Multi Attach Volume Errors

When troubleshooting Kubernetes issues, understanding workloads and configuration, RBAC, and networking is crucial. In this article, we address a common error developers encounter when working with Kubernetes storage: the multi-attach error for volumes. In our demo, we use a Cloud Shell on Microsoft Azure connected to a Kubernetes cluster. All demo resources are deployed in the “monitoring” namespace, including a Deployment named “logger” and two PersistentVolumeClaims (PVCs) named “azure-managed-disk” and “my-azurefile”.

Inspecting Current Resources

The following command outputs the pods, deployments, replicasets, and PVCs in the “monitoring” namespace:

kk_lab_user_main-c76398c34414452 [ ~ ]$ k get all -n monitoring
NAME                                      READY   STATUS    RESTARTS   AGE
pod/logger-6cf5df489f-txkrn               1/1     Running   0          33s

NAME                                      READY   UP-TO-DATE   AVAILABLE   AGE
deployment.apps/logger                   1/1     1            1           34s

NAME                                         DESIRED   CURRENT   READY   AGE
replicaset.apps/logger-6cf5df489f           1         1         1       34s

kk_lab_user_main-c76398c34414452 [ ~ ]$ k get pvc -n monitoring
NAME                  STATUS   VOLUME                                     CAPACITY   ACCESS MODES   STORAGECLASS   VOLUMEATTRIBUTESCLASS   AGE
azure-managed-disk    Bound    pvc-4ce98f56-f535-4c82-894a-1b8cfd8772b6   1Gi        RWO            managed-csi    <unset>                30m
my-azurefile         Bound    pvc-6ff3912e-b286-4b4e-8667-54812603878d   1Gi        RWX            my-azurefile   <unset>                30m
kk_lab_user_main-c76398c34414452 [ ~ ]$

Next, we review the Deployment definition for “logger”. Notice that the pod template defines a volume backed by the PVC “azure-managed-disk”, mounted at /usr/share/nginx/html:

kk_lab_user_main-c76398c34414452 [ ~ ]$ k get deployment logger -n monitoring -o yaml

Triggering a Multi-Attach Error

For demonstration purposes, we intentionally trigger an error by performing a rollout restart. The expected behavior is that the Deployment restarts, allowing the new pod to attach the volume only after the old pod terminates. Run the following commands:

kk_lab_user_main-c76398c34414452 [ ~ ]$ kubectl rollout restart deployment logger -n monitoring
deployment.apps/logger restarted
kk_lab_user_main-c76398c34414452 [ ~ ]$ kubectl get pods -n monitoring --watch
NAME                                    READY   STATUS              RESTARTS   AGE
logger-5bd9b57f4f-vscr2                 0/1     ContainerCreating   0          7s
logger-6cf5d48f9f-txkrn                 0/1     ContainerCreating   0          2m1s

After a few seconds, you may observe that the new pod takes longer than expected to start, and a multi-attach error is reported. This error arises because the volume remains attached to the old pod while the new pod attempts to attach it. The correct behavior would have the new pod attach the volume only after the old pod terminates.

One workaround is to manually remove the “blocking” old pod by scaling the Deployment down to zero and then back up. This intervention ensures only one pod is running at a time.

Manual Scaling Workaround

The commands below demonstrate how to scale down and then scale back up the Deployment:

kk_lab_user_main-c76398c34414452 [ ~ ]$ kubectl get pods -n monitoring --watch
kk_lab_user_main-c76398c34414452 [ ~ ]$ kubectl scale deployment logger --replicas=0 -n monitoring
kk_lab_user_main-c76398c34414452 [ ~ ]$ kubectl get pods -n monitoring --watch
# (No pods running)
kk_lab_user_main-c76398c34414452 [ ~ ]$ kubectl scale deployment logger --replicas=1 -n monitoring
kk_lab_user_main-c76398c34414452 [ ~ ]$ kubectl get pods -n monitoring --watch
logger-5bd9b574f-k858q  0/1     ContainerCreating   2s
logger-5bd9b574f-k858q  1/1     Running             15s

While this quick fix works, it is not ideal for production environments where automatic deployments are critical. An alternative approach involves changing the update strategy.

