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KEDA 缩放器不与使用 pod 身份对服务总线队列进行身份验证的触发器定义的缩放对象进行缩放。我正在关注这个KEDA 服务总线触发的扩展项目。
缩放适用于连接字符串，但是当我尝试使用 KEDA 缩放器的 pod 身份进行缩放时，keda 操作员无法使用以下 keda 操作员错误消息日志获取绑定到它的 azure 身份：

github.com/kedacore/keda/v2/pkg/scaling.(*scaleHandler).isScaledObjectActive
        /workspace/pkg/scaling/scale_handler.go:228
github.com/kedacore/keda/v2/pkg/scaling.(*scaleHandler).checkScalers
        /workspace/pkg/scaling/scale_handler.go:211
github.com/kedacore/keda/v2/pkg/scaling.(*scaleHandler).startScaleLoop
        /workspace/pkg/scaling/scale_handler.go:145
2021-10-10T17:35:53.916Z        ERROR   azure_servicebus_scaler error   {"error": "failed to refresh token, error: adal: Refresh request failed. Status Code = '400'. Response body: {\"error\":\"invalid_request\",\"error_description\":\"Identity not found\"}\n"}

编辑于 11/09/2021 我在 keda 打开了一个 github issue，我们做了一些故障排除。但正如@Tom 所建议的那样，这似乎是 AAD Pod Identity 的一个问题。AD Pod Identity MIC pod 提供如下日志：

E1109 03:15:34.391759       1 mic.go:1111] failed to update user-assigned identities on node aks-agentpool-14229154-vmss (add [2], del [0], update[0]), error: failed to update identities for aks-agentpool-14229154-vmss in MC_Arun_democluster_westeurope, error: compute.VirtualMachineScaleSetsClient#Update: Failure sending request: StatusCode=0 -- Original Error: Code="LinkedAuthorizationFailed" Message="The client 'fe0d7679-8477-48e3-ae7d-43e2a6fdb957' with object id 'fe0d7679-8477-48e3-ae7d-43e2a6fdb957' has permission to perform action 'Microsoft.Compute/virtualMachineScaleSets/write' on scope '/subscriptions/f3786c6b-8dca-417d-af3f-23929e8b4129/resourceGroups/MC_Arun_democluster_westeurope/providers/Microsoft.Compute/virtualMachineScaleSets/aks-agentpool-14229154-vmss'; however, it does not have permission to perform action 'Microsoft.ManagedIdentity/userAssignedIdentities/assign/action' on the linked scope(s) '/subscriptions/f3786c6b-8dca-417d-af3f-23929e8b4129/resourcegroups/arun/providers/microsoft.managedidentity/userassignedidentities/autoscaler-id' or the linked scope(s) are invalid."

任何线索如何解决它？

我的缩放器对象的定义如下：

apiVersion: keda.sh/v1alpha1
kind: TriggerAuthentication
metadata:
  name: trigger-auth-service-bus-orders
spec:
  podIdentity:
    provider: azure
---
apiVersion: keda.sh/v1alpha1 
kind: ScaledObject
metadata:
  name: order-scaler
spec:
  scaleTargetRef:
    name: order-processor
  # minReplicaCount: 0 Change to define how many minimum replicas you want
  maxReplicaCount: 10
  triggers:
  - type: azure-servicebus
    metadata:
      namespace: demodemobus
      queueName: orders
      messageCount: '5'
    authenticationRef:
      name: trigger-auth-service-bus-orders

我将 azure 身份部署到namespace keda我的 keda 部署所在的位置。并使用以下命令安装 KEDA 以设置pod identity bindingusing helm：

helm install keda kedacore/keda --set podIdentity.activeDirectory.identity=app-autoscaler --namespace keda

预期行为 KEDA 缩放器应该与分配的 pod 身份和访问令牌一起正常工作以执行缩放

实际行为 KEDA 操作员无法找到分配的 azure 标识并且缩放失败

Scaler 使用 Azure 服务总线

重现问题的步骤

  1. 为 KEDA 创建 azure 标识和绑定
  2. 使用 aadpodidentitybinding 安装 KEDA
  3. 使用 KEDA pod 身份创建缩放对象并触发身份验证
  4. 缩放器无法进行身份验证和缩放
4

2 回答 2

1

不幸的是，这看起来像是身份本身和 AD Pod 身份的问题，它们可能有点不稳定（根据我的经验）

于 2021-10-13T07:07:51.300 回答
0

首先，我将 AKS 与 kubenet 插件一起使用。

默认情况下，“从版本 v1.7 开始，在使用 Kubenet 的集群上默认禁用 AAD Pod 身份。”

