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Container for the parameters to the PutScalingPolicy operation. 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.
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.
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:
[EvaluationPeriods] minutes, then
To implement the example, the rule statement would look like this:
 minutes, then
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:
public class PutScalingPolicyRequest : AmazonGameLiftRequest IAmazonWebServiceRequest
The PutScalingPolicyRequest type exposes the following members
Gets and sets the property ComparisonOperator.
Comparison operator to use when measuring the metric against the threshold value.
Gets and sets the property EvaluationPeriods.
Length of time (in minutes) the metric must be at or beyond the threshold before a scaling event is triggered.
Gets and sets the property FleetId.
Unique identifier for a fleet to apply this policy to. The fleet cannot be in any of the following statuses: ERROR or DELETING.
Gets and sets the property 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.
Gets and sets the property Name.
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.
Gets and sets the property 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.
Gets and sets the property ScalingAdjustment.
Amount of adjustment to make, based on the scaling adjustment type.
Gets and sets the property ScalingAdjustmentType.
Type of adjustment to make to a fleet's instance count (see FleetCapacity):
Gets and sets the property TargetConfiguration.
Object that contains settings for a target-based scaling policy.
Gets and sets the property Threshold.
Metric value used to trigger a scaling event.
Supported in: 1.3
Supported in: 4.5, 4.0, 3.5
Portable Class Library:
Supported in: Windows Store Apps
Supported in: Windows Phone 8.1
Supported in: Xamarin Android
Supported in: Xamarin iOS (Unified)
Supported in: Xamarin.Forms