Update Strategies: RollingUpdate vs. Recreate

Kubernetes Deployments use the RollingUpdate strategy by default. This creates new pods while keeping the old one running until the new pod is ready, maintaining availability during updates. However, because new pods are created before the old ones are terminated, the volume may temporarily attach to both pods, triggering a multi-attach error when the underlying storage does not support simultaneous attachments. Below is a snippet of the Deployment configuration using RollingUpdate:

matchLabels:
  app: logger
strategy:
  rollingUpdate:
    maxSurge: 25%
    maxUnavailable: 25%
  type: RollingUpdate
template:
  metadata:
    annotations:
      kubectl.kubernetes.io/restartedAt: "2024-08-24T15:25:31Z"
    labels:
      app: logger
  spec:
    affinity:
      podAntiAffinity:
        requiredDuringSchedulingIgnoredDuringExecution:
          - labelSelector:
              matchExpressions:
                - key: app
                  operator: In
                  values:
                    - logger
            topologyKey: kubernetes.io/hostname
    containers:
      - image: nginx:latest
        imagePullPolicy: Always
        name: logger
        resources: {}
        terminationMessagePath: /dev/termination-log
        terminationMessagePolicy: File
    volumes:
      - name: logger-volume
        persistentVolumeClaim:
          claimName: azure-managed-disk

The image illustrates a rolling update strategy for Kubernetes, showing the transition from Replica Set V1.0 to V2.0, with Pod 1 being replaced.

Switching to the Recreate Strategy

The Recreate strategy terminates all old pods before creating new ones, thereby preventing overlapping volume attachments. This is useful when your application cannot support multiple versions running simultaneously. To test this workaround, update your Deployment YAML to change the strategy:

strategy:
  type: Recreate

After saving the change, execute a rollout restart:

kk_lab_user_main-c76398c34414452 [~]$ kubectl edit deployment logger -n monitoring
kk_lab_user_main-c76398c34414452 [~]$ kubectl rollout restart deployment logger -n monitoring
deployment.apps/logger restarted
kk_lab_user_main-c76398c34414452 [~]$ kubectl get pods -n monitoring --watch
NAME                       READY   STATUS    RESTARTS   AGE
logger-7877b5c98d-57htv   1/1     Running   0          4s

With the Recreate strategy, the old pod is terminated before the new one starts, avoiding the multi-attach error. However, be aware that this solution may reduce availability during updates.

Assessing Storage Backend Access Modes

Another factor contributing to the multi-attach error is the access mode of the storage backend. Each persistent volume is linked to a storage class that supports specific access modes, such as ReadWriteOnce (RWO) or ReadWriteMany (RWX). For example, if multiple pods on the same node access a volume with RWO, you might not face issues. However, if the pods are scheduled on different nodes, RWO will trigger a multi-attach error because it allows attachment to only one node. In our demo, the Azure Disk supports only RWO:

kk_lab_user_main-c76398c34414452 [ ~ ]$ k get pv
NAME                                         CAPACITY   ACCESS MODES   RECLAIM POLICY   STATUS   CLAIM                                   STORAGECLASS   VOLUMEATTIBUTESCLASS
pvc-4ce98f56-f335-4c82-894a-1b8cfd8772b6   1Gi        RWO            Delete           Bound    monitoring/azure-managed-disk           managed-csi    <unset>
pvc-6ff3912e-b286-4b4e-8667-548126037bd4   1Gi        RWX            Delete           Bound    monitoring/my-azurefile                 my-azurefile   <unset>
kk_lab_user_main-c76398c34414452 [ ~ ]$

If your application requires RWX support, consider using a storage backend like Azure Files. In our example, we switch the Deployment to use a PVC based on Azure File. Update the volume claim reference and, if needed, restore the RollingUpdate strategy:

volumes:
  - name: logger-volume
    persistentVolumeClaim:
      claimName: my-azurefile

Below is a snippet of the updated Deployment configuration, which also includes pod anti-affinity rules forcing the new pod to be scheduled on a different node:

affinity:
  podAntiAffinity:
    requiredDuringSchedulingIgnoredDuringExecution:
      - labelSelector:
          matchExpressions:
            - key: app
              operator: In
              values:
                - logger
        topologyKey: kubernetes.io/hostname
containers:
  - image: nginx:latest
    imagePullPolicy: Always
    name: logger
    volumeMounts:
      - mountPath: /usr/share/nginx/html
        name: logger-volume
volumes:
  - name: logger-volume
    persistentVolumeClaim:
      claimName: my-azurefile

