Understanding AWS Lambda

AWS Lambda is a serverless compute service that allows you to run code without provisioning or managing servers. It automatically scales your applications by running code in response to each trigger, such as changes in data or system state. Lambda is designed to handle a wide range of workloads, from simple data processing to complex machine learning models.

Identifying the Symptom

When working with AWS Lambda, you might encounter the CodeStorageExceededException. This error indicates that the total size of all your Lambda function code has exceeded the storage limit set by AWS for your account. As a result, you may be unable to deploy new functions or update existing ones.

Exploring the Issue

What is CodeStorageExceededException?

The CodeStorageExceededException is an error code that AWS Lambda throws when the cumulative size of all your deployed Lambda function code surpasses the allocated storage limit. This limit is set by AWS and applies to all functions within a single AWS account.

Why Does This Happen?

This issue typically arises when numerous Lambda functions are deployed, or when individual functions have large code packages. It can also occur if old or unused functions are not deleted, leading to unnecessary consumption of storage space.

Steps to Resolve CodeStorageExceededException

1. Identify Unused Functions

Start by identifying Lambda functions that are no longer in use. You can do this by reviewing the function usage metrics in the AWS CloudWatch console. Look for functions with little to no invocation over a significant period.

2. Delete Unused Functions

Once you have identified unused functions, delete them to free up storage space. You can delete a function using the AWS Management Console or the AWS CLI:

aws lambda delete-function --function-name

Replace <function-name> with the name of the function you wish to delete.

3. Optimize Function Code

Review your existing functions and optimize their code to reduce size. Consider using smaller libraries or removing unnecessary dependencies. You can also use tools like Webpack to bundle and minify your code.

4. Request a Storage Limit Increase

If you have optimized your functions and still face storage issues, consider requesting a storage limit increase from AWS. You can do this by opening a support ticket through the AWS Support Center.

Conclusion

By following these steps, you can effectively manage your AWS Lambda storage and avoid the CodeStorageExceededException. Regularly reviewing and optimizing your Lambda functions will help maintain efficient storage usage and ensure smooth deployment of new functions.