这是因为 Kubenet 容易受到 ARP 欺骗。请在此处阅读。

即使这样，您也可以有一个解决方法来在 Kubenet 驱动的 AKS 中启用 KEDA 缩放。（该脚本也适用于其他 CNI，除非您不需要使用aad-pod-identity组件nmi daemonset定义 yaml 编辑任何内容，如果它与您的集群插件一起运行良好。 ）。

下面我将为此添加一个 e2e 脚本。请访问github 问题以访问所有讨论。

# Define aks name and resource group
$aksResourceGroup = "K8sScalingDemo"
$aksName = "K8sScalingDemo"

# Create resource group
az group create -n $aksResourceGroup -l centralindia

# Create the aks cluster with default kubenet plugin
az aks create -n $aksName -g $aksResourceGroup

# Resourcegroup where the aks resources will be deployed
$resourceGroup = "$(az aks show -g $aksResourceGroup -n $aksName --query nodeResourceGroup -otsv)"

# Set the kubectl context to the newly created aks cluster
az aks get-credentials -n $aksName -g $aksResourceGroup

# Install AAD Pod Identity into the aad-pod-identity namespace using helm
kubectl create namespace aad-pod-identity
helm repo add aad-pod-identity https://raw.githubusercontent.com/Azure/aad-pod-identity/master/charts
helm install aad-pod-identity aad-pod-identity/aad-pod-identity --namespace aad-pod-identity

# Check the status of installation 
kubectl --namespace=aad-pod-identity get pods -l "app.kubernetes.io/component=mic"
kubectl --namespace=aad-pod-identity get pods -l "app.kubernetes.io/component=nmi"

# the nmi components will Crashloop, ignore them for now. We will make them right later

# Get Resourcegroup Id of our $ResourceGroup
$resourceGroup_ResourceId = az group show --name $resourceGroup --query id -otsv

# Get the aks cluster kubeletidentity client id
$aad_pod_identity_clientid = az aks show -g $aksResourceGroup -n $aksName --query identityProfile.kubeletidentity.clientId -otsv

# Assign required roles for cluster over the resourcegroup
az role assignment create --role "Managed Identity Operator" --assignee $aad_pod_identity_clientid  --scope $resourceGroup_ResourceId
az role assignment create --role "Virtual Machine Contributor" --assignee $aad_pod_identity_clientid  --scope $resourceGroup_ResourceId

# Create autoscaler azure identity and get client id and resource id of the autoscaler identity
$autoScaleridentityName = "autoscaler-aad-identity"
az identity create --name $autoScaleridentityName  --resource-group $resourceGroup
$autoscaler_aad_identity_clientId = az identity show --name $autoScaleridentityName  --resource-group $resourceGroup --query clientId -otsv
$autoscaler_aad_identity_resourceId = az identity show --name $autoScaleridentityName  --resource-group $resourceGroup --query id -otsv

# Create the app azure identity and get client id and resource id of the app identity
$appIdentityName = "app-aad-identity"
az identity create --name app-aad-identity --resource-group $resourceGroup
$app_aad_identity_clientId = az identity show --name $appIdentityName --resource-group $resourceGroup --query clientId -otsv
$app_aad_identity_resourceId = az identity show --name $appIdentityName --resource-group $resourceGroup --query id -otsv

# Create service bus and queue
$servicebus = 'svcbusdemo'
az servicebus namespace create --name $servicebus --resource-group $resourceGroup --sku basic
$servicebus_namespace_resourceId = az servicebus namespace show --name $servicebus --resource-group $resourceGroup --query id -otsv

az servicebus queue create --namespace-name $servicebus --name orders --resource-group $resourceGroup
$servicebus_queue_resourceId = az servicebus queue show --namespace-name $servicebus --name orders --resource-group $resourceGroup --query id -otsv

# Assign Service Bus Data Receiver role to the app identity created
az role assignment create --role 'Azure Service Bus Data Receiver' --assignee $app_aad_identity_clientId  --scope $servicebus_queue_resourceId