After applying these changes, restart the Deployment:

kk_lab_user_main-c76398c34414452 [ ~ ]$ kubectl edit deployment logger -n monitoring
kk_lab_user_main-c76398c34414452 [ ~ ]$ kubectl rollout restart deployment logger -n monitoring
deployment.apps/logger restarted
kk_lab_user_main-c76398c34414452 [ ~ ]$ kubectl get pods -n monitoring
NAME                       READY   STATUS    RESTARTS   AGE
logger-5f6fd55f8-dvghn   1/1     Running   0          7s
kk_lab_user_main-c76398c34414452 [ ~ ]$

Now, with a volume that supports RWX, multiple pods running on different nodes can attach the volume concurrently without triggering a multi-attach error. The following command displays sample output for persistent volumes:

kk_lab_user_main-c76398c344144452 [ ~ ]$ k get pv
NAME                                               CAPACITY   ACCESS MODES   RECLAIM POLICY   STATUS   CLAIM                               STORAGECLASS        VOLUMEATTIBUTESCLASS
pvc-4ce98f56-f355-4c82-894a-18bcfd87726b           1Gi       RWO            Delete           Bound    monitoring/azure-managed-disk    managed-csi         <unset>
pvc-6ff3912e-b286-4b4e-8677-5481260378d4           1Gi       RWX            Delete           Bound    monitoring/my-azurefile          my-azurefile        <unset>
kk_lab_user_main-c76398c344144452 [ ~ ]$ k edit deployment logger -n monitoring
deployment.apps/logger edited

kk_lab_user_main-c76398c344144452 [ ~ ]$ kubectl rollout restart deployment logger -n monitoring
kk_lab_user_main-c76398c344144452 [ ~ ]$ k get pods -n monitoring
NAME                     READY   STATUS    RESTARTS   AGE
logger-5f6fd55f8-dwvgh   1/1     Running   0          7s
kk_lab_user_main-c76398c344144452 [ ~ ]$

Now multiple pods can run across different nodes simultaneously without encountering a multi-attach volume error.

Summary of Solutions

Approach	Description	Use Case
Manual Scaling	Scale the Deployment down to zero and then back up to ensure only one pod is running and attached to the volume at any time.	Quick fix during rollouts in non-production environments.
Update Strategy Change	Switch the Deployment update strategy from `RollingUpdate` to `Recreate` so the old pod terminates before a new pod is created, preventing overlapping attachments.	Environments where application downtime during updates is acceptable.
Adjust Access Modes	Use a storage backend that supports the required access mode (e.g., RWX for multi-node attachments) instead of one that allows only RWO.	Applications requiring simultaneous volume access by multiple pods across different nodes.

The image is a summary slide listing three points: removing or scaling a pod to zero, changing deployment update strategy, and comparing ReadWriteOnce with ReadWriteMany.

Before deploying any storage volume, review the storage class documentation to verify which access modes are supported. Choose a storage solution that aligns with your application requirements.

This article outlines the causes of multi-attach volume errors and provides several workarounds, from manual scaling to configuration updates. By understanding your storage backend’s access modes and adjusting your Deployment strategy accordingly, you can ensure your Kubernetes applications run smoothly in production.

Introduction

Prerequisites

Troubleshooting Scenarios

Multi Attach Volume Errors

Inspecting Current Resources

Triggering a Multi-Attach Error

Manual Scaling Workaround

Update Strategies: RollingUpdate vs. Recreate

Switching to the Recreate Strategy

Assessing Storage Backend Access Modes

Summary of Solutions

Watch Video

Practice Lab

​Inspecting Current Resources

​Triggering a Multi-Attach Error

​Manual Scaling Workaround

​Update Strategies: RollingUpdate vs. Recreate

​Switching to the Recreate Strategy

​Assessing Storage Backend Access Modes

​Summary of Solutions

Watch Video

Practice Lab

Inspecting Current Resources

Triggering a Multi-Attach Error

Manual Scaling Workaround

Update Strategies: RollingUpdate vs. Recreate

Switching to the Recreate Strategy

Assessing Storage Backend Access Modes

Summary of Solutions