bookmark_borderServerless: How to share the ids of an existing API Gateway

The serverless documentation indicates how to share the ids of an API Gateway, but the technique described there seems to work only for a new deployment. (In my case, following this technique created a 2nd empty API Gateway whose ids were shared, which was, unsurprisingly, not fulfilling my needs).

Here is how to do it for an existing deployment.

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bookmark_borderPython Type Hinting: To hint or to cast?

During a code review, a colleague, Zachary Paden, asked me why I was calling the typing.cast function on my variables rather than creating temporary variables just to type hint. Well, just as he didn’t know about cast, I didn’t know that this approach worked. Being the nerdz that we are, he decided to measure the performance of each approach.

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bookmark_borderMinimize the size of lambdas by deleting boto3 from the deployment package

Last April, I wrote a post about managing boto3 in deployed packages. (See Minimizing the size of lambdas by avoiding having boto3 and its stubs in the deployment package). This approach works when all dependencies can be set in the development section.

But, what about when dependencies are required in production? For example, we recently had to deploy a lambda that depends on awswrangler. So the technique suggested in the previous post did not work. Here I will cover a different approach that allows to remove boto3 from the package to be deployed in the example context. It is however less flexible and based on a specific technology: serverless.

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bookmark_borderRecipe: Run a local copy of a WordPress site with Docker

I recently decided to publish my articles in French and in English. First, I had to find and test plugins in order to choose one. So I spent some time, more than I expected, to make it work locally through Docker. Since I encountered some pitfalls, I decided to share the recipe.

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bookmark_borderMinimizing the size of lambdas by avoiding having boto3 and its stubs in the deployment package

If you are having problems with AWS lambdas exceeding the 250MB limit, here is a tip that might help.

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