Cloud-based Automation Improves Data Quality and Time Savings

Utilizing our client’s reference application architecture within AWS, our joint team deployed a serverless application within a new AWS Account. We built an Angular application served via S3 and CloudFront using AWS Edge functions for authentication redirects to AWS Cognito and SPA router deep-linking. We deployed AWS Lambda functions, an OpenAPI 3 specification file with Amazon extensions and dozens of VTL mapping templates to integrate with DynamoDB to serve the API backend. We utilized a CQRS architecture model with a separate event-logging database in DynamoDB. From there, we utilized DynamoDB streams to build view models in a separate DynamoDB table to serve the read only endpoints of the application API. This provides the fastest possible writes using versioning to support optimistic concurrency and event sourcing for fast iteration on data models, as demanded by the client. It also provided real-time report generation. We utilized AWS CloudWatch for monitoring and integrating Bitbucket with AWS CodePipeline to build, deploy and test the application using AWS CodeBuild, AWS CodeDeploy, S3 and AWS CloudFormation. Finally, we used AWS CloudFormation to enable the team to quickly deploy feature environments for experimentation, A/B testing and development environments.