AWS Tools for Windows PowerShell
Command Reference

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Synopsis

Calls the Amazon GameLift Service PutScalingPolicy API operation.

Syntax

Write-GMLScalingPolicy
-FleetId <String>
-ComparisonOperator <ComparisonOperatorType>
-EvaluationPeriod <Int32>
-MetricName <MetricName>
-Name <String>
-PolicyType <PolicyType>
-ScalingAdjustment <Int32>
-ScalingAdjustmentType <ScalingAdjustmentType>
-TargetConfiguration_TargetValue <Double>
-Threshold <Double>
-Force <SwitchParameter>

Description

Creates or updates a scaling policy for a fleet. Scaling policies are used to automatically scale a fleet's hosting capacity to meet player demand. An active scaling policy instructs Amazon GameLift to track a fleet metric and automatically change the fleet's capacity when a certain threshold is reached. There are two types of scaling policies: target-based and rule-based. Use a target-based policy to quickly and efficiently manage fleet scaling; this option is the most commonly used. Use rule-based policies when you need to exert fine-grained control over auto-scaling. Fleets can have multiple scaling policies of each type in force at the same time; you can have one target-based policy, one or multiple rule-based scaling policies, or both. We recommend caution, however, because multiple auto-scaling policies can have unintended consequences. You can temporarily suspend all scaling policies for a fleet by calling StopFleetActions with the fleet action AUTO_SCALING. To resume scaling policies, call StartFleetActions with the same fleet action. To stop just one scaling policy--or to permanently remove it, you must delete the policy with DeleteScalingPolicy. Learn more about how to work with auto-scaling in Set Up Fleet Automatic Scaling. Target-based policy A target-based policy tracks a single metric: PercentAvailableGameSessions. This metric tells us how much of a fleet's hosting capacity is ready to host game sessions but is not currently in use. This is the fleet's buffer; it measures the additional player demand that the fleet could handle at current capacity. With a target-based policy, you set your ideal buffer size and leave it to Amazon GameLift to take whatever action is needed to maintain that target. For example, you might choose to maintain a 10% buffer for a fleet that has the capacity to host 100 simultaneous game sessions. This policy tells Amazon GameLift to take action whenever the fleet's available capacity falls below or rises above 10 game sessions. Amazon GameLift will start new instances or stop unused instances in order to return to the 10% buffer. To create or update a target-based policy, specify a fleet ID and name, and set the policy type to "TargetBased". Specify the metric to track (PercentAvailableGameSessions) and reference a TargetConfiguration object with your desired buffer value. Exclude all other parameters. On a successful request, the policy name is returned. The scaling policy is automatically in force as soon as it's successfully created. If the fleet's auto-scaling actions are temporarily suspended, the new policy will be in force once the fleet actions are restarted. Rule-based policy A rule-based policy tracks specified fleet metric, sets a threshold value, and specifies the type of action to initiate when triggered. With a rule-based policy, you can select from several available fleet metrics. Each policy specifies whether to scale up or scale down (and by how much), so you need one policy for each type of action. For example, a policy may make the following statement: "If the percentage of idle instances is greater than 20% for more than 15 minutes, then reduce the fleet capacity by 10%." A policy's rule statement has the following structure: If [MetricName] is [ComparisonOperator][Threshold] for [EvaluationPeriods] minutes, then [ScalingAdjustmentType] to/by [ScalingAdjustment]. To implement the example, the rule statement would look like this: If [PercentIdleInstances] is [GreaterThanThreshold][20] for [15] minutes, then [PercentChangeInCapacity] to/by [10]. To create or update a scaling policy, specify a unique combination of name and fleet ID, and set the policy type to "RuleBased". Specify the parameter values for a policy rule statement. On a successful request, the policy name is returned. Scaling policies are automatically in force as soon as they're successfully created. If the fleet's auto-scaling actions are temporarily suspended, the new policy will be in force once the fleet actions are restarted. Operations related to fleet capacity scaling include:

