pulumi-gcp-kotlin/com.pulumi.gcp.appengine.kotlin.outputs/FlexibleAppVersionAutomaticScaling

FlexibleAppVersionAutomaticScaling

data class FlexibleAppVersionAutomaticScaling(val coolDownPeriod: String? = null, val cpuUtilization: FlexibleAppVersionAutomaticScalingCpuUtilization, val diskUtilization: FlexibleAppVersionAutomaticScalingDiskUtilization? = null, val maxConcurrentRequests: Int? = null, val maxIdleInstances: Int? = null, val maxPendingLatency: String? = null, val maxTotalInstances: Int? = null, val minIdleInstances: Int? = null, val minPendingLatency: String? = null, val minTotalInstances: Int? = null, val networkUtilization: FlexibleAppVersionAutomaticScalingNetworkUtilization? = null, val requestUtilization: FlexibleAppVersionAutomaticScalingRequestUtilization? = null)

Constructors

fun FlexibleAppVersionAutomaticScaling(coolDownPeriod: String? = null, cpuUtilization: FlexibleAppVersionAutomaticScalingCpuUtilization, diskUtilization: FlexibleAppVersionAutomaticScalingDiskUtilization? = null, maxConcurrentRequests: Int? = null, maxIdleInstances: Int? = null, maxPendingLatency: String? = null, maxTotalInstances: Int? = null, minIdleInstances: Int? = null, minPendingLatency: String? = null, minTotalInstances: Int? = null, networkUtilization: FlexibleAppVersionAutomaticScalingNetworkUtilization? = null, requestUtilization: FlexibleAppVersionAutomaticScalingRequestUtilization? = null)

Types

Companion

object Companion

Properties

coolDownPeriod

val coolDownPeriod: String? = null

The time period that the Autoscaler should wait before it starts collecting information from a new instance. This prevents the autoscaler from collecting information when the instance is initializing, during which the collected usage would not be reliable. Default: 120s

cpuUtilization

val cpuUtilization: FlexibleAppVersionAutomaticScalingCpuUtilization

Target scaling by CPU usage. Structure is documented below.

diskUtilization

val diskUtilization: FlexibleAppVersionAutomaticScalingDiskUtilization? = null

Target scaling by disk usage. Structure is documented below.

maxConcurrentRequests

val maxConcurrentRequests: Int? = null

Number of concurrent requests an automatic scaling instance can accept before the scheduler spawns a new instance. Defaults to a runtime-specific value.

maxIdleInstances

val maxIdleInstances: Int? = null

Maximum number of idle instances that should be maintained for this version.

maxPendingLatency

val maxPendingLatency: String? = null

Maximum amount of time that a request should wait in the pending queue before starting a new instance to handle it.

maxTotalInstances

val maxTotalInstances: Int? = null

Maximum number of instances that should be started to handle requests for this version. Default: 20

minIdleInstances

val minIdleInstances: Int? = null

Minimum number of idle instances that should be maintained for this version. Only applicable for the default version of a service.

minPendingLatency

val minPendingLatency: String? = null

Minimum amount of time a request should wait in the pending queue before starting a new instance to handle it.

minTotalInstances

val minTotalInstances: Int? = null

Minimum number of running instances that should be maintained for this version. Default: 2

networkUtilization

val networkUtilization: FlexibleAppVersionAutomaticScalingNetworkUtilization? = null

Target scaling by network usage. Structure is documented below.

requestUtilization

val requestUtilization: FlexibleAppVersionAutomaticScalingRequestUtilization? = null

Target scaling by request utilization. Structure is documented below.