# Create a namespace for order app deployment
kubectl create namespace keda-dotnet-sample

# Create a yaml deployment configuration variable
$app_with_identity_yaml= @"
apiVersion: aadpodidentity.k8s.io/v1
kind: AzureIdentity
metadata:
  name: $appIdentityName
  annotations:
    aadpodidentity.k8s.io/Behavior: namespaced
spec:
  type: 0 # 0 means User-assigned MSI
  resourceID: $app_aad_identity_resourceId
  clientID: $app_aad_identity_clientId
---
apiVersion: aadpodidentity.k8s.io/v1
kind: AzureIdentityBinding
metadata:
  name: $appIdentityName-binding
spec:
  azureIdentity: $appIdentityName
  selector: order-processor
---
apiVersion: apps/v1
kind: Deployment
metadata:
  name: order-processor
  labels:
    app: order-processor
spec:
  selector:
    matchLabels:
      app: order-processor
  template:
    metadata:
      labels:
        app: order-processor
        aadpodidbinding: order-processor
    spec:
      containers:
      - name: order-processor
        image: ghcr.io/kedacore/sample-dotnet-worker-servicebus-queue:latest
        env:
        - name: KEDA_SERVICEBUS_AUTH_MODE
          value: ManagedIdentity
        - name: KEDA_SERVICEBUS_HOST_NAME
          value: $servicebus.servicebus.windows.net
        - name: KEDA_SERVICEBUS_QUEUE_NAME
          value: orders
        - name: KEDA_SERVICEBUS_IDENTITY_USERASSIGNEDID
          value: $app_aad_identity_clientId
"@

# Create the app deployment with identity bindings using kubectl apply
$app_with_identity_yaml | kubectl apply --namespace keda-dotnet-sample -f -

# Now the order processor app works with the pod identity and 
# processes the queues 
# You can refer the [project ](https://github.com/kedacore/sample-dotnet-worker-servicebus-queue/blob/main/pod-identity.md) for that.

# Now start installation of KEDA in namespace keda-system

kubectl create namespace keda-system

# Create a pod identity and binding for autoscaler azure identity
$autoscaler_yaml =@"
apiVersion: aadpodidentity.k8s.io/v1
kind: AzureIdentity
metadata:
  name: $autoScaleridentityName
spec:
  type: 0 # 0 means User-assigned MSI
  resourceID: $autoscaler_aad_identity_resourceId
  clientID: $autoscaler_aad_identity_clientId
---
apiVersion: aadpodidentity.k8s.io/v1
kind: AzureIdentityBinding
metadata:
  name: $autoScaleridentityName-binding
spec:
  azureIdentity: $autoScaleridentityName
  selector: $autoScaleridentityName
"@
$autoscaler_yaml | kubectl apply --namespace keda-system -f -

# Install KEDA using helm
helm install keda kedacore/keda --set podIdentity.activeDirectory.identity=autoscaler-aad-identity --namespace keda-system

# Assign Service Bus Data Owner role to keda autoscaler identity
az role assignment create --role 'Azure Service Bus Data Owner' --assignee $autoscaler_aad_identity_clientId --scope $servicebus_namespace_resourceId

# Apply scaled object definition and trigger authentication provider as `azure`
$aap_autoscaling_yaml = @"
apiVersion: keda.sh/v1alpha1
kind: TriggerAuthentication
metadata:
  name: trigger-auth-service-bus-orders
spec:
  podIdentity:
    provider: azure
---
apiVersion: keda.sh/v1alpha1 
kind: ScaledObject
metadata:
  name: order-scaler
spec:
  scaleTargetRef:
    name: order-processor
  # minReplicaCount: 0 Change to define how many minimum replicas you want
  maxReplicaCount: 10
  triggers:
  - type: azure-servicebus
    metadata:
      namespace: $servicebus
      queueName: orders
      messageCount: '5'
    authenticationRef:
      name: trigger-auth-service-bus-orders
"@

$aap_autoscaling_yaml | kubectl apply --namespace keda-dotnet-sample -f -

# Now the Keda is getting 401 unauthorized error as the AAD Pod Identity comnponent `nmi` is not runnig on the system
# To fix it edit the daemonset for `nmi` component
# add the container arg `--allow-network-plugin-kubenet=true` by editing the `daemonset.apps/aad-pod-identity-nmi`
kubectl edit daemonset.apps/aad-pod-identity-nmi -n aad-pod-identity

# the containe arg section should look like this after editing:
    spec:
      containers:
      - args:
        - --node=$(NODE_NAME)
        - --http-probe-port=8085
        - --enableScaleFeatures=true
        - --metadata-header-required=true
        - --operation-mode=standard
        - --kubelet-config=/etc/default/kubelet
        - --allow-network-plugin-kubenet=true
        env:

# Now the KEDA is authenticated by aad-pod-identity metadata endpoint and the orderapp should scale up 
# with the queue counts
# If the order app still falls back to errors please delete and redeploy it.
# And that's it you just scaled your app up using KEDA on Kubenet AKS cluster.
注意：在 Kubenet 驱动的 AKS 上运行 AAD 身份之前，请阅读本说明。
于 2022-01-24T15:44:45.390 回答