AWS re:Invent 2018: Fannie Mae Processes over a Quarter Million Loans per Day w/ Amazon S3 (WPS305)
Published on Nov 28, 2018
In this session, Fannie Mae discusses how they completely re-architected a mission-critical application using AWS native services that process hundreds of thousands of mortgage loans every day in a highly scalable and reliable manner. The transaction-heavy workload uses over 20+ million Amazon S3 transactions a day, each within 150-millisecond response times, thus providing increased uptime and faster response. Complete Title: AWS re:Invent 2018: How Fannie Mae Processes over a Quarter Million Loans per Day with Amazon S3 (WPS305)
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AWS re:Invent 2018: [NEW LAUNCH!] S3 Batch Operations: Managing Objects in Amazon S3 at Scale STG212
59:13
58:40
AWS re:Invent 2018: Fannie Mae Processes over a Quarter Million Loans per Day w/ Amazon S3 (WPS305)
58:40
19:11
AWS re:Invent 2018: How to Move Data to Amazon S3 and Access It On-Premises (DEM103)
19:11