What are some examples of using Lambda layers in AWS?
Lambda layers are a way to package and share code and dependencies across multiple Lambda functions. For example, you can create a layer for common libraries like NumPy or Pandas, which can be reused in different functions.
Can you give me a specific use case for a Lambda layer?
Sure! A common use case is to create a layer that includes a custom logging library. This way, all your Lambda functions can use the same logging functionality without duplicating code.
How do I create a Lambda layer?
To create a Lambda layer, you package your code and dependencies into a .zip file, then upload it to AWS Lambda through the console or CLI, and finally, you can attach it to your Lambda functions.
Are there any limitations on Lambda layers?
Yes, there are some limitations, such as a maximum size of 250 MB for the unzipped layer and a maximum of 5 layers per function.
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