AWS gameliftservers documentation change
Summary
Updated documentation to consistently use 'Amazon EC2 Auto Scaling group' instead of 'Auto Scaling group' throughout the text
Security assessment
The changes are purely branding/naming updates to specify 'Amazon EC2' prefix for Auto Scaling group references. No security vulnerabilities, mitigations, or security features are mentioned or modified in these changes. The updates appear to be clarifying documentation rather than addressing security concerns.
Diff
diff --git a/gameliftservers/latest/fleetiqguide/gsg-howitworks-logic.md b/gameliftservers/latest/fleetiqguide/gsg-howitworks-logic.md index 419a50cfc..879c8bfc7 100644 --- a//gameliftservers/latest/fleetiqguide/gsg-howitworks-logic.md +++ b//gameliftservers/latest/fleetiqguide/gsg-howitworks-logic.md @@ -9 +9 @@ Fill Auto Scaling group with optimal instance typesPlace game sessions effective -The following diagram illustrates the role of Amazon GameLift Servers FleetIQ when it is working with Amazon EC2 for game hosting. Its primary goal is to locate the _best_ possible game server to host a game session and give players an optimal gameplay experience. Amazon GameLift Servers FleetIQ defines the _best_ resources as those that deliver the highest game hosting viability for the lowest cost. Amazon GameLift Servers FleetIQ approaches this goal in two key ways: first by allowing only viable instance types in the Auto Scaling group, and second by placing new game sessions effectively across the group's available resources. +The following diagram illustrates the role of Amazon GameLift Servers FleetIQ when it is working with Amazon EC2 for game hosting. Its primary goal is to locate the _best_ possible game server to host a game session and give players an optimal gameplay experience. Amazon GameLift Servers FleetIQ defines the _best_ resources as those that deliver the highest game hosting viability for the lowest cost. Amazon GameLift Servers FleetIQ approaches this goal in two key ways: first by allowing only viable instance types in the Amazon EC2 Auto Scaling group, and second by placing new game sessions effectively across the group's available resources. @@ -15 +15 @@ The following diagram illustrates the role of Amazon GameLift Servers FleetIQ wh -The job of the Auto Scaling group is to launch new instances and retire old instances, maintaining a collection of hosting resources and scaling it to meet your player demand. To do this, the Auto Scaling group relies on a list of your desired instance types. The job of Amazon GameLift Servers FleetIQ is to continually check the viability of these desired instance types and update the list for the Auto Scaling group. This process is called instance balancing. It ensures that instances in the Auto Scaling group are continually refreshed so that only currently viable instance types are used at all times. +The job of the Amazon EC2 Auto Scaling group is to launch new instances and retire old instances, maintaining a collection of hosting resources and scaling it to meet your player demand. To do this, the Amazon EC2 Auto Scaling group relies on a list of your desired instance types. The job of Amazon GameLift Servers FleetIQ is to continually check the viability of these desired instance types and update the list for the Amazon EC2 Auto Scaling group. This process is called instance balancing. It ensures that instances in the Amazon EC2 Auto Scaling group are continually refreshed so that only currently viable instance types are used at all times. @@ -17 +17 @@ The job of the Auto Scaling group is to launch new instances and retire old inst -Amazon GameLift Servers FleetIQ affects how the Auto Scaling group selects optimal instance types in the following ways: +Amazon GameLift Servers FleetIQ affects how the Amazon EC2 Auto Scaling group selects optimal instance types in the following ways: @@ -19 +19 @@ Amazon GameLift Servers FleetIQ affects how the Auto Scaling group selects optim - * **It determines usage of Spot and/or On-Demand Instances.** An Amazon GameLift Servers FleetIQ game server group is configured with a balancing strategy, which influences how the Auto Scaling group uses Spot and/or On-Demand Instances. Spot Instances have lower costs due to fluctuating availability and potential [interruptions](https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/spot-interruptions.html), limitations that Amazon GameLift Servers FleetIQ minimizes for game server hosting. On-Demand instances are more expensive but offer more reliable availability when you need it. + * **It determines usage of Spot and/or On-Demand Instances.