[{"data":1,"prerenderedAt":27},["ShallowReactive",2],{"reinvent2023-COM305":3},{"id":4,"title":5,"categories":6,"contributors":12,"cover":13,"description":14,"extension":15,"meta":16,"path":17,"services":18,"sessionId":22,"skillLevel":23,"stem":24,"type":25,"__hash__":26},"reinvent2023\u002Freinvent2023\u002FCOM305.json","Demystifying and mitigating AWS Lambda cold starts",[7,8,9,10,11],"AWS Community","Open Source","Resilience","DevOps and Developer Productivity","Serverless Compute",null,"\u002Fassets\u002Fimages\u002Freinvent2023\u002FCOM305.jpg","Whether you’re new to AWS Lambda or a serverless expert, you’ve probably heard about cold starts. Maybe they’ve even made you think twice about using Lambda in your architecture. This session dissects the Lambda initialization process at a microscopic level. Examine benchmarks comparing common architectural patterns, and then benchmark various RAM configurations and payload sizes. Next, measure and discuss common mistakes that can increase initialization latency, explore and understand proactive initialization, and learn several strategies you can use to thaw your AWS Lambda cold starts.","json",{},"\u002Freinvent2023\u002FCOM305",[19,20,21],"apigw","lambda","sqs","COM305","300","reinvent2023\u002FCOM305","Breakout Session","PF2lnss00S8MOTvsc6_ryhb62Neqr8JdT-DDn1o8UC0",1792578930813]