Modern cloud applications—especially those using AI/ML—are only as reliable as the data pipelines that power them. When corruption strikes your DynamoDB tables, S3 data stores, or Apache Iceberg analytics engines, traditional recovery methods forces a tradeoff: risk overwriting good data or face costly reconfigurations. Restoring to a new location means recomputing vectors, rebuilding dashboards, and reestablishing integrations across your organization. 

Join us for a technical demo of how Clumio transforms disaster recovery for complex, multi-service AWS applications. We'll walk through a real-world architecture spanning DynamoDB user profiles, Amazon S3-backed vector stores for similarity search, and Apache Iceberg analytics tables. 

You'll see firsthand how Clumio enables:

• Granular, in-place recovery for DynamoDB partitions—restore only corrupted user data without touching other partitions or switching tables
• Point-in-time restoration for S3 data stores and vectors—recover at the prefix level without recomputing embeddings, saving time and compute costs
• Snapshot-level recovery for Apache Iceberg tables—restore analytics data in-place so downstream dashboards require zero reconfiguration

Designed for cloud architects and SREs, this session shows how Clumio's flexible restore options cut recovery time, eliminate manual data patching, and prevent cascading failures. Register now to see how to simplify recovery for your multi-service workloads.