Question 1

How to test AWS Lambda functions locally with python-lambda?

Accepted Answer

Use the lambda invoke command with an event.json file to simulate events. You can customize the event file for different test scenarios, making local development straightforward without AWS access.

Question 2

Python-lambda vs Serverless Framework: which is better for AWS Lambda?

Accepted Answer

Python-lambda is lighter and focused solely on Python deployment, while Serverless Framework supports multiple languages and broader AWS integrations. Choose python-lambda for simple Python projects, but opt for Serverless if you need multi-service management or infrastructure-as-code.

Question 3

How to deploy Python Lambda functions with dependencies using python-lambda?

Accepted Answer

Run lambda deploy after setting up config.yaml. The tool automatically packages your virtualenv dependencies and handler code into a zip file and uploads it to AWS Lambda, handling dependency resolution for you.

Question 4

Can python-lambda handle secure environment variables?

Accepted Answer

Yes, configure environment variables in config.yaml and use local environment variable references (e.g., ${VAR}) to avoid hard-coding secrets. This allows secure management by loading values at deployment time.

Question 5

How to wire a Lambda function to an API Gateway endpoint with python-lambda?

Accepted Answer

After deploying, use the AWS console to add an API Gateway endpoint and adjust your handler to return proper HTTP responses (e.g., with statusCode and headers), as detailed in the README wiring example.

Question 6

What are the size limits for Lambda deployments with python-lambda?

Accepted Answer

For large bundles exceeding AWS API limits, use lambda upload to S3 and then deploy-s3, as the README mentions this bypasses the 50MB direct upload limit by leveraging S3 for storage.

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