My Favorite New Launches From This Year's AWS re:invent
This year I finally got the chance to attend AWS re:invent in person, and I have enjoyed the experience a great deal. Here are the launches that I found most exciting.
- The most exciting new release for me is Aurora DSQL, a Postgres compatible multi-region strongly consistent database.
    
- DSQL relies on Amazon Time Sync and the clock-bound library to produce reliable timestamps for comparison
 - DSQL uses optimistic concurrency control at commit time to minimize the impact cross region coordination
 - This product is still in preview. Although it is postgres compatible, it’s missing many common features in its current state (doc)
 
 - Apache Iceberg related features:
    
- S3 Table bucket for Iceberg
        
- This new S3 bucket type provides great performance improvement at about 10% higher storage cost than regular S3 bucket. It also provides Iceberg maintenace feature like compactino. The maintenance logic for now is similar to AWS Glue optimization.
 
 - S3 Metadata provides queryable metadata for S3 objects using Iceberg on S3 Tables.
 - AWS Firehose can now replicate data from Aurora source to Iceberg and supports schema evolution.
 - AWS Glue now supports zero-ETL into Iceberg from sources like DynamoDB and Salesforce.
 
 - S3 Table bucket for Iceberg
        
 - I did not spend much time on AI features during this re:invent, but the one I found most interesting is Amazon Bedrock Guardrails, because it uses automated reasoning to help prevent hallucinations from GenAI.