Cody Allen
Employers on the program
- 2022–2025Amazon Web Services9 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 | chalk talk | Amazon DocumentDB for expert practitioners as AWS As a fully managed database service for native document data model enterprise workloads, Amazon DocumentDB (with MongoDB compatibility) removes the…Show lessAs a fully managed database service for native document data model enterprise workloads, Amazon DocumentDB (with MongoDB compatibility) removes the undifferentiated heavy lifting of operating a database so that you can focus your time on delivering value for your customers. | |
| Dec 1, 2025 | AWS re:Invent 2025 | AWS re:Invent | breakout | Deep dive into Amazon DocumentDB and its innovations as AWS Amazon DocumentDB (with MongoDB compatibility) is a serverless, fully managed, MongoDB API-compatible document database service. In this session, take a deep…Show lessAmazon DocumentDB (with MongoDB compatibility) is a serverless, fully managed, MongoDB API-compatible document database service. In this session, take a deep dive into the most exciting new features Amazon DocumentDB offers including serverless, enhanced compression, performance upgrades, and the latest query APIs. | Video |
| Dec 1, 2025 | AWS re:Invent 2025 | AWS re:Invent | chalk talk | Perform live migrations to Amazon DocumentDB as AWS Migrating mission-critical applications with minimal downtime can be complex and challenging. In this chalk talk, learn how you can plan and implement a live…Show lessMigrating mission-critical applications with minimal downtime can be complex and challenging. In this chalk talk, learn how you can plan and implement a live migration of your document database workloads to Amazon DocumentDB (with MongoDB compatibility) with minimal to no disruption to your operations. | |
| Dec 1, 2025 | AWS re:Invent 2025 | AWS re:Invent | breakout | Supercharge app intelligence using gen AI with Amazon DocumentDB as AWS In this session, explore how you can use the generative AI capabilities of Amazon DocumentDB (with MongoDB compatibility) to make your existing applications…Show lessIn this session, explore how you can use the generative AI capabilities of Amazon DocumentDB (with MongoDB compatibility) to make your existing applications more powerful. See demos showcasing how easily you can implement semantic search, build chatbots, and execute ML predictions within Amazon DocumentDB. | Video |
| Dec 2, 2024 | AWS re:Invent 2024 | AWS re:Invent | chalk talk | Amazon DocumentDB for expert practitioners [REPEAT] as AWS As a fully managed database service for native document data model enterprise workloads, Amazon DocumentDB (with MongoDB compatibility) removes the…Show lessAs a fully managed database service for native document data model enterprise workloads, Amazon DocumentDB (with MongoDB compatibility) removes the undifferentiated heavy lifting of operating a database so that you can focus your time on delivering value for your customers. | |
| Dec 2, 2024 | AWS re:Invent 2024 | AWS re:Invent | breakout | Deep dive into Amazon DocumentDB and its innovations as AWS Amazon DocumentDB (with MongoDB compatibility) is a fully managed native JSON document database that makes it easy and cost-effective to operate critical…Show lessAmazon DocumentDB (with MongoDB compatibility) is a fully managed native JSON document database that makes it easy and cost-effective to operate critical document workloads at virtually any scale without managing infrastructure. | Video |
| Dec 2, 2024 | AWS re:Invent 2024 | AWS re:Invent | breakout | Supercharge app intelligence using gen AI with Amazon DocumentDB as AWS In this session, explore how you can use the generative AI capabilities of Amazon DocumentDB (with MongoDB compatibility) to make your existing applications…Show lessIn this session, explore how you can use the generative AI capabilities of Amazon DocumentDB (with MongoDB compatibility) to make your existing applications more powerful. See demos showcasing how easily you can implement semantic search, build chatbots, and execute ML predictions within Amazon DocumentDB. | Video |
| Nov 27, 2023 | AWS re:Invent 2023 | AWS re:Invent | workshop | Data modeling in Amazon DocumentDB (with MongoDB compatibility) In this workshop, learn data modeling concepts, best practices, and how to use Performance Insights to fine-tune your applications running on Amazon DocumentDB. | |
| Nov 27, 2023 | AWS re:Invent 2023 | AWS re:Invent | chalk talk | Perform live migrations to Amazon DocumentDBMigrating mission-critical applications with minimal downtime can be complex and challenging. In this chalk talk, learn how you can plan and implement a live…Show lessMigrating mission-critical applications with minimal downtime can be complex and challenging. In this chalk talk, learn how you can plan and implement a live migration of your document database workloads to Amazon DocumentDB (with MongoDB compatibility) with minimal to no disruption to your operations. | |
| Nov 28, 2022 | AWS re:Invent 2022 | AWS re:Invent | chalk talk | Best practices for migrating to Amazon DocumentDB as AWS As a fully-managed enterprise database service, Amazon DocumentDB (with MongoDB compatibility) removes the undifferentiated heavy lifting of operating a…Show lessAs a fully-managed enterprise database service, Amazon DocumentDB (with MongoDB compatibility) removes the undifferentiated heavy lifting of operating a database so that you can focus your time on delivering value for your customers. In this chalk talk, learn about Amazon DocumentDB architecture and various tools, approaches, and best practices that can be used to successfully migrate from... | Slides |
| Nov 28, 2022 | AWS re:Invent 2022 | AWS re:Invent | chalk talk | Data modeling best practices with Amazon DocumentDB as AWS For many modern applications, such as ecommerce, content management systems, and profile management, the traditional relational data model can become cumbersome…Show lessFor many modern applications, such as ecommerce, content management systems, and profile management, the traditional relational data model can become cumbersome and rigid. The JSON document data model provides the flexibility, increased performance, and agility needed to keep pace with the demands of these use cases. | Slides |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Douglas Bonser | 4 | 8 | 2025 |
| Aaron Sempf | 4 | — | 2025 |
| Abbas Mooraj | 4 | — | 2025 |
| Abhishek Srivastav | 4 | — | 2025 |
| Adam Hill | 4 | — | 2025 |
| Aditya Samant | 4 | — | 2025 |
| Adnan Bilwani | 4 | — | 2025 |
| Ahuva Hazan-Fuchs | 4 | — | 2025 |
| Alan Halachmi | 4 | — | 2025 |
| Alex DeBrie | 4 | — | 2025 |
| Alexander Dragunov | 4 | — | 2025 |
| Alexandra Huides | 4 | — | 2025 |
| Alexis Marcou | 4 | — | 2025 |
| Ali Alemi | 4 | — | 2025 |
| Ali Saidi | 4 | — | 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.