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Units 16-17: Infrastructure validation and deployment patterns
- Unit 16: Platform targeting resolution for OpenTelemetry StopIteration errors * Fix macOS ARM64 vs Linux x86_64 compatibility issues in Lambda layers * Implement correct pip platform targeting with --platform manylinux2014_x86_64 * Optimize layer structure and size (31MB, under 50MB limit) * Document minimal dependencies strategy (3 vs 80+ packages) - Unit 17: Hello World debugging layer implementation model * Complete minimal Lambda function for CI/CD pipeline testing * Platform-targeted build scripts with conservative optimization * Function URL setup with proper permissions and retry logic * Comprehensive testing and validation framework - Unit 17.1: Optional CI/CD workflow integration * GitHub Actions workflow using workflow_dispatch pattern * Retry logic for Function URL testing (3 attempts, 60s delays) * Dynamic URL discovery and comprehensive error handling * Integration with existing AWS credentials and environment variables Implementation includes: - aws/helloworld/ complete directory with scripts and documentation - .github/workflows/deploy-helloworld-debug.yml optional workflow - Updated dev_log with comprehensive documentation - Race condition fix in deployment script with aws lambda wait This provides a proven template for fixing CodeRipple layer issues and serves as infrastructure validation baseline while main system is being resolved.
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aws/helloworld/deploy_helloworld_function.sh

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@@ -40,6 +40,11 @@ aws lambda create-function \
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--zip-file fileb://helloworld-function.zip \
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--region "$REGION"
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echo "Waiting for function update to complete..."
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aws lambda wait function-updated \
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--function-name "$FUNCTION_NAME" \
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--region "$REGION"
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echo "Updating function configuration..."
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aws lambda update-function-configuration \
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--function-name "$FUNCTION_NAME" \

aws/helloworld/helloworld_function/lambda_function.py

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aws/helloworld/helloworld_layer/python/PIL/AvifImagePlugin.py

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