Parameters

-ComparisonOperator <ComparisonOperatorType>
Comparison operator to use when measuring the metric against the threshold value.
Required?False
Position?Named
Accept pipeline input?False
-EvaluationPeriod <Int32>
Length of time (in minutes) the metric must be at or beyond the threshold before a scaling event is triggered.
Required?False
Position?Named
Accept pipeline input?False
-FleetId <String>
Unique identifier for a fleet to apply this policy to. The fleet cannot be in any of the following statuses: ERROR or DELETING.
Required?False
Position?1
Accept pipeline input?True (ByValue, )
-Force <SwitchParameter>
This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution.
Required?False
Position?Named
Accept pipeline input?False
-MetricName <MetricName>
Name of the Amazon GameLift-defined metric that is used to trigger a scaling adjustment. For detailed descriptions of fleet metrics, see Monitor Amazon GameLift with Amazon CloudWatch.
  • ActivatingGameSessions -- Game sessions in the process of being created.
  • ActiveGameSessions -- Game sessions that are currently running.
  • ActiveInstances -- Fleet instances that are currently running at least one game session.
  • AvailableGameSessions -- Additional game sessions that fleet could host simultaneously, given current capacity.
  • AvailablePlayerSessions -- Empty player slots in currently active game sessions. This includes game sessions that are not currently accepting players. Reserved player slots are not included.
  • CurrentPlayerSessions -- Player slots in active game sessions that are being used by a player or are reserved for a player.
  • IdleInstances -- Active instances that are currently hosting zero game sessions.
  • PercentAvailableGameSessions -- Unused percentage of the total number of game sessions that a fleet could host simultaneously, given current capacity. Use this metric for a target-based scaling policy.
  • PercentIdleInstances -- Percentage of the total number of active instances that are hosting zero game sessions.
  • QueueDepth -- Pending game session placement requests, in any queue, where the current fleet is the top-priority destination.
  • WaitTime -- Current wait time for pending game session placement requests, in any queue, where the current fleet is the top-priority destination.
Required?False
Position?Named
Accept pipeline input?False
-Name <String>
Descriptive label that is associated with a scaling policy. Policy names do not need to be unique. A fleet can have only one scaling policy with the same name.
Required?False
Position?Named
Accept pipeline input?True (ByPropertyName)
-PolicyType <PolicyType>
Type of scaling policy to create. For a target-based policy, set the parameter MetricName to 'PercentAvailableGameSessions' and specify a TargetConfiguration. For a rule-based policy set the following parameters: MetricName, ComparisonOperator, Threshold, EvaluationPeriods, ScalingAdjustmentType, and ScalingAdjustment.
Required?False
Position?Named
Accept pipeline input?False
-ScalingAdjustment <Int32>
Amount of adjustment to make, based on the scaling adjustment type.
Required?False
Position?Named
Accept pipeline input?False
-ScalingAdjustmentType <ScalingAdjustmentType>
Type of adjustment to make to a fleet's instance count (see FleetCapacity):
  • ChangeInCapacity -- add (or subtract) the scaling adjustment value from the current instance count. Positive values scale up while negative values scale down.
  • ExactCapacity -- set the instance count to the scaling adjustment value.
  • PercentChangeInCapacity -- increase or reduce the current instance count by the scaling adjustment, read as a percentage. Positive values scale up while negative values scale down; for example, a value of "-10" scales the fleet down by 10%.
Required?False
Position?Named
Accept pipeline input?False
-TargetConfiguration_TargetValue <Double>
Desired value to use with a target-based scaling policy. The value must be relevant for whatever metric the scaling policy is using. For example, in a policy using the metric PercentAvailableGameSessions, the target value should be the preferred size of the fleet's buffer (the percent of capacity that should be idle and ready for new game sessions).
Required?False
Position?Named
Accept pipeline input?False
-Threshold <Double>
Metric value used to trigger a scaling event.
Required?False
Position?Named
Accept pipeline input?False

Common Credential and Region Parameters

-AccessKey <String>
The AWS access key for the user account. This can be a temporary access key if the corresponding session token is supplied to the -SessionToken parameter.
Required? False
Position? Named
Accept pipeline input? False
-Credential <AWSCredentials>
An AWSCredentials object instance containing access and secret key information, and optionally a token for session-based credentials.
Required? False
Position? Named
Accept pipeline input? False
-ProfileLocation <String>

Used to specify the name and location of the ini-format credential file (shared with the AWS CLI and other AWS SDKs)

If this optional parameter is omitted this cmdlet will search the encrypted credential file used by the AWS SDK for .NET and AWS Toolkit for Visual Studio first. If the profile is not found then the cmdlet will search in the ini-format credential file at the default location: (user's home directory)\.aws\credentials. Note that the encrypted credential file is not supported on all platforms. It will be skipped when searching for profiles on Windows Nano Server, Mac, and Linux platforms.

If this parameter is specified then this cmdlet will only search the ini-format credential file at the location given.

As the current folder can vary in a shell or during script execution it is advised that you use specify a fully qualified path instead of a relative path.

Required? False
Position? Named
Accept pipeline input? False
-ProfileName <String>
The user-defined name of an AWS credentials or SAML-based role profile containing credential information. The profile is expected to be found in the secure credential file shared with the AWS SDK for .NET and AWS Toolkit for Visual Studio. You can also specify the name of a profile stored in the .ini-format credential file used with the AWS CLI and other AWS SDKs.
Required? False
Position? Named
Accept pipeline input? False
-NetworkCredential <PSCredential>
Used with SAML-based authentication when ProfileName references a SAML role profile. Contains the network credentials to be supplied during authentication with the configured identity provider's endpoint. This parameter is not required if the user's default network identity can or should be used during authentication.
Required? False
Position? Named
Accept pipeline input? False
-SecretKey <String>
The AWS secret key for the user account. This can be a temporary secret key if the corresponding session token is supplied to the -SessionToken parameter.
Required? False
Position? Named
Accept pipeline input? False
-SessionToken <String>
The session token if the access and secret keys are temporary session-based credentials.
Required? False
Position? Named
Accept pipeline input? False
-Region <String>
The system name of the AWS region in which the operation should be invoked. For example, us-east-1, eu-west-1 etc.
Required? False
Position? Named
Accept pipeline input? False
-EndpointUrl <String>

The endpoint to make the call against.

Note: This parameter is primarily for internal AWS use and is not required/should not be specified for normal usage. The cmdlets normally determine which endpoint to call based on the region specified to the -Region parameter or set as default in the shell (via Set-DefaultAWSRegion). Only specify this parameter if you must direct the call to a specific custom endpoint.

Required? False
Position? Named
Accept pipeline input? False

Inputs

You can pipe a String object to this cmdlet for the FleetId parameter.

Outputs

This cmdlet returns a String object. The service call response (type Amazon.GameLift.Model.PutScalingPolicyResponse) can also be referenced from properties attached to the cmdlet entry in the $AWSHistory stack.

Supported Version

AWS Tools for PowerShell: 2.x.y.z