AWS has enabled Amazon S3 Vectors in the European Sovereign Cloud (Germany) region. This service provides purpose-built vector storage for AI agents, RAG, and semantic search at billion-vector scale. It offers S3-level elasticity and durability with dedicated APIs, requiring no infrastructure provisioning.
S3 Vectors is now live in the AWS European Sovereign Cloud (Germany).
Supports billion-vector scale for AI agents, RAG, and semantic search.
Provides S3-grade durability with dedicated APIs and no provisioning.
Enables sovereign data residency for vector workloads in Germany.
Amazon EMR on EC2 now supports interactive Apache Spark sessions via Spark Connect, enabling data engineers to develop and debug applications directly from SageMaker Unified Studio, Jupyter, and VS Code. This feature introduces a persistent Spark context that spans multiple cells and scripts, allowing users to blend local Python execution with remote Spark operations. The underlying client-server architecture decouples the application client from the Spark driver, ensuring teams can retain their preferred local tooling while leveraging managed EMR clusters.
Interactive Spark sessions persist across cells and scripts for seamless debugging.
Client-server architecture decouples local IDEs from remote Spark drivers.
Native integration with SageMaker Unified Studio, Jupyter, and VS Code.
Active and completed sessions are monitorable via the EMR console.
Amazon RDS for SQL Server now supports Bring Your Own Media in ten additional commercial regions, including parts of Asia Pacific, Europe, and Mexico. This feature allows organizations to reuse existing Microsoft SQL Server licenses with active Software Assurance via the License Mobility program. Support covers SQL Server versions 2019, 2022, and 2025, with license tracking integrated into AWS License Manager for compliance.
BYOM is now available in Asia Pacific, Europe, and Mexico regions for RDS SQL Server.
Enables license reuse for SQL Server 2019, 2022, and 2025 with active Software Assurance.
Integrated with AWS License Manager to track usage and ensure compliance.
Expands flexibility for existing Microsoft customers migrating to managed AWS databases.
Amazon RDS for SQL Server now supports publishing native SQL Server Audit logs directly to CloudWatch Logs, in addition to the existing S3 option. This allows DBAs to perform real-time analysis of database engine events using CloudWatch metrics and alarms. When both S3 and CloudWatch are enabled, the system ensures logs are successfully uploaded to both destinations before marking the publication as completed.
Publish SQL Server Audit logs to CloudWatch for real-time monitoring and alerting.
Supports dual publication to S3 and CloudWatch with completion validation.
Use CloudWatch Logs Insights to query audit data alongside other AWS logs.
Maintain compliance by retaining logs on the DB instance via retention settings.
Fleet impact: For RDS SQL Server, this enables real-time alerting on sensitive database events via CloudWatch Alarms, reducing reliance on batch S3 processing. Ensure your CloudWatch Logs retention policies align with compliance requirements and monitor log ingestion costs if audit volume is high.
Amazon Keyspaces now supports user-defined types and Protocol Buffers to handle structured data beyond simple key-value pairs. The new guidance details how to create UDTs and implement Protobuf serialization within the managed Cassandra-compatible service. This enables engineers to model complex nested structures directly in the database layer.
Keyspaces now supports UDTs for defining nested structures natively in CQL schema.
Protocol Buffers are supported for efficient binary serialization of complex objects.
Choose UDTs for schema-enforced structure or Protobufs for flexible, versioned payloads.
Use case guidance helps balance storage efficiency against query complexity.
AMD's recent financial results underscore the dangers of relying on a narrow set of vendors for AI infrastructure. The company is introducing Helios racks and Venice Epycs as potential alternatives to Nvidia's market dominance. However, this competitive shift remains contingent on the broader AI market avoiding a significant downturn or bubble burst.
Over-reliance on few AI hardware vendors creates significant supply chain vulnerability.
AMD's new Helios racks and Venice Epycs aim to directly challenge Nvidia's market position.
Competitive dynamics in AI hardware are highly sensitive to broader market stability.
Vendors must balance aggressive expansion with realistic demand projections to avoid market correction risks.
Amazon Aurora DSQL now supports multi-Region clusters in Europe (Stockholm), Europe (Spain), Asia Pacific (Mumbai), and Asia Pacific (Singapore). This serverless distributed SQL database offers active-active high availability and multi-Region strong consistency. Each cluster provides writable endpoints in both peered regions, ensuring a single logical database remains available during regional outages.
Aurora DSQL multi-Region support now covers Stockholm, Spain, Mumbai, and Singapore
Active-active architecture ensures strong consistency across peered regions
Writable endpoints in both regions maintain availability during regional failures
Expands the global footprint beyond US and existing APAC/Canada regions
Amazon CloudWatch Database Insights introduces a calling services feature that identifies which applications are issuing queries to your databases. This capability allows engineers to view specific performance metrics for each caller, enabling rapid root cause analysis. The goal is to reduce troubleshooting time from hours to minutes by pinpointing the exact application responsible for database latency or errors.
Identify specific applications calling your database to isolate performance issues.
View granular query metrics per service to speed up root cause analysis.
Reduce mean time to resolution by contacting the correct engineering team immediately.
Leverage AWS-native tracing to bridge the gap between app and DB teams.
