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Asked: 2024-09-27T09:37:09+05:30 In:

I am trying to adjust the timeout settings for an AWS Lambda function in my CDK project, but I am encountering issues. Despite specifying a longer timeout duration in my CDK stack, it seems that the setting is not being applied as expected. Can anyone provide guidance on how to effectively increase the Lambda timeout using AWS CDK?

I’m working on a project using AWS CDK and I’m hitting a bit of a snag with the Lambda function timeout settings. So, here’s the scoop: I’ve got a Lambda function that I know takes a bit longer to run because it’s doing some heavy data processing. I thought I’d be smart and adjust the timeout settings to give it some extra breathing room.

In my CDK stack, I’ve explicitly set a longer timeout duration. I’m talking about bumping it up to the max, which I believe is 15 minutes. But here’s where things get weird – it seems like my changes aren’t being applied at all. I double-checked my code, and the changes are definitely there, but it’s still timing out way earlier than it should.

I’m using the latest version of the AWS CDK, and I’ve redeployed my stack multiple times, hoping that it would take the new settings into account. I even tried updating some of the dependencies in case something was wonky there, but no luck. It’s almost like the timeout configuration is stuck or something. Have I missed a step in the whole deployment process?

To give you a clearer picture, here’s a snippet of what I’m trying to do in my CDK code:

“`javascript
const myLambda = new lambda.Function(this, ‘MyFunction’, {
runtime: lambda.Runtime.NODEJS_14_X,
handler: ‘index.handler’,
code: lambda.Code.fromAsset(‘lambda’),
timeout: cdk.Duration.minutes(15), // This is my attempt to set it to 15 minutes
});
“`

Is there something specific I need to look out for when modifying the timeout settings, or perhaps there are some limitations I’m not aware of? I’ve scoured the AWS documentation and checked forums but haven’t found a clear answer. If anyone has dealt with a similar issue or has some tips, I’d really appreciate your insights. Thanks!

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    2 Answers

    1. It sounds like you’re doing everything right with your CDK code! I totally get how frustrating it can be when settings seem to not take effect.

      Here are a couple of things you might want to check out:

      1. CloudFormation Stack Events: After deploying your stack, check the CloudFormation console for any events or errors related to the Lambda function. Sometimes, there’s a hint there about why the configuration didn’t stick.
      2. Lambda Console: Head over to the AWS Lambda console and check your function’s configuration settings directly. Make sure the timeout is showing as you set it. If it’s not, there might be overrides happening somewhere.
      3. Environment Variables or Resource Policies: Sometimes certain environment settings or policies might indirectly affect your function. Double-check if you have any restrictions set up that could be limiting the execution time.
      4. Stacks and Dependencies: Just to make sure, try deploying your stack with a different name or deleting and recreating it. That sounds extreme, but sometimes it helps if there’s leftover stuff hanging around.

      And as a last resort, try a simple test with a different timeout value, like 1 minute, to see if that change reflects. If it does, it might point to something funky going on with the 15-minute setting.

      Hopefully, you’ll get it sorted out soon. Good luck!

    2. When working with AWS Lambda functions in the AWS CDK, it’s vital to ensure that the timeout setting is correctly applied and recognized by the deployment process. If you’re explicitly setting the timeout to 15 minutes using `cdk.Duration.minutes(15)`, and it’s not reflecting as expected, start by verifying whether the AWS CloudFormation stack updates have occurred successfully. Sometimes, the changes could potentially be overridden by another layer of configuration or stack updates not propagating as expected. Additionally, check the AWS Lambda console directly to see if the timeout value reflected there aligns with your CDK code. Since you are using the latest version of the AWS CDK, it might also be beneficial to re-examine the specific constructs or parameters that are in use to ensure there are no inconsistencies.

      Moreover, if you’re certain that the code has been redeployed correctly, consider verifying if there are any environmental variable settings or deployment configurations that could affect the timeout behavior. This includes checking for any AWS IAM permissions that may influence execution limits or role assumptions that are tied into Lambda execution contexts. If you have access to AWS CloudWatch logs, explore them for any warning or error messages that may hint at configuration issues. Lastly, explore using CDK versioning best practices to ensure you are deploying the correct version of your stack, as issues can also arise from deploying outdated code inadvertently.

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