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Optimized for: Gemini / ChatGPT / Claude

#AWS

Custom Metric Scaling for ECS Fargate via SQS Queue Depth

Customize the variables below to instantly engineer your prompt.

Required Variables

✦ QUEUE NAME

✦ SERVICE NAME

✦ ACCEPTABLE BACKLOG PER TASK

✦ MAX CAPACITY

ecs-fargate-sqs-backlog-per-task-scaling.txt

Act as an Event-Driven Architecture Expert. Develop a highly responsive Step-Scaling policy for a background ECS Fargate worker service named [SERVICE_NAME]. The service must scale not on CPU, but strictly based on the real-time 'BacklogPerTask' metric derived from an Amazon SQS queue named [QUEUE_NAME]. Detail the CloudWatch Metric Math expression required to continuously divide the `ApproximateNumberOfMessagesVisible` by the `RunningTaskCount`. Configure the exact step adjustments (e.g., add 5 tasks if backlog > 100, add 10 tasks if backlog > 500) required to maintain the [ACCEPTABLE_BACKLOG_PER_TASK] threshold, strictly capped by an absolute [MAX_CAPACITY] to prevent runaway cloud billing. Output the Terraform configuration for the `aws_appautoscaling_policy` resource.

Launch In:ChatGPT Claude Gemini

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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