AI BriefingAWS Weekly Roundup: AgentCore Runtime V2, S3 Tables Hive Migration, and DynamoDB Bulk Put
·2026.11.10 02:55
Key point
The new runtime uses snapshots to keep cold starts at 2 seconds for images up to 2 GB, while S3 Tables now migrates Hive data to Iceberg in three steps.
Details
- Amazon Bedrock AgentCore Runtime V2 reduces P75 cold starts to approximately 2 seconds for container images between 200 MB and 2 GB, compared to 5.4 to 30 seconds for the original runtime.
- Amazon S3 Tables introduces managed migration for Apache Hive tables to Apache Iceberg, allowing production workloads to remain writable until cutover with no charge for the conversion.
- Amazon DynamoDB supports bulk put items from S3, enabling asynchronous loading of line-delimited JSON or Amazon Ion files into existing tables with dedicated system capacity.
- AWS Interconnect launches a last-mile preview with Equinix, offering 1 Gbps private connections at no charge in San Jose and Northern Virginia with a 99.99% availability SLA.
AgentCore Runtime V2
- Memory management pages in on demand and releases memory when sessions go cold, reducing costs for idle agents.
- Opt-in requires setting platformVersion to V2; containers must report healthy on /ping within 120 seconds.
- Available in 10 Regions, with committed baseline pricing expected soon.
Data and Networking Updates
- S3 Tables migration validates sources and produces compatibility reports, supporting queries via Amazon Athena or any Iceberg REST API engine.
- DynamoDB bulk loads use an Accelerated tier for deadline-bound jobs, with illustrative times under 1 hour for 100 million 1 KB items.
- AWS Interconnect provides quad-redundant capacity with BGP and VLANs configured by AWS, using MACsec by default.
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