Resolving managed Cloud Service Mesh issues

This document explains common Cloud Service Mesh problems and how to resolve them, such as when a pod is injected with istio.istio-system, the installation tool generates errors such as HTTP 400 status codes and cluster membership errors.

If you need additional assistance troubleshooting Cloud Service Mesh, see Getting support.

Revision(s) reporting as unhealthy error

You may see a generic Revision(s) reporting unhealthy error if the service agent for managed Cloud Service Mesh does not have the required Identity and Access Management (IAM) role. Generally, this occurs when the role is revoked by Terraform, Puppet, or CI/CD reconfiguration.

The steps required to troubleshoot this error depend on whether you are using the Google Cloud console or the Google Cloud CLI.

Google Cloud console

  1. In the Google Cloud console, navigate to the IAM & Admin > IAM.

  2. Select Include Google-provided role grants.

  3. Review the Principal list.

    If you see the service agent with the required IAM role in the list, then it is configured correctly.

    If the list doesn't include the service agent and the required role, then continue to the next step.

  4. Grant the Anthos Service Mesh Service Agent role (roles/anthosservicemesh.serviceAgent) to the Cloud Service Mesh service agent on the project. For instructions, see Manage access to projects, folders, and organizations.

Google Cloud CLI

  1. In the Google Cloud CLI, run the following command to check if the required IAM role has been granted:

    gcloud projects get-iam-policy PROJECT_ID  \
    --flatten="bindings[].members" \
    --filter=" AND bindings.role:roles/anthosservicemesh.serviceAgent" \
  2. Review the ROLE list.

    If you see any roles in the list, then it is configured correctly.

    If you don't see any roles in the list, then the required role was revoked.

  3. To grant the required role to the service agent, run the following command:

     gcloud projects add-iam-policy-binding PROJECT_ID \
     --member="" \

The install tool generates HTTP 400 errors

The installation tool might generate HTTP 400 errors like the following:

HealthCheckContainerError, message: Cloud Run error: Container failed to start.
Failed to start and then listen on the port defined by the PORT environment
variable. Logs for this revision might contain more information.

The error can occur if you did not enable Workload Identity on your Kubernetes cluster, which you can do by using the following command:

export CLUSTER_NAME=...
export PROJECT_ID=...
export LOCATION=...
gcloud container clusters update $CLUSTER_NAME --zone $LOCATION \

Managed data plane state

The following command displays the state of the managed data plane:

gcloud container fleet mesh describe --project PROJECT_ID

The following table lists all possible managed data plane states:

State Code Description
ACTIVE OK The managed data plane is running normally.
DISABLED DISABLED The managed data plane will be in this state if no namespace or revision is configured to use it. Follow the instructions to enable managed Cloud Service Mesh via the fleet API, or enable the managed data plane after provisioning managed Cloud Service Mesh with asmcli. Note that the managed data plane status reporting is only available if you enabled the managed data plane by annotating a namespace or revision. Annotating individual pods causes those pods to be managed but with a feature state of DISABLED if no namespaces or revisions are annotated.
FAILED_PRECONDITION MANAGED_CONTROL_PLANE_REQUIRED The managed data plane requires an active managed Cloud Service Mesh control plane.
PROVISIONING PROVISIONING The managed data plane is being provisioned. If this state persists for more than 10 minutes, an error has likely occurred and you should contact Support.
STALLED INTERNAL_ERROR The managed data plane is blocked from operating due to an internal error condition. If the issue persists, contact Support.
NEEDS_ATTENTION UPGRADE_FAILURES The managed data plane requires manual intervention in order to bring the service back to the normal state. For more information and how to resolve this issue, see NEEDS_ATTENTION state.


If the gcloud container fleet mesh describe command shows that the managed data plane state is in NEEDS_ATTENTION state and the code is UPGRADE_FAILURES, then the managed data plane has failed to upgrade certain workloads. These workloads will be labeled with dataplane-upgrade: failed by the managed data plane service for further analysis. The proxies must be restarted manually to be upgraded. To get the list of pods that require attention, run the following command:

kubectl get pods --all-namespaces -l dataplane-upgrade=failed

Cluster membership error (No identity provider specified)

The installation tool might fail with Cluster membership errors like the following:

asmcli: [ERROR]: Cluster has CRD but no identity
provider specified. Please ensure that an identity provider is available for the
registered cluster.

The error can occur if you don't have GKE workload identity enabled before registering the cluster. You can re-register the cluster on the command line by using the gcloud container fleet memberships register --enable-workload-identity command.

Check the managed control plane status

To check the managed control plane status, run gcloud container fleet mesh describe --project FLEET_PROJECT_ID.

In the response, the membershipStates[].servicemesh.controlPlaneManagement.details field might explain the specific error.

If you need more details, then check the ControlPlaneRevision custom resource in the cluster, which is updated when the managed control plane is provisioned or fails provisioning.

