Alex DeBrie
Employers on the program
- 2021–2025DeBrie Advisory6 talks
- 2020Stedi2 talks
- 2019Serverless, Inc2 talks
The year around now
Talks in the past 12 months and announced talks ahead, one row per conference, January to December. Hover a mark for the talk.
Appearances by year
- AWS re:Invent
Talks
| Date | Event | Conference | Role | Title | Links |
|---|---|---|---|---|---|
| Dec 1, 2025 | AWS re:Invent 2025 | AWS re:Invent | breakout | Advanced data modeling with Amazon DynamoDB as DeBrie Advisory Amazon DynamoDB is a popular choice for modern applications because it’s a serverless database that provides single-digit millisecond performance at any scale.…Show lessAmazon DynamoDB is a popular choice for modern applications because it’s a serverless database that provides single-digit millisecond performance at any scale. Optimizing your usage of DynamoDB requires a different approach to data modeling than traditional relational databases. | Video |
| Dec 1, 2025 | AWS re:Invent 2025 | AWS re:Invent | chalk talk | Evolve Amazon DynamoDB data models with no application impact [REPEAT] as DeBrie Advisory Master advanced techniques for evolving Amazon DynamoDB data models without application interruption. Learn versioning strategies, backward compatibility…Show lessMaster advanced techniques for evolving Amazon DynamoDB data models without application interruption. Learn versioning strategies, backward compatibility patterns, and migration approaches for production applications. | |
| Dec 2, 2024 | AWS re:Invent 2024 | AWS re:Invent | breakout | Advanced data modeling with Amazon DynamoDB as DeBrie Advisory Amazon DynamoDB is a popular choice for modern applications because it’s a serverless database that provides single-digit millisecond performance at any scale.…Show lessAmazon DynamoDB is a popular choice for modern applications because it’s a serverless database that provides single-digit millisecond performance at any scale. Optimizing your usage of DynamoDB requires a different approach to data modeling than traditional relational databases. | Video |
| Nov 27, 2023 | AWS re:Invent 2023 | AWS re:Invent | breakout | Advanced data modeling with Amazon DynamoDB as DeBrie Advisory Amazon DynamoDB is a popular choice for modern applications, as it is a serverless database that provides single-digit millisecond performance at any scale.…Show lessAmazon DynamoDB is a popular choice for modern applications, as it is a serverless database that provides single-digit millisecond performance at any scale. Optimizing your usage of DynamoDB requires a different approach to data modeling than traditional relational databases. | Video |
| Nov 28, 2022 | AWS re:Invent 2022 | AWS re:Invent | breakout | Deploy modern and effective data models with Amazon DynamoDB as DeBrie Advisory Amazon DynamoDB is a fully managed NoSQL database that provides consistent performance at any scale. Customers like Disney+, Zoom, and Snap use DynamoDB to…Show lessAmazon DynamoDB is a fully managed NoSQL database that provides consistent performance at any scale. Customers like Disney+, Zoom, and Snap use DynamoDB to handle some of the largest applications on the planet. | SlidesVideo |
| Nov 29, 2021 | AWS re:Invent 2021 | AWS re:Invent | breakout | Data modeling with Amazon DynamoDB [REPEAT] as Principal & Founder, DeBrie Advisory In this session, learn about Amazon DynamoDB, a fully managed serverless database that provides high performance at any scale with built-in security, backup and…Show lessIn this session, learn about Amazon DynamoDB, a fully managed serverless database that provides high performance at any scale with built-in security, backup and restore, and in-memory caching. Hear from Alex DeBrie, Principal at DeBrie Advisory and AWS Data Hero, about the fundamentals of DynamoDB and how to use it as more than a key-value store. | SlidesVideo |
| Nov 30, 2020 | AWS re:Invent 2020 | AWS re:Invent | breakout | Data modeling with Amazon DynamoDB – Part 1 as Engineer, Stedi 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…Show lessAmazon 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. | SlidesVideo |
| Nov 30, 2020 | AWS re:Invent 2020 | AWS re:Invent | breakout | Data modeling with Amazon DynamoDB – Part 2 as Engineer, Stedi 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…Show lessAmazon 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. | SlidesVideo |
| Dec 2, 2019 | AWS re:Invent 2019 | AWS re:Invent | builders session | [REPEAT 5] Data modeling with Amazon DynamoDB in 60 minutes as Serverless, Inc. Amazon DynamoDB is a nonrelational database that delivers reliable performance at any scale. It’s a fully managed, multiregion, multimaster database that…Show lessAmazon DynamoDB is a nonrelational database that delivers reliable performance at any scale. It’s a fully managed, multiregion, multimaster database that provides consistent single-digit millisecond latency, and it offers built-in security, backup, restore, and in-memory caching. | Slides |
| Dec 2, 2019 | AWS re:Invent 2019 | AWS re:Invent | breakout | Data modeling with Amazon DynamoDB as Serverless, Inc. Modeling your data in the DynamoDB database structure requires a different approach from modeling in traditional relational databases. Alex DeBrie has written a…Show lessModeling your data in the DynamoDB database structure requires a different approach from modeling in traditional relational databases. Alex DeBrie has written a number of applications using DynamoDB and is the creator of DynamoDBGuide.com, a free resource for learning DynamoDB. | SlidesVideo |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Ali Saidi | 7 | — | 2025 |
| David Yanacek | 7 | — | 2025 |
| Dirk Fröhner | 7 | — | 2025 |
| Eric Johnson | 7 | — | 2025 |
| Imaya Kumar Jagannathan | 7 | — | 2025 |
| Jeff Bartley | 7 | — | 2025 |
| Jon Handler | 7 | — | 2025 |
| Jonathan Allen | 7 | — | 2025 |
| Julian Wood | 7 | — | 2025 |
| Kevin Fallis | 7 | — | 2025 |
| Leo Zhadanovsky | 7 | — | 2025 |
| Matt Lehwess | 7 | — | 2025 |
| Mike Stefaniak | 7 | — | 2025 |
| Muthu Pitchaimani | 7 | — | 2025 |
| Neel Sendas | 7 | — | 2025 |
Speakers with the same name are merged into one entry, so this page may combine more than one person. Affiliations are shown as each conference listed them.