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AWS

Sunday, August 02, 2026 · 8 stories, curated & summarized — click any story for the source.

AWS What's New awsdatabase

AWS Managed AD Standard to Enterprise Upgrade Now Supported

AWS Directory Service now allows in-place upgrades from Standard to Enterprise Edition for AWS Managed Microsoft AD. This console, CLI, and API-enabled feature eliminates the need to migrate directories or re-join workloads when outgrowing the 5,000 user limit of Standard Edition. Enterprise Edition supports up to 500,000 objects while preserving existing trust relationships, group policies, and DNS configurations.

  • Upgrade in-place directly via Console, CLI, or API without migrating directories.
  • Preserves existing trust relationships, app integrations, and group policies.
  • No DNS changes or workload re-joins required during the transition.
  • Scale from 5,000 to 500,000 objects by moving to Enterprise Edition.
  • Available in all regions where AWS Directory Service is supported.
THE SHIFTScaling Up User Limits5,000STANDARD LIMIT500,000ENTERPRISE LIMITIn-place upgrade preserves configurations

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 multi-Region cluster provides writable endpoints in both peered Regions, presenting a single logical database that remains available even if one Region becomes unavailable.

  • Aurora DSQL multi-Region clusters now cover four additional AWS Regions for broader global coverage.
  • Active-active architecture ensures strong consistency and availability across peered Regions.
  • Single logical database with writable endpoints in both Regions simplifies multi-Region deployments.
  • Serverless design eliminates operational overhead while maintaining high performance.
HOW IT WORKSMulti-Region Data Flow1User writes to local endpoint2Data syncs across Regions3Strong consistency maintained4Active-active availability ensured

Amazon Redshift Data API now supports long polling, allowing clients to wait for SQL statement completion before receiving a response, which reduces the need for repeated polling calls. It also introduces ListSessions to enumerate and filter active sessions by status or compute target, improving visibility for application-level session reuse. Additionally, batch execute statements can now run on separate transactions, offering greater flexibility in transactional control.

  • Use WaitTimeSeconds in API calls to eliminate busy-wait loops for SQL completion.
  • Enumerate and filter active sessions via ListSessions for better operational visibility.
  • Execute batch statements on separate transactions for finer-grained control.
  • Reduces API call volume and latency for asynchronous SQL execution workflows.
CHECKLISTMaximize Redshift Data API EfficiencyUse WaitTimeSeconds to eliminate busy-wait loopsEnumerate active sessions via ListSessionsFilter sessions by status or compute targetRun batch statements on separate transactions
AWS What's New awsdatabase ↺ since 07-30

AWS Interconnect with OCI reaches general availability

AWS has moved AWS Interconnect for Oracle Cloud Infrastructure to general availability, offering a purpose-built solution for multicloud connectivity. This service replaces complex, do-it-yourself global multi-layered networking setups with a managed approach to interconnect workloads across both clouds. The launch supports customer strategies focused on interoperability, technology selection freedom, and faster application deployment across environments.

  • Managed connectivity eliminates the complexity of building DIY global multi-layered networks.
  • Enables seamless workload interconnection between AWS and Oracle Cloud Infrastructure.
  • Supports multicloud strategies requiring interoperability and technology flexibility.
  • Reduces operational overhead for cross-cloud application deployment and speed.
CHECKLISTInterconnect Key BenefitsEliminates DIY global multi-layered network complexityEnables seamless workload interconnection across cloudsSupports multicloud interoperability strategiesReduces cross-cloud operational overhead
AWS What's New awsdatabase ↺ since 07-31

Amazon OpenSearch Service adds version 3.7 with vector optimizations

Amazon OpenSearch Service now supports version 3.7, bringing enhanced vector search performance and better search relevance capabilities. Key technical improvements include 1-bit scalar quantization on Faiss and Lucene engines to reduce storage and memory usage for vectors without sacrificing accuracy. Operators can also retrieve vectors faster using doc values without requiring reindexing, while new Query Insights and Search Relevance Workbench tools aid in performance monitoring and optimization.

