[{"data":1,"prerenderedAt":52},["ShallowReactive",2],{"workflow-sagemaker-endpoint-maintainer":3},{"id":4,"title":5,"cleanup":6,"contributors":10,"deploy":12,"description":15,"diagram":16,"extension":17,"framework":18,"gitHub":19,"introBox":28,"level":32,"meta":33,"resources":34,"s3URL":37,"services":38,"simplicity":43,"stem":44,"testing":45,"type":49,"usecase":50,"videoId":27,"__hash__":51},"workflows\u002Fworkflows\u002Fsagemaker-endpoint-maintainer.json","Sagemaker endpoint maintainer",{"headline":7,"text":8},"Cleanup",[9],"1. Delete the stack: \u003Ccode>cdk destroy\u003C\u002Fcode>.",[11],"content\u002Fcontributors\u002Fdarius-seroka.json",{"text":13},[14],"cdk deploy","This workflow showcases cleanup of idle Sagemaker Inference Endpoints receiving no requests.","\u002Fassets\u002Fimages\u002Fworkflows\u002Fsagemaker-endpoint-maintainer.png","json","AWS CDK",{"template":20,"payloads":25},{"repoURL":21,"templateDir":22,"templateFile":23,"ASL":24},"https:\u002F\u002Fgithub.com\u002Faws-samples\u002Fstep-functions-workflows-collection\u002Ftree\u002Fmain\u002Fsagemaker-endpoint-maintainer\u002F","sagemaker-endpoint-maintainer","lib\u002Fsagemaker_endpoint_maintainer-stack.ts","statemachine\u002Fstatemachine.asl.json",[26],{"headline":27,"payloadURL":27},"",{"headline":29,"text":30},"How it works",[31],"Step Functions automates Realtime Inference Endpoint cleanup, identifying and optimizing underutilized resources for efficient, cost-effective data science workflows. ","200",{},{"headline":35,"bullets":36},"Additional resources",[],null,[39,40,41,42],"eventbridge","cloudwatch","sfn","sagemaker","3 - Application","workflows\u002Fsagemaker-endpoint-maintainer",{"headline":46,"text":47},"Testing",[48],"See the GitHub repo for detailed testing instructions.","Standard","Automation","KS1WO7EeN2IzE-GTuRDxa3Xg4eAEP8_SmVFoSVcNEiI",1778846889465]