[{"data":1,"prerenderedAt":48},["ShallowReactive",2],{"explore-reinvent2023-svs321":3},{"id":4,"title":5,"YouTubeChannelID":6,"banner":6,"contributors":7,"description":6,"extension":10,"introBox":11,"meta":14,"pdf":15,"resources":17,"stem":46,"type":6,"video":6,"videos":6,"__hash__":47},"explore\u002Fexplore\u002Freinvent2023-svs321.json","Resources for SVS321",null,[8,9],"content\u002Fcontributors\u002Fjustin-pirtle.json","content\u002Fcontributors\u002Ffranklin-aguinaldo.json","json",{"headline":12,"text":13},"Designing your serverless API workloads for massive scale","Learn to architect your serverless API workloads on AWS to scale to meet virtually any demand while also reducing your operational overhead. This chalk talk discusses key design principles for Amazon API Gateway, AWS Lambda, and Amazon DynamoDB to achieve massive scale. Learn how to apply the techniques of asynchronous processing, caching, rate limiting, and performance optimization to evolve a real-world architecture to seamlessly handle large bursts of traffic. This talk includes an in-depth Q&A session throughout.",{},{"source":16,"headline":12},"https:\u002F\u002Fserverlessland.s3.amazonaws.com\u002Fpdf\u002Freinvent2023\u002FSVS321_DesigningServerlessApisMassiveScale_2023.pdf",{"left":18,"right":32},[19,25],{"headline":20,"subheading":21,"text":22,"button":23},"Optimizing AWS Lambda Performance and Cost for Your Serverless Applications","Online Talk","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.",{"text":21,"link":24},"https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=z8wGSykEauI",{"headline":26,"subheading":27,"text":28,"button":29},"Lambda Power Tuning","Open-source optimization tool","AWS Lambda Power Tuning is an open-source tool that can help you visualize and fine-tune the memory\u002Fpower configuration of Lambda functions. It runs in your own AWS account - powered by AWS Step Functions - and it supports three optimization strategies: cost, speed, and balanced.",{"text":30,"link":31},"Open-source Tool","https:\u002F\u002Fgithub.com\u002Falexcasalboni\u002Faws-lambda-power-tuning",[33,39],{"headline":34,"subheading":21,"text":35,"button":36},"Architecting your serverless applications for hyperscale","Do you have a major launch event coming up? By building your APIs and web applications with AWS serverless computing, you can gain scalability with reduced operational overhead. However, it’s still important to implement best practices for complete scalability. In this session, learn about core principles to prepare your serverless applications for hyperscale—including how to apply these architectural patterns and best practices practically—and explore a major launch use case from start to finish. Learn how techniques such as asynchronous processing, caching, rate limiting, and AWS Lambda performance optimizations can help you scale your serverless workload to meet virtually any demand.",{"text":37,"link":38},"Watch","https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=GNUSdekIaMw",{"headline":40,"subheading":41,"text":42,"button":43},"Lambda Function Scaling","Documentation","Official Lambda documentation describing Lambda function concurrency and scaling behaviors",{"text":44,"link":45},"Read","https:\u002F\u002Fdocs.aws.amazon.com\u002Flambda\u002Flatest\u002Fdg\u002Flambda-concurrency.html","explore\u002Freinvent2023-svs321","eaovcm2NXcJoFcCCCFQW2jOklHIliBm5GdUY3eEoKsA",1792578863632]