RegionAutoscaler is the Schema for the RegionAutoscalers API. Represents an Autoscaler resource.
RegionAutoscalerSpec defines the desired state of RegionAutoscaler
No description provided.
The configuration parameters for the autoscaling algorithm. You can define one or more of the policies for an autoscaler: cpuUtilization, customMetricUtilizations, and loadBalancingUtilization. If none of these are specified, the default will be to autoscale based on cpuUtilization to 0.6 or 60%. Structure is documented below.
Configuration parameters of autoscaling based on a load balancer. Structure is documented below.
PublishConnectionDetailsTo specifies the connection secret config which contains a name, metadata and a reference to secret store config to which any connection details for this managed resource should be written. Connection details frequently include the endpoint, username, and password required to connect to the managed resource.
WriteConnectionSecretToReference specifies the namespace and name of a Secret to which any connection details for this managed resource should be written. Connection details frequently include the endpoint, username, and password required to connect to the managed resource. This field is planned to be replaced in a future release in favor of PublishConnectionDetailsTo. Currently, both could be set independently and connection details would be published to both without affecting each other.
RegionAutoscalerStatus defines the observed state of RegionAutoscaler.
apiVersion: compute.gcp.upbound.io/v1beta1 kind: RegionAutoscaler metadata: annotations: meta.upbound.io/example-id: compute/v1beta1/regionautoscaler labels: testing.upbound.io/example-name: region-autoscaler name: region-autoscaler spec: forProvider: autoscalingPolicy: - cooldownPeriod: 60 cpuUtilization: - target: 0.5 maxReplicas: 5 minReplicas: 1 region: us-central1 targetSelector: matchLabels: testing.upbound.io/example-name: region-autoscaler
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© 2022 Upbound, Inc.
© 2022 Upbound, Inc.
Discover the building blocksfor your internal cloud platform.