AWS goes all the way with Ellie Mae
Ellie Mae is moving its infrastructure to Amazon Web Services’ (AWS) cloud to rebuild its core applications and create new digital products for homebuyers.
Ellie Mae built a company-wide data lake on AWS
The firm will use the “breadth and depth” of AWS services, including compute, storage, database, serverless, and containers, for the loan process for its customers and partners.
Ellie Mae built a company-wide data lake on AWS using Amazon Simple Storage Service (Amazon S3) for digital lending.
Satheesh Ravala, SVP, cloud engineering and operations at Ellie Mae, says: “AWS gives us an unmatched set of cloud services and a highly reliable infrastructure to work with.”
The company uses AWS Lambda to run code without provisioning or managing servers, Elastic Container Service for Containers to develop micro services, and Amazon Simple Queue Service (Amazon SQS) to decouple and scale microservices, distributed systems, and serverless applications on AWS.
AWS states that it offers over 125 services for compute, storage, databases, networking, analytics, machine learning and artificial intelligence (AI), internet of things (IoT), mobile, security, hybrid, virtual and augmented reality (VR and AR), media, and application development, deployment, and management within 19 regions around the world.
These include the US, Australia, Brazil, Canada, China, France, Germany, India, Ireland, Japan, Korea, Singapore, and the UK.
