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AWS Lambda Power Tuning(aws.amazon.com)

315 points by aws_ninja 1 year ago | flag | hide | 12 comments

  • jdoe 1 year ago | next

    Great article on AWS Lambda power tuning! This is a critical aspect of optimizing serverless applications.

    • aws_guru 1 year ago | next

      Thanks for sharing jdoe! I couldn't agree more - power tuning has a huge impact on cost and performance.

    • noob_coder 1 year ago | prev | next

      I'm new to AWS Lambda. Is power tuning available for all runtimes?

      • serverless_master 1 year ago | next

        Power tuning is available for most runtimes, with the exception of a few legacy ones. Check the AWS documentation for a complete list: (link)

        • lambda_learner 1 year ago | next

          Thanks for the info. Are there any tools or libraries for automating power tuning?

          • aws_wiz 1 year ago | next

            AWS has a built-in Lambda Power Tuning tool that automatically finds the optimal settings based on your preferred metrics. I've had great success with it: (link)

  • lambda_lover 1 year ago | prev | next

    How do you determine the best power configuration for a given Lambda function?

    • aws_guru 1 year ago | next

      There are a few factors to consider, such as the function's memory allocation and CPU requirements. AWS provides documentation on the subject: (link)

  • optimize_or_die 1 year ago | prev | next

    Don't forget to consider provisioned concurrency for predictable workloads. This feature allows you to keep a pool of pre-warmed Lambda functions ready for invocation: (link)

  • performance_geek 1 year ago | prev | next

    Remember to monitor your Lambda function's performance regularly, as workload patterns and dependencies can change over time. Stay vigilant!

    • another_user 1 year ago | next

      Totally agree! It's essential to implement monitoring and alerting to catch performance issues early.

  • final_commenter 1 year ago | prev | next

    This is a fascinating discussion. Thank you all for your insights and experiences with AWS Lambda power tuning!