apiVersion: v1
    metadata:
    name: local-hostpath-pvc
    spec:
    storageClassName: openebs-hostpath
    accessModes:
    - ReadWriteOnce
    resources:
    requests:
    storage: 5G

  2. Create the PersistentVolumeClaim

    kubectl apply -f local-hostpath-pvc.yaml

  3. Look at the PersistentVolumeClaim:

    kubectl get pvc local-hostpath-pvc

    The output shows that the STATUS is Pending. This means PVC has not yet been used by an application pod. The next step is to create a Pod that uses your PersistentVolumeClaim as a volume.

    NAME STATUS VOLUME CAPACITY ACCESS MODES STORAGECLASS AGE
    local-hostpath-pvc Pending openebs-hostpath 3m7s

Create Pod to Consume OpenEBS Local PV Hostpath Storage#

  1. Here is the configuration file for the Pod that uses Local PV. Save the following Pod definition to local-hostpath-pod.yaml.

    apiVersion: v1
    kind: Pod
    metadata:
    name: hello-local-hostpath-pod
    spec:
    volumes:
    - name: local-storage
    persistentVolumeClaim:
    claimName: local-hostpath-pvc
    containers:
    - name: hello-container
    image: busybox
    command:
    - sh
    - -c
    - 'while true; do echo "`date` [`hostname`] Hello from OpenEBS Local PV." >> /mnt/store/greet.txt; sleep $(($RANDOM % 5 + 300)); done'
    volumeMounts:
    - mountPath: /mnt/store
    name: local-storage
    note

    As the Local PV storage classes use waitForFirstConsumer, do not use nodeName in the Pod spec to specify node affinity. If nodeName is used in the Pod spec, then PVC will remain in pending state. See here for more details.

  2. Create the Pod:

    kubectl apply -f local-hostpath-pod.yaml

  3. Verify that the container in the Pod is running.

    kubectl get pod hello-local-hostpath-pod

  4. Verify that the data is being written to the volume.

    kubectl exec hello-local-hostpath-pod -- cat /mnt/store/greet.txt

  5. Verify that the container is using the Local PV Hostpath.

    kubectl describe pod hello-local-hostpath-pod

    The output shows that the Pod is running on Node: gke-user-helm-default-pool-3a63aff5-1tmf and using the persistent volume provided by local-hostpath-pvc.

    Name: hello-local-hostpath-pod
    Namespace: default
    Priority: 0
    Node: gke-user-helm-default-pool-3a63aff5-1tmf/10.128.0.28
    Start Time: Thu, 16 Apr 2020 17:56:04 +0000
    ...
    Volumes:
    local-storage:
    Type: PersistentVolumeClaim (a reference to a PersistentVolumeClaim in the same namespace)
    ClaimName: local-hostpath-pvc
    ReadOnly: false
    ...

  6. Look at the PersistentVolumeClaim again to see the details about the dynamically provisioned Local PersistentVolume

    kubectl get pvc local-hostpath-pvc

    The output shows that the STATUS is Bound. A new Persistent Volume pvc-864a5ac8-dd3f-416b-9f4b-ffd7d285b425 has been created.

    NAME STATUS VOLUME CAPACITY ACCESS MODES STORAGECLASS AGE
    local-hostpath-pvc Bound pvc-864a5ac8-dd3f-416b-9f4b-ffd7d285b425 5G RWO openebs-hostpath 28m

  7. Look at the PersistentVolume details to see where the data is stored. Replace the PVC name with the one that was displayed in the previous step.

    kubectl get pv pvc-864a5ac8-dd3f-416b-9f4b-ffd7d285b425 -o yaml

    The output shows that the PV was provisioned in response to PVC request spec.claimRef.name: local-hostpath-pvc.

    apiVersion: v1
    kind: PersistentVolume
    metadata:
    name: pvc-864a5ac8-dd3f-416b-9f4b-ffd7d285b425
    annotations:
    pv.kubernetes.io/provisioned-by: openebs.io/local
    ...
    spec:
    accessModes:
    - ReadWriteOnce
    capacity:
    storage: 5G
    claimRef:
    apiVersion: v1
    kind: PersistentVolumeClaim
    name: local-hostpath-pvc
    namespace: default
    resourceVersion: "291148"
    uid: 864a5ac8-dd3f-416b-9f4b-ffd7d285b425
    ...
    ...
    local:
    fsType: ""
    path: /var/openebs/local/pvc-864a5ac8-dd3f-416b-9f4b-ffd7d285b425
    nodeAffinity:
    required:
    nodeSelectorTerms:
    - matchExpressions:
    - key: kubernetes.io/hostname
    operator: In
    values:
    - gke-user-helm-default-pool-3a63aff5-1tmf
    persistentVolumeReclaimPolicy: Delete
    storageClassName: openebs-hostpath
    volumeMode: Filesystem
    status:
    phase: Bound

note

A few important characteristics of an OpenEBS Local PV can be seen from the above output:

  • spec.nodeAffinity specifies the Kubernetes node where the Pod using the Hostpath volume is scheduled.
  • spec.local.path specifies the unique subdirectory under the BasePath (/var/local/openebs) defined in the corresponding StorageClass.

Deploy Stateful Workloads#

The application developers will launch their application (stateful workloads) that will in turn create Persistent Volume Claims for requesting the Storage or Volumes for their pods. The Platform teams can provide templates for the applications with associated PVCs or application developers can select from the list of Storage Classes available for them.

As an application developer, all you have to do is substitute the StorageClass in your PVCs with the OpenEBS Storage Classes available in your Kubernetes cluster.

Here are examples of some applications using OpenEBS:

  • PostgreSQL
  • Percona
  • Redis
  • MongoDB
  • Cassandra
  • Prometheus
  • Elastic
  • MinIO

Managing the Life Cycle of OpenEBS Components#

Once the workloads are up and running, the platform or the operations team can observe the system using the cloud native tools like Prometheus, Grafana, and so forth. The operational tasks are a shared responsibility across the teams:

  • Application teams can watch out for the capacity and performance and tune the PVCs accordingly.
  • Platform or Cluster teams can check for the utilization and performance of the storage per node and decide on expansion and spreading out of the Data Engines.
  • Infrastructure team will be responsible for planning the expansion or optimizations based on the utilization of the resources.

See Also#

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