Amazon DynamoDB resources

Amazon DynamoDB is popular due to its flexible billing model and ability to scale without performance degradation. It is a common choice in serverless and high-scale applications. But modeling your data with DynamoDB requires a different approach than modeling in traditional relational databases. Alex DeBrie is an AWS Data Hero, recognized for his work with DynamoDB, and author of The DynamoDB Book, a comprehensive guide to data modeling. 

In Part 1 of this two-part session, see how modeling with DynamoDB is different than a traditional relational database, and learn some foundational elements of data modeling with DynamoDB. 

View 2019 re:Invent session »

Amazon DynamoDB is popular due to its flexible billing model and ability to scale without performance degradation. It is a common choice in serverless and high-scale applications. But modeling your data with DynamoDB requires a different approach than modeling in traditional relational databases. Alex DeBrie is an AWS Data Hero, recognized for his work with DynamoDB, and author of The DynamoDB Book, a comprehensive guide to data modeling. 

In Part 2 of this two-part session, learn more advanced guiding principles, including strategies on how to handle complex, highly relational data models that don’t slow down as your application scales.

View 2019 re:Invent session »

Disney+, one of the largest global online video streaming platforms, was launched in November 2019 as the home of Disney, Pixar, Marvel, Star Wars, and National Geographic. Disney+ delivers its extensive library of digital content directly to the homes of over 60.5 million subscribers, and Amazon DynamoDB is one of the technologies that supports this global footprint. 

The Content Discovery team behind Disney+ uses DynamoDB global tables to scale and deliver popular features such as Continue Watching, Watchlist, and Personalized Recommendations. Hear from Disney+ about its use cases and learnings from using DynamoDB to meet customers’ needs at scale.

Dropbox was experiencing a capacity crunch in its on-premises MySQL metadata store, requiring it to migrate or delete several terabytes of metadata to avoid doubling storage costs. The company rapidly prototyped and migrated cold metadata to a new storage system built using Amazon DynamoDB and Amazon S3—currently storing 300 TBs and growing. 

This storage system leverages the scale and flexibility of DynamoDB and the cost savings of S3. The session’s first half focuses on an architectural review of DynamoDB’s durability, availability, and scale. Dropbox then explains the architecture and scaling mechanisms for its metadata storage system on AWS.

Read case study: Dropbox Saves Millions by Building a Scalable Metadata Store on Amazon DynamoDB and Amazon S3 »

Trustpilot has adopted a serverless mindset. Over the years, the company improved its software architecture by building serverless applications, which includes the important decision of choosing the right database. Today, Amazon DynamoDB is Trustpilot’s first choice when building new applications, but this wasn’t always the case. 

In this session, Trustpilot’s Angela Timofte discusses what the company learned working with DynamoDB in a serverless architecture, misconceptions the team had, and mistakes they made. Angela also provides examples of how to model your data in DynamoDB so you can unlock its full potential. Finally, hear some of Trustpilot’s favorite tips learned throughout the database and serverless journey.

How can organizations deliver dynamic personalized customer interactions? Hear how the platform engineering team at Stitch Fix is transforming customer interactions by delivering a highly concurrent and scalable solution for real-time product recommendations. 

Come away with an understanding of the architectural requirements for leveraging Amazon DynamoDB to optimize near-real-time machine learning workloads to deliver the right user experience.

Every year, AWS Principal Technologist Rick Houlihan leads this technical session dedicated to advanced users of Amazon DynamoDB. He explains design patterns and data models that are based on a collection of implementations and best practices used by a variety of customers to deliver highly scalable solutions for a range of business problems. 

In this first part of a two-part series, Rick discusses and demonstrates important concepts including partition sharding and index overloading, scalable graph processing, and managing distributed locks.

View 2019 re:Invent session »

View 2018 re:Invent session on YouTube »

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.

View 2019 re:Invent session »

View 2018 re:Invent session on YouTube »

Amazon DynamoDB offers an enterprise-ready database that helps you protect your time, your data, and your budget. 

In this session, review key features that help drive the most business impact, such as multi-Region, multi-primary replication with global tables, on-demand capacity mode for spiky workloads, backup and restore (including point-in-time recovery that backs up your table data automatically, down to the second, for the past 35 days), and more.