Optimize Your AWS Lambda Function With Power Tuning

Are you struggling tuning your Lambda function for cost and performance? This is the video for you. In this video, I show you how to use Lambda Power Tuning to optimize your function's performance at the lowest possible cost point.

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[Surrbradl]

The reason why there is no performance improvement after 2048MB in your example is that at 1, 769MB of memory, the lambda has excactly 1 vCPU (see AWS docs). Adding more memory adds a second vCPU which doesn't add any performance benefits in the case of your single threaded python code.

Nevertheless it was an awesome video.

[hiimthepoor]

Very useful video, thanks for sharing!!😁

[rugged]

Very useful. Thanks for sharing Daniel

[mrrishiraj]

Learning of the Day... for me. thanks.

[daricong]

Will you release serverless architecture course or bootcamp? Love the way you teach

[PritamBohra]

Hello Danial, are you going to add DynamoDB stuff to your lambda course or going to launch a new course all together?

[oscarmora]

Anyone have some idea of how to do it with all existing lambdas instead of one by one

[MultiversX]

It said 456MB was the best cost for me, but the max memory used in Lambda was 133MB. Should I set my CPU to 133MB based on that?

[vrnjhr]

Will this work of all different runtime lambda like Java, javascript, custom

[rafee]

Just some feedback, there's a slight hiss in the background of the audio

[zshn]

Thanks for the video. Side note: There is background noise in the audio and the audio bass too high. I'm listening on Sony WH-1000XM4 headphones. I switched to Google earbuds and still was the same.

[JalenBrunsonBurner]

Great video, could you show us how to do this on an already existing lambda function?