Optimize Your AWS Lambda Deployments with Lambda Layers ??
Are you dealing with:
It’s time to say goodbye to these challenges with AWS Lambda Layers!
What Are Lambda Layers?
Lambda Layers are reusable bundles of dependencies that you can share across multiple Lambda functions. This approach drastically reduces package sizes, speeds up deployments and improves efficiency.
Tired of generic guides that don’t cover .NET? I've got you covered!
Prerequisites
Steps to Create Lambda Layers for .NET
Step 1: Consolidate Dependencies
Move all common dependencies to a manifest.xml file.
Step 2: Create the Deployment Package for the Lambda Layer
Run the following command to generate your deployment package:
dotnet store --manifest manifest.xml --runtime win-x64 --framework net8.0 --skip-optimization --output ./dotnetcore/store
This creates a self-contained package with all the dependencies needed for your Lambda layer.
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Step 3: Publish Your Lambda Function
dotnet publish --manifest artifact.xml
This generates a publish-ready version of your function.
Step 4: Package and Upload
For the Lambda Layer:
For the Lambda Function:
Step 5: Add an Environment Variable
Set the following environment variable in your Lambda function configuration:
DOTNET_SHARED_STORE Value: /opt/dotnetcore/store/
Why Use .NET Lambda Layers?
?? Pro Tip: Lambda Layers aren’t just for dependencies. You can also include utility code, shared configuration files, or even runtime-specific tools.
?? Start using Lambda Layers today and unlock the full potential of serverless development with .NET!
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