What are the differences between AWS SAM layers and packages?
An example of an AI chatbot conversation about AWS SAM layers and packages.
What are the differences between AWS SAM layers and packages?
AWS SAM layers are used to share common code and dependencies across multiple Lambda functions, while packages are used to deploy your application code and its dependencies as a single unit.
Can you give me an example of when to use layers?
Sure! If you have multiple Lambda functions that require the same library, you can create a layer for that library and reference it in each function, reducing redundancy.
What are the benefits of using layers?
Using layers can help you manage dependencies more efficiently, reduce deployment package size, and enable faster updates to shared code.
Are there any limitations to using layers?
Yes, there are limits on the number of layers you can attach to a function and the total size of all layers combined, which is currently 250 MB.
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