[{"data":1,"prerenderedAt":37},["ShallowReactive",2],{"repo-blog-serverless-reliable-messaging":3},{"id":4,"title":5,"contributors":6,"date":8,"description":9,"diagram":10,"extension":11,"framework":12,"gitHub":14,"introBox":17,"language":21,"meta":23,"resources":24,"services":25,"simplicity":32,"stem":33,"type":34,"usecase":35,"__hash__":36},"repos\u002Frepos\u002Fblog-serverless-reliable-messaging.json","Serverless Reliable Messaging",[7],"content\u002Fcontributors\u002Fjeff-harman.json","2024-03-08","Building a Serverless Pipeline to Deliver Reliable Messaging.","\u002Fassets\u002Fimages\u002Frepos\u002Fblog-serverless-reliable-messaging.png","json",[13],"AWS SAM",{"template":15},{"repoURL":16},"https:\u002F\u002Fgithub.com\u002Faws-samples\u002Fblog-serverless-reliable-messaging",{"headline":18,"text":19},"Building a Serverless Pipeline to Deliver Reliable Messaging",[20],"Many industries are required to provide audit trails for decision and transactional systems. AI assisted decision making requires monitoring the full inputs to the decision system in near real time to prevent fraud, detect model drift, and discrimination. Modern systems often use a much wider array of inputs for decision making, including images, unstructured text, historical values, and other large data elements. These large data elements pose a challenge to traditional audit systems that deal with relatively small text messages in structured formats. This repository demonstrated the use of serverless technology to create a reliable, performant, traceable, and durable pipeline for audit processing.",[22],"Python",{},null,[26,27,28,29,30,31],"dynamodb","lambda-event-functions","s3","sfn","sns","sqs","300","repos\u002Fblog-serverless-reliable-messaging","Application","Backend","KxbjLAdrgB7_blFoc0sPciF7aYH_1Jwp2wyu5m9blPc",1792665263539]