Optimize Your AWS Lambda Function With Power Tuning

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  • Опубликовано: 11 июл 2024
  • 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.
    Looking to get hands on experience building on AWS with a REAL project? Check out my course - The AWS Learning Accelerator! courses.beabetterdev.com/cour...
    Power tuning github - github.com/alexcasalboni/aws-...
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Комментарии • 30

  • @BeABetterDev
    @BeABetterDev  Год назад +2

    Check out my Lambda Course Here: www.udemy.com/course/aws-lambda-a-practical-guide/?referralCode=F6D1A50467E579C65372

    • @BharghavaCharan
      @BharghavaCharan Год назад

      Is this course available on udemy business?

    • @BeABetterDev
      @BeABetterDev  Год назад

      Hi Phalguna, if you mean you're looking for a team package, I can possibly put something together for you. Feel free to reach out at daniel@beabetterdev.com to discuss specifics.
      Daniel

  • @Surrbradl08
    @Surrbradl08 Год назад +12

    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.

    • @BeABetterDev
      @BeABetterDev  Год назад +2

      Thanks for the great insight Lorenz! This makes perfect sense. It would be interesting to repeat the experiment with multiple threads.
      Cheers

  • @hiimthepoor8520
    @hiimthepoor8520 Год назад +1

    Very useful video, thanks for sharing!!😁

  • @rugged9769
    @rugged9769 Год назад +2

    Very useful. Thanks for sharing Daniel

    • @BeABetterDev
      @BeABetterDev  Год назад

      You're very welcome Jun! Glad you enjoyed.

  • @guillaume5623
    @guillaume5623 Год назад

    This is gold Thank you

  • @pippopeppe83
    @pippopeppe83 Год назад

    wonderful explanation thanks a lot

  • @mrrishiraj88
    @mrrishiraj88 9 месяцев назад

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

  • @daricong8971
    @daricong8971 Год назад +1

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

  • @user-bu3hz5be5w
    @user-bu3hz5be5w Год назад +1

    It`s super helpfull!

  • @bobdpa
    @bobdpa Год назад +1

    Awesome 👍

  • @georgelobo4048
    @georgelobo4048 Год назад +1

    Excelent!

  • @PritamBohra
    @PritamBohra Год назад

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

  • @vrnjhr
    @vrnjhr Год назад +1

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

  • @oscarmora2105
    @oscarmora2105 Год назад

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

  • @MultiversX
    @MultiversX Год назад

    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?

  • @vaibhavaggarwal5710
    @vaibhavaggarwal5710 Год назад +1

    where is the link?

    • @ThourCS2
      @ThourCS2 Год назад

      didn't shared lol

  • @rafee12
    @rafee12 Год назад

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

  • @zshn
    @zshn Год назад

    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.

    • @BeABetterDev
      @BeABetterDev  Год назад +1

      Thanks Zeeshan. This video was using my old mic - I believe it should be better now with my more recent videos.

  • @JalenBrunsonBurner
    @JalenBrunsonBurner Год назад

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

    • @udovyk
      @udovyk Год назад +2

      It's exactly what he did in the video :)