AWS gamelift documentation change
Summary
Updated product references from 'Amazon GameLift' to 'Amazon GameLift Servers' across multiple sections, changed documentation section title from 'Developer Guide' to 'Hosting Guide', and updated related API/service references.
Security assessment
Changes are branding/documentation structure updates clarifying the product name as 'Amazon GameLift Servers' rather than addressing security vulnerabilities or describing security features. No security-related terminology, mitigations, or feature additions are present.
Diff
diff --git a/gamelift/latest/developerguide/fleets-autoscaling-rule.md index 54cfa0c48..5f3a057be 100644 --- a/gamelift/latest/developerguide/fleets-autoscaling-rule.md +++ b/gamelift/latest/developerguide/fleets-autoscaling-rule.md @@ -3 +3 @@ -[Documentation](/index.html)[Amazon GameLift](/gamelift/index.html)[Developer Guide](gamelift-intro.html) +[Documentation](/index.html)[Amazon GameLift](/gamelift/index.html)[Hosting Guide](gamelift-intro.html) @@ -9 +9 @@ Manage rule-based policiesSyntax for auto scaling rulesTips for rule-based auto -Rule-based scaling policies in Amazon GameLift provide fine-grained control when auto scaling a fleet's capacity in response to player activity. For each policy, you can link scaling to one of several fleet metrics, identify a trigger point, and customize the responding scale-up or scale-down event. Rule-based policies are useful for supplementing [target-based scaling](./fleets-autoscaling-target.html) to handle special circumstances. +Rule-based scaling policies in Amazon GameLift Servers provide fine-grained control when auto scaling a fleet's capacity in response to player activity. For each policy, you can link scaling to one of several fleet metrics, identify a trigger point, and customize the responding scale-up or scale-down event. Rule-based policies are useful for supplementing [target-based scaling](./fleets-autoscaling-target.html) to handle special circumstances. @@ -15 +15 @@ A rule-based policy states the following: "If a fleet metric meets or crosses a -Create, update, or delete rule-based policies using an AWS SDK or the AWS Command Line Interface (AWS CLI) with the [Amazon GameLift service API](https://docs.aws.amazon.com/gamelift/latest/apireference/Welcome.html). You can view all active policies in the Amazon GameLift console. +Create, update, or delete rule-based policies using an AWS SDK or the AWS Command Line Interface (AWS CLI) with the [Service API for Amazon GameLift Servers](https://docs.aws.amazon.com/gamelift/latest/apireference/Welcome.html). You can view all active policies in the Amazon GameLift Servers console. @@ -21 +21 @@ To temporarily stop all scaling policies for a fleet, use the AWS CLI command [s - 1. **Set capacity limits.** Set either or both limit values using the [update-fleet-capacity](https://docs.aws.amazon.com/cli/latest/reference/gamelift/update-fleet-capacity.html) command. For more information, see [Set Amazon GameLift capacity limits](./fleets-capacity-limits.html). + 1. **Set capacity limits.** Set either or both limit values using the [update-fleet-capacity](https://docs.aws.amazon.com/cli/latest/reference/gamelift/update-fleet-capacity.html) command. For more information, see [Set Amazon GameLift Servers capacity limits](./fleets-capacity-limits.html). @@ -77 +77 @@ If `AvailableGameSessions` remains at `less than 50` for `10 minutes`, then chan -To start a scaling event, link an auto scaling policy to one of the following fleet-specific metrics. For complete metric descriptions, see [Amazon GameLift metrics for fleets](./monitoring-cloudwatch.html#gamelift-metrics-fleet). +To start a scaling event, link an auto scaling policy to one of the following fleet-specific metrics. For complete metric descriptions, see [Amazon GameLift Servers metrics for fleets](./monitoring-cloudwatch.html#gamelift-metrics-fleet). @@ -112 +112 @@ If the fleet is in a game session queue, you can use the following metrics: -Tells Amazon GameLift how to compare the metric data to the threshold value. Valid comparison operators include greater than (>), less than (<), greater than or equal (>=), and less than or equal (<=). +Tells Amazon GameLift Servers how to compare the metric data to the threshold value. Valid comparison operators include greater than (>), less than (<), greater than or equal (>=), and less than or equal (<=). @@ -127 +127 @@ The metric must meet or cross the threshold value for the full length of the eva -This set of variables works together to specify how Amazon GameLift should adjust the fleet's capacity when a scaling event starts. Choose from three possible adjustment types: +This set of variables works together to specify how Amazon GameLift Servers should adjust the fleet's capacity when a scaling event starts. Choose from three possible adjustment types: @@ -156 +156 @@ Fleet capacity is also constrained by limits on the fleet's instance type and by -After changing capacity in response to an auto scaling policy, Amazon GameLift waits 10 minutes before responding to triggers from the same policy. This wait gives Amazon GameLift time to add the new instances, launch the game servers, connect players, and start collecting data from the new instances. During this time, Amazon GameLift evaluates the policy against the metric and tracks the policy's evaluation period, which restarts after a scaling event occurs. This means that a scaling policy could start another scaling event immediately after the wait time is over. +After changing capacity in response to an auto scaling policy, Amazon GameLift Servers waits 10 minutes before responding to triggers from the same policy. This wait gives Amazon GameLift Servers time to add the new instances, launch the game servers, connect players, and start collecting data from the new instances. During this time, Amazon GameLift Servers evaluates the policy against the metric and tracks the policy's evaluation period, which restarts after a scaling event occurs. This means that a scaling policy could start another scaling event immediately after the wait time is over.