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AWS

Friday, August 21, 2026 · 8 stories, curated & summarized — click any story for the source.

AWS What's New awsdatabase

ARC Region Switch Adds Automated RDS Oracle Switchover Block

AWS has introduced a new execution block for Amazon Application Recovery Controller (ARC) Region switch, specifically targeting Amazon RDS databases running Oracle Data Guard. This addition automates the manual steps previously required to reverse roles between a primary instance and its read replica during a regional impairment. The feature enables bounded recovery times for multi-region workloads by orchestrating the failover process without human intervention.

  • Automates Oracle Data Guard role reversal in RDS during regional outages
  • Integrates directly with ARC Region switch for end-to-end orchestration
  • Eliminates manual promotion steps, reducing recovery time objectives (RTO)
  • Specifically supports multi-region Oracle workloads on Amazon RDS

Fleet impact: For ExaCC/RAC and Aurora fleets, this confirms AWS is standardizing automation hooks for Oracle Data Guard across managed RDS. Ensure your ARC recovery plans explicitly include this new execution block to achieve consistent RTOs during regional failovers of your Oracle RDS instances.

HOW IT WORKSAutomated RDS Oracle Failover1Regional impairment detected2ARC triggers region switch3Oracle Data Guard role reversal4RDS replica becomes primary5Recovery complete

Amazon EC2 P6-B300 instances are now available in the Asia Pacific (Seoul) Region, offering 8x NVIDIA Blackwell Ultra GPUs with 2.1 TB of high-bandwidth memory. This new instance type delivers 2x networking bandwidth and 1.5x GPU memory compared to the P6-B200, specifically targeting the training and deployment of trillion-parameter foundation models. The configuration includes 6.4 Tbps EFA networking and 300 Gbps dedicated ENA throughput to accelerate token throughput and reduce training times.

  • P6-B300 instances enable training of trillion-parameter FMs with 2.1 TB GPU memory per node.
  • Networking bandwidth doubled and GPU memory increased by 50% over the previous P6-B200 generation.
  • Seoul region availability expands low-latency access to Blackwell Ultra GPUs for APAC-based AI workloads.
  • 6.4 Tbps EFA networking supports high-throughput distributed training for large language models.
THE SHIFTP6-B300 vs P6-B200 Specs1.5xGPU MEMORY1.5xGPU MEMORY1.5x GPU memory compared to P6-B200

AWS Storage Gateway now allows Tape and Volume Gateways to connect to FIPS 140-3 validated endpoints over AWS PrivateLink. Previously, FIPS-compliant traffic was restricted to the public internet, but this update enables secure data transfer entirely within the private AWS network. Users can configure interface VPC endpoints to maintain compliance while leveraging private connectivity for regulated workloads.

  • FIPS 140-3 endpoints are now accessible via AWS PrivateLink for Tape and Volume Gateways.
  • Traffic stays on the private AWS network, reducing exposure compared to public internet access.
  • Configure interface VPC endpoints and select the FIPS option during gateway activation.
  • Simplifies compliance for regulated workloads requiring strict encryption standards.
HOW IT WORKSConfiguring FIPS Private Gateway1Enable interface VPC endpoints2Select FIPS 140-3 option3Activate Tape or Volume Gateway4Verify private network compliance
Hacker News (100+ points) general

AWS Bedrock Codex integration triggers 10x cost spike

Users report that using Codex through AWS Bedrock is generating billing charges approximately ten times higher than expected. This issue is currently being tracked in the OpenAI Codex GitHub repository as a significant anomaly in usage metrics. The discrepancy suggests a potential bug in how token consumption or request handling is calculated within the AWS Bedrock layer.

  • Verify AWS Bedrock billing dashboards for unexpected spikes in Codex usage costs.
  • Check if token counting logic is inflated within the Bedrock integration layer.
  • Monitor GitHub issue #37674 for official patches or workarounds from OpenAI.
  • Implement strict guardrails on Codex sessions to prevent runaway billing events.
  • Audit current LLM API calls to isolate if the issue is specific to Bedrock routing.

Amazon Redshift has added native support for retaining system table data beyond the previous 7-day limit by writing it to Amazon S3 Tables. The service automatically formats this data as Apache Iceberg and handles partitioning, compaction, and retention policies. This eliminates the need for custom ETL pipelines previously required to archive system metrics for auditing and compliance.

  • Native S3 Tables integration removes the need for custom ETL pipelines to archive Redshift system tables.
  • Data is automatically stored in Apache Iceberg format within S3 for long-term retention.
  • Retention limits are no longer capped at 7 days, supporting extended compliance and auditing needs.
  • AWS manages underlying partitioning and compaction, reducing operational overhead for DBAs.
  • Use cases include monitoring query performance history and auditing warehouse activity over time.
THE SHIFTRedshift System Table Retention7 daysPREVIOUS LIMITLong-termNEW LIMITNo longer capped at 7 days

Wiz researchers audited six neocloud providers offering S3-compatible interfaces and found critical security gaps when compared to Amazon S3. Although these services mimic the S3 API, they often omit essential AWS-specific security controls. This discrepancy means that assuming parity in security based solely on API compatibility is a dangerous oversight for teams managing multi-cloud object storage.

  • S3 API compatibility does not imply equivalent security posture.
  • Six neoclouds tested missing key AWS S3 protections.
  • Assume manual security hardening is required for clones.
  • Audit IAM and encryption configs on non-AWS S3 storage.
  • API mimicry is insufficient for security compliance.

Alibaba Cloud is accelerating its move away from Western silicon to boost profitability in its AI infrastructure. With domestic e-commerce growth slowing, AI services represent the company's most reliable revenue stream. This strategic pivot aims to reduce dependency on restricted hardware while maintaining competitive performance for cloud-based AI workloads.

  • Alibaba prioritizes AI cloud services as a key growth driver amid slowing retail sales
  • Reducing reliance on Western chips is central to improving AI infrastructure margins
  • Shift reflects broader industry trend toward localized supply chains for compute resources
  • Focus on cost efficiency suggests aggressive pricing strategies for AI compute capacity

Amazon Timestream for InfluxDB now allows users to specify a symmetric AWS KMS customer managed key for encrypting data at rest. This feature applies to InfluxDB 2 database instances, InfluxDB 2 Read Replicas, and InfluxDB 3 clusters. The selected key must reside in the same AWS account and region as the resource and is immutable after creation.

  • Use AWS KMS customer managed keys for InfluxDB 2 and 3 data at rest encryption
  • Key selection occurs during resource creation via Console, CLI, or API
  • The KMS key must be in the same AWS account and Region as the DB resource
  • Encryption keys cannot be changed after the database resource is created
TRADE-OFFKMS Key ConstraintsAllowed SetupSame AWS accountSame Region as DBProhibited ActionsCross-account keysImmutable after creationvs
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