AWS Lambda: Fix Memory Limit Stuck at 3008 MB

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If you’re experiencing an issue where your AWS Lambda function’s memory is capped at 3008 MB, don’t worry—this is a common problem, even for accounts that have been active for a while. While AWS states that Lambda functions can use up to 10 GB (10,240 MB) of memory in theory, some accounts have lower limits.

To boost your Lambda function’s memory beyond 3008 MB, you’ll need to request a limit increase from AWS Support. Here’s a simple step-by-step guide to help you through the process:

First, make sure you open your support case under the “Account and billing” category. It’s important because memory quotas aren’t adjustable through the standard Service Quotas console and require manual review from AWS Support.

Since your previous support case has been unassigned for two weeks, it’s best to start fresh by opening a new case. When you do, specifically request an increase for your Lambda function’s memory limit, making it clear that you need a value higher than 3008 MB.

If you have a business or enterprise support plan, consider reaching out to your Technical Account Manager directly. They may be able to help escalate your request more quickly.

When making your request, be sure to explain why you need this increase. For example, mention if your Lambda functions are processing time-sensitive data or require more memory for better performance.

Remember, increasing your Lambda’s memory also increases the allocated CPU power proportionally. For example, with 1,769 MB of memory, your function gets the equivalent of one vCPU. As you go higher, you’ll get more CPU resources, which can significantly enhance performance—especially for tasks that demand more processing power.

While waiting for the limit to be increased, you might want to optimize your current Lambda functions. You could also split your workload into multiple smaller functions to manage the processing more efficiently as a temporary fix.

For more detailed information, visit the AWS documentation links on configuring memory, understanding quota limits, and how memory relates to CPU power.