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Tutorial: Create an Amazon GameLift Servers queue with Spot Instances

Step 1: Define the scope of your queue

In this tutorial, we design a queue for a game that has one game server build variation. At launch, we're releasing the game in two locations: Asia Pacific (Seoul) and Asia Pacific (Singapore). Because these locations are close to each other, latency isn't an issue for our players.

For this example, there's one player segment, which means we create one queue. In the future, when we release the game in North America, we can create a second queue that's scoped for North American players.

For more information, see Define a queue's scope.

Step 2: Create Spot fleet infrastructure

Create fleets in locations and with game server builds or scripts that fit the scope that you defined in Step 1: Define the scope of your queue.

In this tutorial, we create a two location infrastructure with at least one Spot fleet and one On-Demand fleet in each location. Every fleet deploys the same game server build. In addition, we anticipate that player traffic will be heavier in the Seoul location, so we add more Spot fleets there.

The following diagram shows the example Spot fleet infrastructure, with 3 fleets in the ap-northeast-2 (Seoul) location and 2 fleets in the ap-southeast-1 (Singapore) location. All instances in both fleets are using the build MBG_prod_V1. The fleet in ap-northeast-2 contains the following fleet configurations: fleet 1234_spot_1 with an instance type of c5.large, fleet 1234_spot_2 with an instance type of c5.xlarge, and fleet 1234_ondemand with an instance type of c5.large. The fleet in ap-southeast-1 contains the following fleet configurations: fleet 1234_spot_1 with an instance type of c5.large and fleet 1234_ondemand with an instance type of c5.large.

Step 3: Assign aliases for each fleet

Create a new alias for each fleet in your infrastructure. Aliases abstract fleet identities, making periodic fleet replacement efficient. For more information about creating aliases, see Create an Amazon GameLift Servers alias.

Our fleet infrastructure has five fleets, so we create five aliases using the routing strategy. We need three aliases in the Asia Pacific (Seoul) location, and two aliases in the Asia Pacific (Singapore) location.

The following diagram shows the Spot fleet infrastructure described in step two with aliases added to each fleet. Fleet 1234_spot_1 has the alias MBG_spot_1, Fleet 1234_spot_2 has the alias MBG_spot_2, and fleet 1234_ondemand has the alias MBG_ondemand.

For more information, see Build a multi-location queue.

Step 4: Create a queue with destinations

Create the game session queue and add your fleet destinations. For more information about creating a queue, see Create a game session queue.

When creating your queue:

For this tutorial, we create a new queue with the name MBG_spot_queue, and add the aliases of all five of our fleets. We then prioritize placements first by location and second by fleet type.

Based on this configuration, this queue always attempts to place new game sessions into a Spot fleet in Seoul. When those fleets are full, the queue uses available capacity on the Seoul On-Demand fleet as a backup. If all three Seoul fleets are unavailable, Amazon GameLift Servers places game sessions on the Singapore fleets.

The following diagram shows a queue with a timeout of 300 seconds and prioritized destinations. The destinations are in the following order: 1234_spot_1 in ap-northeast-2, 1234_spot_2 in ap-northeast-2, 1234_ondemand in ap-northeast-2, 1234_spot_1 in ap-southeast-1, and 1234_ondemand in ap-southeast-1.

Step 5: Add latency limits to the queue

Our game includes latency information in game session placement requests. We also have a player party feature that creates a game session for a group of players. We can have players wait a little longer to get into games with the ideal gameplay experience. Our game tests show the following observations:

For our queue, with a 300-second timeout, we add policy statements limiting the allowable latency. The policy statements gradually allow larger latency values up to 250-millisecond latency.

With this policy, our queue looks for placements with ideal latency (under 50 milliseconds) for the first minute, and then relaxes the limit. The queue doesn't make placements where player latency is 250 milliseconds or higher.

The following diagram shows the queue from step four with player latency policies added. The player latency policies state, enforce 50ms limit for 60s, enforce 125ms limit for 30s, and enforce 250ms limit until timeout.

Summary

Congratulations! Here are the things you accomplished:

You can now use the queue to place game sessions for the players it serves. When making game session placement requests for these players, reference this game session queue name in the request. For more information about making game session placement requests, see Create game sessions, or Integrating a game client for Amazon GameLift Servers Realtime.

Next steps: