The final result is something like that:Īn AWS Lambda layer can be created an uploaded as a zip archive onto AWS Lambda by selecting from AWS console: Lambda > Layers > Create (button on top right corner).īasically the archive uploaded is expecting a folder structure containing a bin/ root folder where the requested binaries will be found by the AWS Lambda function. Starting from a given layout image (similar to the one of a credit card), ImageMagick will be in charge to add customized written for a given requesting user. Use Case: generating an image containing a card layout with customized written The practical scenario is the possibility to store dependencies without the need of re-upload them, each time the function is modified. They are supposed to contain static dependencies used by a function that generally do not change over the time. When creating serverless functions in AWS Lambda, one of the best feature is the opportunity to create layers. In other words, you should focus on size even for layers, as they will steal space from your real function code. Note: when creating a layer keep in mind that it will contribute to the final size of package to be deployed. In this post I will describe how create from scratch a usable AWS Lambda layer for ImageMagick with freetype support. But, in my specific use case, I also have to deal with special fonts, adding strings onto the image.Įven if it exists a widespread ImageMagick Layer among AWS Lambda shared layers, it lacks of freetype support, the libraries which add a font engine, so it was not usable at all. Within one of my AWS Lambda functions, I needed to leverage of ImageMagick in order to perform some transformations on the input image received by the Lambda function.
0 kommentar(er)
