Learn best practices and guidance opportunities to optimize your serverless applications built with AWS Lambda.
Solutions Architects, Luca Mezzalira and Matt Diamond, join Julian Wood to discuss optimizations in the function configuration and within your function code. Find out how you can best measure and tune your function’s performance by configuring memory to get the right application performance. Discover best practices for initialization logic and reuse to enable fast startup and fast processing of your functions.
We are also available to answer any of your serverless questions.
Host: Julian Wood - Principal Developer Advocate, AWS Serverless: / julian_wood / julianrwood
Guests: Luca Mezzalira - Principal Serverless Solutions Architect, AWS: / lucamezzalira / lucamezzalira
Matt Diamond - Principal, Solutions Architect, AWS: / mattddiamond
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Stream links:
https://serverlessland.com/lambda
AWS Lambda performance tuning repo: https://github.com/aws-samples/optimi...
We Improved Our Lambda Warm Start Speed by 95%! Here’s How: https://community.aws/posts/improved-...
AWS Lambda Fundamentals: https://s12d.com/lambda-fundamentals
Cost Optimization for AWS Lambda: https://serverlessland.com/content/se...
AWS re:Invent 2022 - A closer look at AWS Lambda: • AWS re:Invent 2022 - A closer look at...
Profiling functions with AWS Lambda Power Tuning: https://docs.aws.amazon.com/lambda/la...
Using Parameter Store parameters in AWS Lambda functions: https://docs.aws.amazon.com/systems-m...
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Chapters:
00:00 Intro
02:18 Last Week in AWS Serverless
5:40 Lambda performance
6:23 Lambda under the hood
8:30 Unoptimized solution
09:45 Node.js function properties
15:15 Using Powertools
22:16 Before testing
27:53 Improving your function
32:03 Introducing caching
33:38 Updated ORM
37:30 Optimize Node.js builds
38:03 Using Lambda Power Tuning
40:22 Using Lambda extensions
43:23 After testing
46:33 Understanding RPS/TPS
48:45 Results!
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