AWS re:Invent 2020: Amazon DynamoDB advanced design patterns – Part 2

In this second part of the advanced design patterns for Amazon DynamoDB series, AWS Principal Technologist Rick Houlihan reviews more common patterns for this highly scalable NoSQL database service. He demonstrates how to optimize shard keys to ensure even workload distribution, dives into GSI replication lag, and shows how to support operational analytics with Amazon DynamoDB Streams and AWS Lambda. Rick also shows how AWS AppSync can be used to stand up GraphQL APIs, and he demonstrates the performance benefits of single table design.

Subscribe:

#AWS #AWSEvents

[robineway]

I love the prominent placement of Dire Straits songs in the music catalog at 20:39

[khaledgaber]

Can someone clarify the Shard key optimization donor items demo for me? how does getting the middle key from each of the list in the 100 lists ensure even distribution of keys across 100 partitions?

[LuisRuizHalo]

He speaks as he was commenting an NFL game. Calm down