Optimizing AWS Lambda Performance and Cost for Your Serverless Applications - AWS Online Tech Talks

Developers using AWS Lambda have a range of options for performance-tuning their functions. Understanding how to get the most from Lambda can improve your application throughput, reduce latency, and lower overall cost. In this tech talk, we cover common misconceptions about cold starts, and the different impact of cold starts between sync, async, and streaming invocations. Learn about some of the newest features that can optimize Lambda performance and reduce cost and see how making good architectural decisions can help improve performance. Learn why memory allocation is so important and how to profile your Lambda functions to find the optimal configuration. We’ll also talk about best practices for Lambda to help you get the most from your serverless applications.
Learning Objectives:
* Understand how to allocate memory to optimize Lambda performance.
* Correct misconceptions about cold starts.
* Learn how to leverage new features to improve performance and reduce cost.
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[@sz_peter]

Really useful and informative video, thank you for sharing!

[@alexeyalexandrov7583]

Nice talk, Julian.
Question: is it ok that X-Ray affects performance? From my experience lambda latency p90 is 2x slower with X-ray (node12, aws-sdk v2, x-ray sdk is latest). By X-ray I don't mean just ticked the checkbox but actually wrapping clients like in the video at 8:12 .
P.S. We follow other best practices like pointed at 38:40