設定 Knative Kafka 資源的 KEDA 自動調整

所有分派事件的 Knative Kafka 組件（來源、通道代理）都支援使用 KEDA 調整分派器資料平面。

重要

此功能為 Alpha 版

啟用 Kafka 組件的自動調整

重要

請注意，啟用自動調整將會為所有 KafkaSources、參考 Kafka Brokers 的 Triggers，以及參考 KafkaChannels 的 Subscriptions 啟用調整。

若要啟用此功能，您需要修改 config-kafka-features configmap，並將 controller-autoscaler-keda 旗標設定為 enabled。請注意，為了使此功能正常運作，您還必須在叢集中安裝 KEDA。

變更後，您的 configmap 應該如下所示

apiVersion: v1
kind: ConfigMap
metadata:
  name: config-kafka-features
  namespace: knative-eventing
data:
  controller-autoscaler-keda: enabled
  # other features and config options...

設定資源的自動調整

如果您想要自訂 KEDA 如何調整 KafkaSource、觸發器或訂閱，您可以在資源上設定註釋

apiVersion: <eventing|messaging|sources>.knative.dev/v1
kind: <KafkaSource|Subscription|Trigger>
metadata:
  annotations:
    # The minimum number of replicas to scale down to
    autoscaling.eventing.knative.dev/min-scale: "0"
    # The maximum number of replicas to scale up to
    autoscaling.eventing.knative.dev/max-scale: "50"
    # The interval in seconds the autoscaler uses to poll metrics in order to inform its scaling decisions
    autoscaling.eventing.knative.dev/polling-interval: "10"
    # The period in seconds the autoscaler waits until it scales down
    autoscaling.eventing.knative.dev/cooldown-period: "30"
    # The lag that is used for scaling (1<->N)
    autoscaling.eventing.knative.dev/lag-threshold: "100"
    # The lag that is used for activation (0<->1)
    autoscaling.eventing.knative.dev: "0"
spec:
  # Spec fields for the resource...

停用資源的自動調整

如果您想要停用 KafkaSource、觸發器或訂閱的自動調整，您需要在資源上設定註釋

apiVersion: <eventing|messaging|sources>.knative.dev/v1
kind: <KafkaSource|Subscription|Trigger>
metadata:
  annotations:
    autoscaling.eventing.knative.dev/class: disabled
spec:
  # Spec fields for the resource...