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Optimized for: Gemini / ChatGPT / Claude
#AWS

Custom Metric Scaling for ECS Fargate via SQS Queue Depth

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Required Variables

ecs-fargate-sqs-backlog-per-task-scaling.txt
Develop a Step-Scaling policy for an ECS Fargate worker service [SERVICE_NAME] that scales based on the 'BacklogPerTask' metric from an SQS queue named [QUEUE_NAME]. Calculate the scaling adjustment needed to maintain [ACCEPTABLE_BACKLOG_PER_TASK] messages per task, up to a limit of [MAX_CAPACITY]. Provide the CloudWatch Math expression used to calculate this custom metric and the associated Application Auto Scaling resource configuration.

Example Text Output

"The output generates a custom CloudWatch metric and scaling policy that ensures worker capacity grows dynamically with the size of the processing queue."

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Frequently Asked Questions

What is the "Custom Metric Scaling for ECS Fargate via SQS Queue Depth" prompt used for?

The output generates a custom CloudWatch metric and scaling policy that ensures worker capacity grows dynamically with the size of the processing queue.

Which AI tools work with this prompt?

This prompt is optimized for Gemini / ChatGPT / Claude, but works great with ChatGPT, Claude, Gemini, and other large language models. Simply copy it and paste it into your preferred AI tool.

How do I customize this prompt?

Use the variable fields above to fill in your specific details. The prompt will auto-update as you type, ready to copy instantly.

Is this prompt free?

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