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AWS

Saturday, July 25, 2026 · 8 stories, curated & summarized — click any story for the source.

AWS Database Blog awsdatabase ↺ since 07-22

AWS RDS AI forensic analysis turns hours of investigation into seconds

AWS has introduced a serverless method for continuous forensic artifact collection on Amazon RDS and Aurora databases. The system captures point-in-time snapshots of database internals at regular intervals and stores them in Amazon S3. This creates a time-series dataset that enables AI tools to analyze incidents instantly, replacing manual investigation workflows.

  • Automated forensic collection runs serverlessly, reducing operational overhead for DBA teams.
  • Continuous snapshots stored in S3 provide a historical record for rapid AI-based analysis.
  • Incident investigation time drops from hours to seconds via conversational AI interfaces.
  • Applies to both Amazon RDS and Amazon Aurora database engines.
AWS Database Blog awsdatabase ↺ since 07-22

Nubank migrates mission-critical payments to Aurora PostgreSQL with 1,900x gains

Nubank replaced self-managed PostgreSQL with Amazon Aurora PostgreSQL-Compatible Edition to address scale and operational challenges in its payment infrastructure. The migration involved rigorous evaluation criteria and resulted in significant performance improvements, including up to 1,900x faster query execution in specific scenarios. This case highlights the operational efficiency and scalability benefits of managed database services for high-throughput financial systems.

  • Managed services can drastically reduce operational overhead for high-scale payment systems.
  • Aurora PostgreSQL-Compatible Edition delivered up to 1,900x query performance improvements for Nubank.
  • Self-managed PostgreSQL at scale introduces unique performance and efficiency challenges.
  • Structured evaluation criteria are essential when selecting database solutions for mission-critical workloads.
AWS What's New awsdatabase ↺ since 07-24

AWS expands G7e SageMaker inference to Seoul, London, Tokyo

Amazon SageMaker AI inference now supports G7e instances in Asia Pacific (Seoul and Tokyo) and Europe (London). These instances utilize up to eight NVIDIA RTX PRO 6000 Blackwell GPUs, delivering 2.3x performance gains over G6e. The expansion allows for lower-latency deployment of large language models up to 70B parameters closer to end users in these regions.

  • G7e instances are now live in Seoul, London, and Tokyo for lower-latency AI inference.
  • Performance increases by up to 2.3x compared to previous-generation G6e instances.
  • Supports models up to 70B parameters with up to 768 GB total GPU memory per instance.
  • Features 5th Gen Intel Xeon CPUs and 1,600 Gbps EFA networking for high throughput.
BY THE NUMBERS2.3x Performance Gain2.3xPerformance over G6e instancesG7e uses RTX PRO 6000 Blackwell GPUs
AWS What's New awsdatabase ↺ since 07-23

AWS NLB adds listener rules for source IP-based traffic routing

AWS Network Load Balancer now supports listener rules that route connections to different target groups based on the source IP address type. A single dual-stack NLB can direct IPv6 client traffic to IPv6 targets and IPv4 traffic to IPv4 targets, preserving the original client IP end-to-end. This eliminates the previous trade-off of maintaining separate load balancers or losing client IP information through protocol translation.

  • Route IPv6 and IPv4 traffic to same-family target groups on a single dual-stack NLB
  • Preserve original client IP address end-to-end without protocol translation
  • Remove need for DNS-based client splitting across separate load balancers
  • Simplify architecture by handling conditional routing at Layer 3
TRADE-OFFNLB Architecture SimplifiedOld ApproachSeparate load balancers for IPv4…Complex DNS-based client…Loss of original client IP dataNew ApproachSingle dual-stack NLB handles bothListener rules route by source…Preserves original client…vs

Amazon ECS Service Connect now prioritizes service-to-service traffic within the same Availability Zone, reducing both data transfer fees and latency. The feature dynamically adjusts traffic weights as endpoints scale, maintaining balanced loads while keeping local requests local. This eliminates the previous trade-off between application resilience and cross-zone networking costs.

  • Reduces cross-AZ data transfer costs by keeping intra-service traffic local to the originating AZ.
  • Lowers latency for service-to-service calls through same-AZ routing prioritization.
  • Dynamically adjusts traffic weights during scaling events to maintain load balance.
  • Removes the need to choose between high availability and network cost efficiency.
TRADE-OFFBefore and After Service ConnectPrevious ApproachCross-AZ data transfer costsHigher network latencyCost-resilience trade-offWith Service ConnectIntra-AZ traffic prioritizationLower latency callsBalanced load and costvs

Amazon EC2 I8ge instances are now generally available in Europe (London) and Canada (Central). Powered by AWS Graviton4 processors, these storage-optimized instances deliver up to 60% better compute performance than Graviton2-based Im4gn instances. They also provide up to 55% better real-time storage performance per TB and significantly lower I/O latency.

  • I8ge instances launch in EU (London) and Canada (Central) regions today.
  • Graviton4 processors offer 60% compute performance gains over Graviton2.
  • Third-gen Nitro SSDs improve storage performance by 55% per TB vs Im4gn.
  • Local NVMe storage scales up to 120TB with reduced I/O latency variability.
  • Ideal for latency-sensitive workloads requiring rapid local storage access.
COMPARISONGraviton4 Performance GainsCompute Perf60%Storage Perf55%
AWS What's New awsdatabase

AWS expands EC2 C7a instances to US West (N. California)

Amazon EC2 C7a instances are now available in the US West (N. California) region, offering compute-optimized performance powered by 4th Gen AMD EPYC processors. These instances deliver up to 50% higher performance than C6a, featuring AVX-512, VNNI, and bfloat16 capabilities alongside DDR5 memory for increased bandwidth. With support for up to 128 EBS volumes per instance, C7a is designed for latency-sensitive workloads requiring high-speed data access.

  • C7a instances launch in US West (N. California), expanding regional availability.
  • Performance up 50% over C6a using 4th Gen AMD EPYC Genoa processors.
  • DDR5 memory provides 2.25x bandwidth for latency-sensitive workloads.
  • Supports AVX-512, VNNI, and bfloat16 for advanced compute tasks.
  • Capacity to attach up to 128 EBS volumes per instance increases flexibility.
BY THE NUMBERSC7a Performance Boost50%Higher performance than C6aPowered by 4th Gen AMD EPYC processors
AWS What's New awsdatabase

AWS Launches EC2 M8a Instances in Hyderabad Region

Amazon EC2 M8a instances, powered by 5th Gen AMD EPYC processors, are now available in the Asia Pacific (Hyderabad) region. These instances offer up to 30% higher performance and 19% better price-performance than M7a, with 45% more memory bandwidth for latency-sensitive workloads. Specific benchmarks show up to 60% faster GroovyJVM and 39% faster Cassandra performance compared to previous generations.

  • M8a instances use 5th Gen AMD EPYC (Turin) CPUs with 4.5 GHz max frequency.
  • Up to 30% higher performance and 19% better price-performance vs M7a.
  • 45% more memory bandwidth improves latency-sensitive workload handling.
  • SAP-certified with 12 sizes, including 2 bare metal options.
COMPARISONM8a Performance GainsPrice-Performance19%Overall Performance30%Memory Bandwidth45%