To inspect the status of the resource, replace NAME with the value corresponding to each channel: asm-managed, asm-managed-stable, or asm-managed-rapid.

kubectl describe controlplanerevision NAME -n istio-system

The output is similar to:

    Name:         asm-managed


        Last Transition Time:  2021-08-05T18:56:32Z
        Message:               The provisioning process has completed successfully
        Reason:                Provisioned
        Status:                True
        Type:                  Reconciled
        Last Transition Time:  2021-08-05T18:56:32Z
        Message:               Provisioning has finished
        Reason:                ProvisioningFinished
        Status:                True
        Type:                  ProvisioningFinished
        Last Transition Time:  2021-08-05T18:56:32Z
        Message:               Provisioning has not stalled
        Reason:                NotStalled
        Status:                False
        Type:                  Stalled

The Reconciled condition determines whether the managed control plane is running correctly. If true, the control plane is running successfully. Stalled determines whether the managed control plane provisioning process has encountered an error. If Stalled, the Message field contains more information about the specific error. See Stalled codes for more information about possible errors.

ControlPlaneRevision Stalled Codes

There are multiple reasons the Stalled condition could become true in the ControlPlaneRevisions status.

Reason Message Description
PreconditionFailed Only GKE memberships are supported but ${CLUSTER_NAME} is not a GKE cluster. The current cluster does not appear to be a GKE cluster. Managed control plane only works on GKE clusters.
Unsupported ControlPlaneRevision name: ${NAME} The name of the ControlPlaneRevision must be one of the following:
  • asm-managed
  • asm-managed-rapid
  • asm-managed-stable
Unsupported ControlPlaneRevision namespace: ${NAMESPACE} The namespace of the ControlPlaneRevision must be istio-system.
Unsupported channel ${CHANNEL} for ControlPlaneRevision with name${NAME}. Expected ${OTHER_CHANNEL} The name of the ControlPlaneRevision must match the channel of the ControlPlaneRevision with the following:
  • asm-managed -> regular
  • asm-managed-rapid -> rapid
  • asm-managed-stable -> stable
Channel must not be omitted or blank Channel is a required field on the ControlPlaneRevision. It is missing or blank on the custom resource.
Unsupported control plane revision type: ${TYPE} managed_service is the only allow field for the ControlPlaneRevisionType field.
Unsupported Kubernetes version: ${VERSION} Kubernetes versions 1.15+ are supported.
Workload identity is not enabled Please enable workload identity on your cluster.
Unsupported workload pool: ${POOL} The workload pool must be of the form ${PROJECT_ID}
ProvisioningFailed An error occurred updating cluster resources Google was unable to update your in-cluster resources such as CRDs and webhooks.
MutatingWebhookConfiguration "istiod-asm-managed" contains a webhook with URL of ${EXISTING_URL} but expected ${EXPECTED_URL} Google will not overwrite existing webhooks to avoid breaking your installation. Update this manually if it is desired behavior.
ValidatingWebhookConfiguration ${NAME} contains a webhook with URL of ${EXISTING_URL} but expected ${EXPECTED_URL} Google will not overwrite existing webhooks to avoid breaking your installation. Update this manually if it is desired behavior.

Managed Cloud Service Mesh is unable to connect to the GKE cluster

Between June 2022 and September 2022, Google completed security work related to Authorized Networks, Cloud Run and Cloud Functions on Google Kubernetes Engine (GKE). Projects that previously used managed Cloud Service Mesh but stopped using it before the migration do not have the API required for the communication between Cloud Run and GKE.

In this scenario, managed Cloud Service Mesh provisioning will fail and Cloud Logging will display the following error message:

Connect Gateway API has not been used in project [*PROJECT_NUMBER*] before or it is disabled.
Enable it by visiting[*PROJECT_NUMBER*] then retry.
If you enabled this API recently, wait a few minutes for the action to propagate to our systems and retry.

Filter this message using the following query:

jsonPayload.message=~"Connect Gateway API has not been used in project"

In the meantime, sidecar injection and deploying any Cloud Service Mesh related Kubernetes custom resources will also fail and Cloud Logging will display the following warning message:

Error creating: Internal error occurred: failed calling webhook
"": failed to call webhook: an error on
the server ("unknown") has prevented the request from succeeding.

Filter this message using the following query:

jsonPayload.message=~"Internal error occurred: failed calling webhook"

To resolve the issue:

  1. Enable the required connectgateway API:

     gcloud services enable --project=[*PROJECT_ID*]
  2. Re-install managed Cloud Service Mesh.

  3. Perform a rolling restart on the workloads.

Google Cloud APIs are not enabled

If your managed Cloud Service Mesh fleet uses the TRAFFIC_DIRECTOR control plane implementation, then certain APIs must be enabled.

  1. Enable all required APIs, including those listed as "Can Be Disabled" when not using managed Cloud Service Mesh.

    gcloud services enable --project=[*PROJECT_ID*] \ \ \
  2. Ensure that you don't have any automated tooling that will revert this change. If the error recurs, then update any relevant configurations or allow-lists.