Amazon Web Services
docs.aws.amazon.com › aws lambda › developer guide › managing lambda dependencies with layers
Managing Lambda dependencies with layers - AWS Lambda
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).
GitHub
github.com › mthenw › awesome-layers
GitHub - mthenw/awesome-layers: λ A curated list of awesome AWS Lambda Layers. Sponsored by https://cloudash.dev · GitHub
ARN: arn:aws:lambda:us-east-1:764866452798:layer:ghostscript:1 Link: shelfio/ghostscript-lambda-layer ... ARN: arn:aws:lambda:<region>:175033217214:layer:graphicsmagick:<version> Link: rpidanny/gm-lambda-layer
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Is there any reason to use Lambda layers while using bundlers?
layers are just an orchestration tool, once the function is put together, it behaves very much like one package (aside from irrelevant differences). so the short answer is you don't need it if you already use an orchestration tool. More on reddit.com
Best way to build a python lambda layer?
I would do it in the AWS lambdaci/lambda docker image. While very similar to the Amazon Linux distros, the Lambda runtimes are somewhat different, and the docker images are the Lambda runtimes. I ran into trouble once building a crypto library as you suggest...wouldn't work when I loaded it into the Lambda layer, but once I did the docker image, no issue at all. https://hub.docker.com/r/lambci/lambda/ More on reddit.com
AWS Lambda Layers
This is so frigging cool. I can use this right now. Wow. The last 24 hours have been like a wish list made real for me. It's like Amazon was reading my mind! https://aws.amazon.com/blogs/aws/new-for-aws-lambda-use-any-programming-language-and-share-common-components/ More on reddit.com
Lambda Layers Best Practices
I don’t think any of those options sound like bad ones. The first seems the cleanest and easiest to maintain/revise. But if your library and the package are tightly coupled then the third might be best. Keep in mind the total size of your Lambda package and its layers can’t exceed 50MB compressed. More on reddit.com
Videos
10:21
Speeding up the AWS Lambda layer building - YouTube
09:09
Mastering External Dependencies in AWS Lambda with Layers - YouTube
11:02
Lambda Layers | Theory and Demo with Code - YouTube
10:11
AWS Lambda Layers Python - YouTube
09:06
Using AWS Lambda Layers in .NET - YouTube
08:23
AWS Lambda Layers Tutorial | Managing Python libraries in a better ...
Amazon Web Services
docs.aws.amazon.com › aws lambda › developer guide › managing lambda dependencies with layers › adding layers to functions
Adding layers to functions - AWS Lambda
To find layers in your account that are compatible with your function’s runtime, use the ListLayers API. For example, you can use the following list-layers AWS Command Line Interface (CLI) command: aws lambda list-layers --compatible-runtime python3.14
Amazon Web Services
docs.aws.amazon.com › aws lambda › developer guide › building lambda functions with python › working with layers for python lambda functions
Working with layers for Python Lambda functions - AWS Lambda
When specified, Lambda uses this parameter to filter layers in the Lambda console. ... Choose Create layer. Choose Upload a .zip file, and then upload the .zip archive that you created earlier. (Optional) For Compatible runtimes, choose the Python runtime that corresponds to the Python version you used to build your layer. Choose Create. ... AWS CLI command. For the --layers parameter, use the layer ARN. The ARN must specify the version (for example, arn:aws:lambda:us-east-1:123456789012:layer:my-layer:1).
Amazon Web Services
docs.aws.amazon.com › aws lambda › developer guide › managing lambda dependencies with layers › creating and deleting layers in lambda
Creating and deleting layers in Lambda - AWS Lambda
aws lambda publish-layer-version --layer-name my-layer --zip-file fileb://layer.zip --compatible-runtimes python3.14 · Each time that you run publish-layer-version, Lambda creates a new version of the layer. To delete a layer version, use the DeleteLayerVersion API operation. For example, run the delete-layer-version
GitHub
github.com › aws-samples › aws-lambda-layers-aws-sam-examples
GitHub - aws-samples/aws-lambda-layers-aws-sam-examples: This example application shows how to build AWS Lambda Layers using Node.js and the AWS Serverless Application Model. Questions? @jbesw. · GitHub
January 12, 2026 - This example application shows how to build AWS Lambda Layers using Node.js and the AWS Serverless Application Model. Questions? @jbesw. - aws-samples/aws-lambda-layers-aws-sam-examples
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Amazon Web Services
docs.aws.amazon.com › aws lambda › developer guide › building lambda functions with node.js › working with layers for node.js lambda functions
Working with layers for Node.js Lambda functions - AWS Lambda
When specified, Lambda uses this parameter to filter layers in the Lambda console. ... Choose Create layer. Choose Upload a .zip file, and then upload the .zip archive that you created earlier. (Optional) For Compatible runtimes, choose the Node.js runtime that corresponds to the Node.js version you used to build your layer. Choose Create. ... AWS CLI command. For the --layers parameter, use the layer ARN. The ARN must specify the version (for example, arn:aws:lambda:us-east-1:123456789012:layer:my-layer:1).
