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Copy file name to clipboardExpand all lines: .github/workflows/reusable_deploy_v3_sar.yml
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#
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# 1. This workflow starts after the layer artifact is produced on `publish_v3_layer`
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# 2. We use the same layer artifact to ensure the SAR app is consistent with the published Lambda Layer
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# 3. We publish the SAR for 3.8 to 3.12 Python runtime and both x86_64 and arm64 (see `matrix` section)
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# 3. We publish the SAR for 3.8 to 3.13 Python runtime and both x86_64 and arm64 (see `matrix` section)
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# 4. We use `sam package` and `sam publish` to publish the SAR app
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# 5. We remove the previous Canary stack (if present) and deploy a new one to test the SAR App. We retain the Canary in the account for debugging purposes
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# 6. Finally the published SAR app is made public on the PROD environment
Copy file name to clipboardExpand all lines: docs/index.md
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@@ -267,7 +267,7 @@ In this context, `[aws-sdk]` is an alias to the `boto3` package. Due to dependen
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### Lambda Layer
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[Lambda Layer](https://docs.aws.amazon.com/lambda/latest/dg/configuration-layers.html){target="_blank"} is a .zip file archive that can contain additional code, pre-packaged dependencies, data, or configuration files. We compile and optimize [all dependencies](#install) for Python versions from **3.8 to 3.12**, as well as for both **arm64 and x86_64** architectures, to ensure compatibility. We also remove duplicate dependencies [already available in the Lambda runtime](https://github.com/aws-powertools/powertools-lambda-layer-cdk/blob/d24716744f7d1f37617b4998c992c4c067e19e64/layer/Python/Dockerfile#L36){target="_blank"} to achieve the most optimal size.
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[Lambda Layer](https://docs.aws.amazon.com/lambda/latest/dg/configuration-layers.html){target="_blank"} is a .zip file archive that can contain additional code, pre-packaged dependencies, data, or configuration files. We compile and optimize [all dependencies](#install) for Python versions from **3.8 to 3.13**, as well as for both **arm64 and x86_64** architectures, to ensure compatibility. We also remove duplicate dependencies [already available in the Lambda runtime](https://github.com/aws-powertools/powertools-lambda-layer-cdk/blob/d24716744f7d1f37617b4998c992c4c067e19e64/layer/Python/Dockerfile#L36){target="_blank"} to achieve the most optimal size.
Copy file name to clipboardExpand all lines: docs/upgrade.md
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@@ -108,7 +108,7 @@ We have stopped exporting Pydantic objects directly from `aws_lambda_powertools.
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!!! note "No code changes required"
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To give you better a better experience, we're now building Powertools for AWS Lambda (Python)'s Lambda layers for specific Python versions (`3.8-3.12`) and architectures (`x86_64` & `arm64`).
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To give you better a better experience, we're now building Powertools for AWS Lambda (Python)'s Lambda layers for specific Python versions (`3.8-3.13`) and architectures (`x86_64` & `arm64`).
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This also allows us to include architecture-specific versions of both Pydantic v2 and AWS Encryption SDK and give you a more streamlined setup.
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