AWS GameLift Game Session Queue
This page shows how to write Terraform and CloudFormation for GameLift Game Session Queue and write them securely.
aws_gamelift_game_session_queue (Terraform)
The Game Session Queue in GameLift can be configured in Terraform with the resource name aws_gamelift_game_session_queue. The following sections describe how to use the resource and its parameters.
Example Usage from GitHub
An example could not be found in GitHub.
Parameters
-
arnoptional computed - string -
destinationsoptional - list of string -
idoptional computed - string -
namerequired - string -
tagsoptional - map from string to string -
timeout_in_secondsoptional - number -
player_latency_policylist block-
maximum_individual_player_latency_millisecondsrequired - number -
policy_duration_secondsoptional - number
-
Explanation in Terraform Registry
Provides an Gamelift Game Session Queue resource.
AWS::GameLift::GameSessionQueue (CloudFormation)
The GameSessionQueue in GameLift can be configured in CloudFormation with the resource name AWS::GameLift::GameSessionQueue. The following sections describe how to use the resource and its parameters.
Example Usage from GitHub
An example could not be found in GitHub.
Parameters
-
TimeoutInSecondsoptional - Integer -
PlayerLatencyPoliciesoptional - List of PlayerLatencyPolicy -
Destinationsoptional - List of Destination -
NotificationTargetoptional - String -
FilterConfigurationoptional - FilterConfiguration -
CustomEventDataoptional - String -
Namerequired - String -
PriorityConfigurationoptional - PriorityConfiguration
Explanation in CloudFormation Registry
The
AWS::GameLift::GameSessionQueueresource creates a placement queue that processes requests for new game sessions. A queue uses FleetIQ algorithms to determine the best placement locations and find an available game server, then prompts the game server to start a new game session. Queues can have destinations (GameLift fleets or aliases), which determine where the queue can place new game sessions. A queue can have destinations with varied fleet type (Spot and On-Demand), instance type, and AWS Region.