Snakes and Ladders: The Ups and Downs of Python Development with AWS Lambda
summary
Shows that ~30% of AWS Lambda functions use Python, cites Python’s shortest cold starts, and demonstrates concrete fixes: Lambda Powertools for structured logging/tracing/metrics, python-lambda-local plus moto for local tests, and tox/poetry for CI. Details include using boto3 to put S3 objects, Lambda layers (max five, 250 MB combined) versus container images (up to 10 GB in ECR), measured cold-start differences, and recommends containers when dependency size or reproducible Linux environments cause failures.
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chapters (8)
- 0:00Introduction and agenda
- 1:09What is AWS Lambda
- 8:35Python Lambda challenges
- 12:09Lambda Power Tools
- 16:43Lambda layers vs containers
- 21:15Testing Python Lambdas
- 26:50Summary and tools recap
- 29:40Q&A session
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