kubernetes自动缩放队列大小与运行的吊舱数量
有没有一种方法可以使用完全定制的算法设置自动缩放? 1.我想根据azure存储队列的大小与当前运行的pod数量的比率来自动缩放我的pod,这意味着每个pod需要处理的平均消息数量。 2.我是否可以根据这些指标自由创建指标和规模?像kubernetes自动缩放队列大小与运行的吊舱数量,kubernetes,Kubernetes,有没有一种方法可以使用完全定制的算法设置自动缩放? 1.我想根据azure存储队列的大小与当前运行的pod数量的比率来自动缩放我的pod,这意味着每个pod需要处理的平均消息数量。 2.我是否可以根据这些指标自由创建指标和规模?像 如果是,我可以在哪里设置自动缩放算法?您可以使用keda和相应的触发器: 下面是来自docs for azure存储队列的示例 apiVersion: keda.k8s.io/v1alpha1 kind: TriggerAuthentication metadata
如果是,我可以在哪里设置自动缩放算法?您可以使用keda和相应的触发器: 下面是来自docs for azure存储队列的示例
apiVersion: keda.k8s.io/v1alpha1
kind: TriggerAuthentication
metadata:
name: azure-queue-auth
spec:
podIdentity:
provider: azure
---
apiVersion: keda.k8s.io/v1alpha1
kind: ScaledObject
metadata:
name: azure-queue-scaledobject
namespace: default
spec:
scaleTargetRef:
deploymentName: azurequeue-function
triggers:
- type: azure-queue
metadata:
# Required
queueName: functionsqueue
# Required: connection OR authenticationRef that defines connection
connection: STORAGE_CONNECTIONSTRING_ENV_NAME # Default: AzureWebJobsStorage. Reference to a connection string in deployment
# or authenticationRef as defined below
#
# Optional
queueLength: "5" # default 5
authenticationRef:
name: azure-queue-auth #
还支持所有类型的其他触发器。但是如何将队列长度与活动POD的数量结合起来,以设置自定义算法?
apiVersion: keda.k8s.io/v1alpha1
kind: TriggerAuthentication
metadata:
name: azure-queue-auth
spec:
podIdentity:
provider: azure
---
apiVersion: keda.k8s.io/v1alpha1
kind: ScaledObject
metadata:
name: azure-queue-scaledobject
namespace: default
spec:
scaleTargetRef:
deploymentName: azurequeue-function
triggers:
- type: azure-queue
metadata:
# Required
queueName: functionsqueue
# Required: connection OR authenticationRef that defines connection
connection: STORAGE_CONNECTIONSTRING_ENV_NAME # Default: AzureWebJobsStorage. Reference to a connection string in deployment
# or authenticationRef as defined below
#
# Optional
queueLength: "5" # default 5
authenticationRef:
name: azure-queue-auth #