  • OpenSearch 3.7 is now available on Amazon OpenSearch Service.
  • 1-bit scalar quantization reduces vector storage and memory usage.
  • Vector retrieval uses doc values, eliminating the need for reindexing.
  • Search Relevance Workbench adds CSV uploads and hybrid search metrics.
  • New Query Insights provide automated recommendations and query caching.
CHECKLISTOpenSearch 3.7 key updates1-bit scalar quantization cuts storageDoc values speed up retrievalNo reindexing required for vectorsQuery Insights offer automated tipsSearch Relevance Workbench adds CSV
AWS Database Blog awsdatabase ↺ since 07-29

AWS Aurora DSQL guidance: Schema, indexing, and multi-Region ACID design

The AWS Database Blog outlines practical patterns for scaling applications on the distributed Amazon Aurora DSQL architecture. It details how to avoid scalability bottlenecks through careful primary key selection, schema design, and indexing strategies. The guidance emphasizes maintaining full ACID compliance while optimizing for multi-Region deployments.

  • Focus on primary key selection and schema design to distribute workload efficiently across shards.
  • Apply specific indexing strategies tailored to Aurora DSQL's distributed nature to reduce latency.
  • Implement transaction strategies that preserve ACID compliance across multiple AWS Regions.
  • Identify common architectural patterns that limit scalability and replace them with distributed alternatives.
AWS What's New awsdatabase ↺ since 08-01

Amazon RDS for Oracle Reserved Instances now support R8i and M8i

AWS has extended Reserved Instance coverage to R8i and M8i instance families for Amazon RDS for Oracle, offering 1-year and 3-year terms. These new instances, built on custom Intel Xeon 6 processors, provide up to 53% cost savings compared to On-Demand pricing and deliver superior memory bandwidth. The Reserved Instance discount applies to both Single-AZ and Multi-AZ configurations, allowing flexibility for varying workload demands.

  • R8i and M8i instances now eligible for Reserved Instances, saving up to 53% vs On-Demand.
  • Custom Intel Xeon 6 chips deliver 2.5x memory bandwidth and 15% better price-performance.
  • Reservations apply to both Single-AZ and Multi-AZ, enabling config flexibility.
  • Supports 1-year and 3-year commitment terms for Oracle database workloads.

Fleet impact: Evaluate R8i/M8i migration for Oracle workloads requiring high memory bandwidth to leverage the 2.5x improvement and significant cost reduction. Ensure Reserved Instance purchases cover both Single-AZ and Multi-AZ needs to maintain architectural flexibility without losing discount benefits.

BY THE NUMBERSUp to 53% Cost Savings53%Savings vs On-Demand PricingR8i and M8i Oracle Reserved Instances
AWS What's New awsdatabase ↺ since 07-29

AWS EKS Provisioned Control Plane boosts HPA sync concurrency 40x

Amazon EKS has increased the Horizontal Pod Autoscaler (HPA) sync concurrency on Provisioned Control Plane clusters to up to 40 times the default Kubernetes limit. This enhancement allows the control plane to evaluate multiple HPA objects in parallel, significantly reducing the latency between detecting load changes and scaling pod counts. The update specifically targets clusters managing hundreds or thousands of autoscaling objects to improve responsiveness to demand spikes.

  • HPA sync concurrency is now up to 40x the default Kubernetes value on Provisioned Control Planes.
  • Parallel evaluation of HPA objects reduces the time required to scale pods in response to load.
  • Clusters with hundreds or thousands of HPA objects will see the most significant latency improvements.
  • No configuration changes are mentioned; this appears to be a backend control plane optimization.
BY THE NUMBERSAWS EKS HPA Concurrency Boost40xIncreased HPA sync concurrencyProvisioned Control Plane parallel evaluation