Adopting the Lambda Annotations Framework

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You can find the sample application in this GitHub repo. It comprises a Serverless Application Model (SAM) template, a Lambda function using .NET 6, and an API Gateway endpoint. The function runs when the endpoint receives a request. A Lambda layer carries the dependency on ffmpeg for processing of the audio created by Polly. You can also find the original Python version, used in an earlier Code Corner episode, there too.

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Hopefully, this post will have intrigued you enough to check out the new framework, and try converting some of your existing functions into what I think is a much more readable and easier to comprehend format. Also, the development team is always interested in feedback, which you can supply in the issues folder of their repo. You can also find the design document for the annotations in this issue.

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You can find the sample application in this GitHub repo. It comprises a Serverless Application Model (SAM) template, a Lambda function using .NET 6, and an API Gateway endpoint. The function runs when the endpoint receives a request. A Lambda layer carries the dependency on ffmpeg for processing of the audio created by Polly. You can also find the original Python version, used in an earlier Code Corner episode, there too.

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  Official mirror for interface definitions and helper classes for Java code running on the AWS Lambda platform.

  

If you're a .NET developer working with AWS Lambda I hope you've heard about the new Lambda Annotations Framework. It's an open-source framework for .NET-based Lambda functions which (in my opinion) simplifies your function code, reducing boilerplate. In this blog post, published with the release of the original preview, you'll find the ideas behind the framework discussed in more detail.

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