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Evaluate queue metrics

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Evaluate queue metrics - Amazon GameLift Servers

Use metrics to evaluate how well your queues are performing. You can view metrics related to queues in the Amazon GameLift Servers console or in Amazon CloudWatch. For a list and descriptions of queue metrics, see Amazon GameLift Servers metrics for queues.

Queue metrics can provide insight about the following:

  • Overall queue performance – Queue metrics indicate how successfully a queue responds to placement requests. These metrics can also help you identify when and why placements fail. For queues with manually scaled fleets, the AverageWaitTime and QueueDepth metrics can indicate when you should adjust capacity for a queue.

  • FleetIQ algorithm performance – For placement requests using the FleetIQ algorithm, metrics show how often the algorithm finds ideal game session placement. The placement may prioritize using resources with the lowest player latency or resources with the lowest cost. There are also error metrics that identify common reasons why Amazon GameLift Servers can't find an ideal placement. For more information about metrics, see Monitor Amazon GameLift Servers with Amazon CloudWatch.

  • Location specific placements – For multi-location queues, metrics show successful placements by location. For queues that use the FleetIQ algorithm, this data provides useful insight into where player activity occurs.

When evaluating metrics for FleetIQ algorithm performance, consider the following tips:

  • To track the queue's rate of finding an ideal placement, use the PlacementsSucceeded metric in combination with the FleetIQ metrics for lowest latency and lowest price.

  • To boost a queue's rate of finding an ideal placement, review the following error metrics:

    • If the FirstChoiceOutOfCapacity is high, adjust capacity scaling for the queue's fleets.

    • If the FirstChoiceNotViable error metric is high, look at your Spot Instance fleets. Spot Instance fleets are considered not viable when the interruption rate for a particular instance type is too high. To resolve this issue, change the queue to use Spot Instance fleets with different instance types. We recommend that you include Spot Instance fleets with different instance types in each location.

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