** An Amazon GameLift Servers FleetIQ game server group is configured with a balancing strategy, which influences how the Amazon EC2 Auto Scaling group uses Spot and/or On-Demand Instances. Spot Instances have lower costs due to fluctuating availability and potential [interruptions](https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/spot-interruptions.html), limitations that Amazon GameLift Servers FleetIQ minimizes for game server hosting. On-Demand instances are more expensive but offer more reliable availability when you need it. @@ -21 +21 @@ Amazon GameLift Servers FleetIQ affects how the Auto Scaling group selects optim - * **It limits new instances to launch on viable instance types only.** A Amazon GameLift Servers FleetIQ game server group maintains a master list of your desired instance types, The instance balancing process continually evaluates each desired instance type on the list for game hosting viability, using a prediction algorithm that looks at the instance type's recent availability and interruption rate. As a result of this evaluation, Amazon GameLift Servers FleetIQ continually updates the Auto Scaling group's list of desired instance types to include only currently viable instances types. + * **It limits new instances to launch on viable instance types only.** A Amazon GameLift Servers FleetIQ game server group maintains a master list of your desired instance types, The instance balancing process continually evaluates each desired instance type on the list for game hosting viability, using a prediction algorithm that looks at the instance type's recent availability and interruption rate. As a result of this evaluation, Amazon GameLift Servers FleetIQ continually updates the Amazon EC2 Auto Scaling group's list of desired instance types to include only currently viable instances types. @@ -23 +23 @@ Amazon GameLift Servers FleetIQ affects how the Auto Scaling group selects optim - * **It flags existing instances that are non-viable instance types.** Amazon GameLift Servers FleetIQ identifies existing instances in an Auto Scaling group that are currently non-viable instance types. These instances are flagged as _draining_ , which means they are terminated and replaced with new instances. For instances that have game server protection turned on, termination is postponed until any active game sessions end normally. + * **It flags existing instances that are non-viable instance types.** Amazon GameLift Servers FleetIQ identifies existing instances in an Amazon EC2 Auto Scaling group that are currently non-viable instance types. These instances are flagged as _draining_ , which means they are terminated and replaced with new instances. For instances that have game server protection turned on, termination is postponed until any active game sessions end normally. @@ -28 +28 @@ Amazon GameLift Servers FleetIQ affects how the Auto Scaling group selects optim -As the Auto Scaling group launches and retires instances, it maintains a collection that is optimized for game hosting even as the availability of low-cost Spot Instance types fluctuates. Balancing activity takes place on game server groups with active instances only. Learn more about how this process works in [Spot balancing process](./gsg-lifecycle-rebalance.html). +As the Amazon EC2 Auto Scaling group launches and retires instances, it maintains a collection that is optimized for game hosting even as the availability of low-cost Spot Instance types fluctuates. Balancing activity takes place on game server groups with active instances only. Learn more about how this process works in [Spot balancing process](./gsg-lifecycle-rebalance.html). @@ -40 +40 @@ When selecting a game server to host a new game session, Amazon GameLift Servers - 1. Where possible, Amazon GameLift Servers FleetIQ places new game sessions on instances that are already hosting other game sessions. By packing (but not overloading) some instances and keeping others idle, the Auto Scaling group is able to quickly scale down idle instances when they're not needed, which lowers hosting costs. + 1. Where possible, Amazon GameLift Servers FleetIQ places new game sessions on instances that are already hosting other game sessions. By packing (but not overloading) some instances and keeping others idle, the Amazon EC2 Auto Scaling group is able to quickly scale down idle instances when they're not needed, which lowers hosting costs. @@ -49 +49 @@ When selecting a game server to host a new game session, Amazon GameLift Servers -You can turn on game session protection for a game server group to prevent the Auto Scaling group from terminating instances with actively running game sessions. +You can turn on game session protection for a game server group to prevent the Amazon EC2 Auto Scaling group from terminating instances with actively running game sessions.