AWS
docs.aws.amazon.com › aws serverless application model › developer guide › develop your serverless application with aws sam › build your application with aws sam › customize builds with aws sam › building lambda layers in aws sam
Building Lambda layers in AWS SAM - AWS Serverless Application Model
When you include a layer's logical ID in the Layers property of a Lambda function in the same AWS SAM template file, the layer is a dependency of that Lambda function. When that layer also includes a Metadata resource attribute section with a BuildMethod entry, you build the layer either by building the entire application with the sam build command or by specifying the function resource with the sam build function-logical-id command. The following example AWS SAM template builds a layer against the Python 3.12 runtime environment.
Medium
medium.com › the-cloud-architect › getting-started-with-aws-lambda-layers-for-python-6e10b1f9a5d
Getting started with AWS Lambda Layers for Python | by Adrian Hornsby | The Cloud Engineer | Medium
June 1, 2023 - Let me explain — A Layer is a ZIP archive that contains libraries and other dependencies that you can import at runtime for your lambda functions to use. It is especially useful if you have several AWS Lambda functions that use the same set of functions or libraries — you know, code reuse :-) Since I build most of my experiments in python, I want to show you a small example ...
Medium
medium.com › @aleksej.gudkov › aws-lambda-layers-example-a-complete-guide-11a5a2252d76
AWS Lambda Layers Example: A Complete Guide | by UATeam | Medium
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. This article provides a step-by-step example of creating and using an AWS Lambda Layer, focusing on adding a shared library to multiple Lambda functions.
Amazon Web Services
docs.aws.amazon.com › aws lambda › developer guide › building lambda functions with java › working with layers for java lambda functions
Working with layers for Java Lambda functions - AWS Lambda
When specified, Lambda uses this parameter to filter layers in the Lambda console. ... Choose Create layer. Choose Upload a .zip file, and then upload the .zip archive that you created earlier. (Optional) For Compatible runtimes, choose the Java runtime that corresponds to the Java version you used to build your layer. Choose Create. ... AWS CLI command. For the --layers parameter, use the layer ARN. The ARN must specify the version (for example, arn:aws:lambda:us-east-1:123456789012:layer:my-layer:1).
OneUptime
oneuptime.com › home › blog › how to implement lambda layers
How to Implement Lambda Layers
January 27, 2026 - # Attach a single layer aws lambda update-function-configuration \ --function-name my-function \ --layers arn:aws:lambda:us-east-1:123456789012:layer:my-shared-utils:5 # Attach multiple layers (order matters - first layer is extracted first) aws lambda update-function-configuration \ --function-name my-function \ --layers \ arn:aws:lambda:us-east-1:123456789012:layer:my-shared-utils:5 \ arn:aws:lambda:us-east-1:123456789012:layer:monitoring-tools:3 # Remove all layers from a function aws lambda update-function-configuration \ --function-name my-function \ --layers [] # lambda_function.py """ Example Lambda function using code from a layer.
Amazon Web Services
docs.aws.amazon.com › aws lambda › developer guide › managing lambda dependencies with layers › packaging your layer content
Packaging your layer content - AWS Lambda
For each Lambda runtime, the PATH variable already includes specific folder paths within the /opt directory. To ensure that Lambda picks up your layer content, your layer .zip file should have its dependencies in one of the following folder paths: The following examples show how you can structure the folders in your layer .zip archive.
Amazon Web Services
docs.aws.amazon.com › cli › latest › reference › lambda › list-layers.html
list-layers — AWS CLI 2.34.21 Command Reference
The following list-layers example displays information about layers that are compatible with the Python 3.11 runtime. aws lambda list-layers \ --compatible-runtime python3.11