Staying Resilient at Scale: DynamoDB and Keyspaces in the Age of AI Agents
A live conversation on what it takes to recover cleanly at scale, and how teams are using AI agents to see what's actually in their NoSQL data.
Our speakers
You picked your access patterns on day one. You're living with them now.
DynamoDB and Keyspaces are fast because you decide up front exactly how you'll use them. That same decision is the one you can't take back.
You build the table around your access patterns, and that door only swings one way. It's what makes these databases fast, and it's also why the questions that show up later all run straight into a decision you made on day one.
We'll get into why this happens, what good looks like for NoSQL at scale, and how teams are answering those questions with the AWS services they already run, plus a live look at pointing an AI agent at your tables to see what's really in them.
Join us live to learn how to:
- Get a single item or one table back without standing up a whole new one, keep data past the 35-day PITR window, and move it across accounts and regions
- See what native PITR handles for you and what it quietly leaves you to rebuild by hand, from TTL and IAM to auto-scaling and alarms
- Point an AI agent at your DynamoDB and Keyspaces tables to surface what's actually in them: row counts, inferred schema, where the sensitive data lives, and what's not being protected
- Spot tables drifting out of policy and catch anomalies across a large estate, without knowing every access pattern in advance
Stay to the end. We're saving something for the people in the room, and it won't make the recording.