Question 1

How do I deploy a Node.js function to AWS Lambda with Lambdaws?

Accepted Answer

Use the λ() function to cloudify inline or modular code, specifying dependencies and settings. It automates packaging and uploading, as shown in the inline calculator example, but requires AWS credentials and IAM roles setup first.

Question 2

Lambdaws vs AWS Lambda CLI: which should I use?

Accepted Answer

Lambdaws automates more tasks like dependency packaging and SQS integration, but it's based on an old API. The AWS Lambda CLI is official, up-to-date, and recommended by Lambdaws maintainers for new projects, offering better long-term support.

Question 3

Does Lambdaws support AWS Lambda layers?

Accepted Answer

No, Lambdaws was developed before Lambda layers existed, so it doesn't support this feature. It relies on its own dependency packaging method, which can include system libraries but not layer-based sharing.

Question 4

Is Lambdaws still maintained or good for production?

Accepted Answer

The README strongly recommends using the AWS Lambda CLI instead, indicating Lambdaws is not actively maintained. It might work for legacy setups, but for production, modern tools like Serverless Framework or AWS SAM are safer choices.

Question 5

How does Lambdaws handle large libraries like PhantomJS?

Accepted Answer

It downloads and installs system libraries from a custom repository (e.g., :phantomjs), packaging them into the deployment to stay within Lambda's size limits, as detailed in the 'Using large external libraries' section.

Question 6

What are the performance overheads of using Lambdaws?

Accepted Answer

It adds minimal execution overhead but introduces SQS for result delivery, which can add ~150ms latency per function call if not using ignoreResponse. Additionally, the initial deployment and dependency resolution might slow down setup.

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