aws_lambda_layers 10 Q&As

AWS Lambda Layers FAQ & Answers

10 expert AWS Lambda Layers answers researched from official documentation. Every answer cites authoritative sources you can verify.

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10 questions
A

Distribution mechanism for libraries, custom runtimes, and dependencies shared across Lambda functions. Layer = ZIP archive extracted to /opt in function execution environment. Benefits: reduce deployment package size, share code across functions, separate dependencies from business logic. Limit: 5 layers per function, 250MB unzipped total.

99% confidence
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Package dependencies in correct directory structure: python/lib/python3.x/site-packages/ (Python), nodejs/node_modules/ (Node.js), ruby/gems/2.7.0/ (Ruby). ZIP structure, upload via: aws lambda publish-layer-version --layer-name my-layer --zip-file fileb://layer.zip --compatible-runtimes python3.12. Attach to function: aws lambda update-function-configuration --function-name my-func --layers arn:aws:lambda:region:account:layer:my-layer:1.

99% confidence
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Best practices: (1) Immutable versions (each update creates new version), (2) Semantic versioning in layer name (my-layer-v1-2-0), (3) ARN with version in function config (arn:...:layer:my-layer:3, not latest), (4) Test new versions before updating production functions, (5) Deprecate old versions after migration (DeleteLayerVersion). Versions retained indefinitely unless deleted.

99% confidence
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Grant permission: aws lambda add-layer-version-permission --layer-name my-layer --version-number 1 --principal 123456789012 --action lambda:GetLayerVersion. For public: --principal '*' (use with caution). Other account references layer ARN from original account. Common use case: shared libraries across organization accounts.

99% confidence
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AWS provides layers for: (1) AWS SDK (updated regularly, avoid bundling in function), (2) Lambda Insights (CloudWatch monitoring), (3) AWS Parameters and Secrets extension, (4) X-Ray SDK. Regional ARNs published in docs. Example: AWS SDK for Python (boto3) layer ARN per region. Use to reduce deployment size.

99% confidence
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Size limits: 50MB zipped per layer, 250MB total unzipped (all layers + function). Cold start: layers add ~50-200ms extraction time (cached between invocations). Optimization: minimize layer count (combine related dependencies), use sparse layers (only add to functions that need), compress (zstd for faster extraction). Monitor cold start with X-Ray.

99% confidence
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Debug techniques: (1) Print sys.path (Python) or process.env.NODE_PATH (Node.js) in handler, (2) Verify ZIP structure (unzip layer.zip locally, check paths), (3) Test locally with SAM CLI (sam local invoke with --layers), (4) CloudWatch Logs: 'ModuleNotFoundError' indicates wrong path, (5) List /opt contents in handler (os.listdir('/opt')).

99% confidence