When you create a new layer, Lambda creates a new layer version with a version number of 1. Each time you publish an update to the layer, Lambda increments the version number and creates a new layer version. Every layer version is identified by a unique Amazon Resource Name (ARN). When adding a layer to the function, you must specify the exact layer version you want to use (for example, arn:aws:lambda:us-east-1:123456789012:layer:my-layer:1).

January 27, 2026 - Args: layer_name: Name for the layer source_dir: Directory containing layer contents description: Layer description runtimes: List of compatible runtimes region: AWS region Returns: Response from publish_layer_version API call """ client = boto3.client("lambda", region_name=region) # Create the ZIP file zip_content = create_layer_zip(source_dir) # Publish the layer response = client.publish_layer_version( LayerName=layer_name, Description=description, Content={"ZipFile": zip_content}, CompatibleRuntimes=runtimes, CompatibleArchitectures=["x86_64", "arm64"], ) print(f"Published layer: {response

For more information, see AWS CLI supported global command line options in the AWS Command Line Interface User Guide for Version 2. ... Choose the function. Scroll down to the Layers section, and then choose Add a layer. Under Choose a layer, select Custom layers, and then choose your layer. If you didn't add a compatible runtime when you created the layer, your layer won't be listed here. You can specify the layer ARN instead. Choose Add. For more examples of how to use Lambda layers, see the layer-python

February 13, 2023 - That's where Lambda layers come into play. AWS Lambda layers are uploaded once and can be used by multiple Lambda functions.

December 27, 2024 - AWS Lambda Layers allow developers to share common code and dependencies across multiple Lambda functions, simplifying management and reducing deployment package size.

March 14, 2024 - Lambda layers are a valuable asset for any serverless developer on AWS. By leveraging layers, you can create cleaner, more manageable codebases, improve deployment efficiency, and promote code reuse across your serverless applications.

September 25, 2022 - An Overview of AWS Lambda Layers Lambda Layers are used to share code between Lambda Functions. The type of code could be anything like Libraries, Dependencies, a function/method that's shared across …

September 14, 2023 - Lambda Layers enable code reusability, easier maintenance, and improved performance in serverless computing. By externalizing common code and libraries into .zip files, developers can streamline development, reduce package size, and enhance the consistency and efficiency of lambda functions, ...

August 30, 2019 - No matter how I look at it, I see that Lambda Layers only introduce a dependency hell with hard to avoid regressions, break the Lambda Function encapsulation, require more complex tooling to work with the code and prevents the build optimization practices from being effectively implemented. In conclusion, if you are working with JavaScript, Node.js and npm I would strongly advise to avoid usage of the AWS Lambda Layers and publish each Lambda Function as a single self-sufficient package with explicit dependencies and using bundling with dead code elimination techniques to publish your code as a single optimized file.

A list of function layers.

For more information, see Lambda quotas. Your functions can continue to use any layer version that you’ve already added, even after that layer version has been deleted, or after your permission to access the layer is revoked. However, you cannot create a new function that uses a deleted layer version. ... Choose the function. Scroll down to the Layers section, and then choose Add a layer. ... AWS layers: Choose from the list of AWS-managed extensions.

May 10, 2023 - Lambda Layers are essentially ZIP archives that can be uploaded and associated with one or more Lambda functions. When a function is executed, AWS automatically makes the contents of the associated layers available to the function code, along ...

January 18, 2023 - In this article, Learn about AWS Lambda Layers - Why we need them and how to create them. Learn how to refer lambda layers code in your lambda function.

May 24, 2021 - You can include up to five layers per function, which count towards the unzipped deployment package size limit of 250 MB. Layers are automatically set as private, but they can be shared with other AWS accounts, or shared publicly. Lambda Extensions are a way to augment your Lambda functions and are deployed as Lambda layers.

December 31, 2025 - AWS Lambda Layers — Managing Dependencies the Right Way As AWS Lambda applications grow, one problem shows up sooner than expected: Dependency chaos. The same libraries bundled again and …

June 2, 2025 - The diagram above depicts three Lambda functions A, B, and C each function containing its own business logic code.Three shared Lambda layers, Layer 1, Layer 2 and Layer 3 are mounted at /opt in function A and B execution environments whiles ...

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December 11, 2024 - AWS Lambda has become a cornerstone of serverless architecture, enabling developers to run code without provisioning or managing servers. However, as applications grow, managing shared code, dependencies, and runtime configuration across multiple Lambda functions becomes challenging. This is where Lambda Layers step in to streamline development and deployment.

October 30, 2023 - On the ‘Public Applications’ tab search for ‘layer-builder’ (make sure you have ‘Show apps that create custom IAM roles or resource policies’ ticked) and then click on the application that matches the Python version and architecture of your Lambda function i.e. choose python3–11-x86–64-layer-builder if your Lambda function is using python3.11 and based on the x86–64 architecture.