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AWS

Sunday, October 11, 2026 · 5 stories, curated & summarized — click any story for the source.

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InfoQ generaldevops

AWS Enhances EventBridge Custom Buses with Ordering and Deduplication

Amazon EventBridge now supports enhanced custom event buses that enable centralized bus sharing across multiple AWS accounts. The update introduces ordered delivery, simplified subscriber management, event replay capabilities, and content-based deduplication to improve data reliability. Additionally, AWS has shifted to a new publisher/subscriber-based pricing model for these resources.

  • Cross-account bus sharing is now supported for centralized event architecture.
  • Ordered delivery ensures strict sequencing of events within the bus.
  • Content-based deduplication reduces redundant event processing overhead.
  • Event replay allows reprocessing of historical events for debugging or recovery.
  • Pricing model has changed to a publisher/subscriber structure.
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AWS What's New awsdatabase

AWS Expands R8gd Graviton4 Instances to German Sovereign Cloud

Amazon EC2 R8gd instances are now available in the AWS European Sovereign Cloud (Germany) region. Powered by Graviton4 processors, these instances deliver up to 30% better performance than Graviton3 while offering up to 11.4 TB of local NVMe storage. The fleet supports 12 instance sizes with up to 50 Gbps network bandwidth and adjustable EBS throughput via bandwidth weighting.

  • R8gd instances are now live in AWS European Sovereign Cloud (Germany).
  • Graviton4 processors provide up to 30% performance gain over Graviton3.
  • Up to 11.4 TB local NVMe storage suits low-latency, high-IOPS workloads.
  • Network bandwidth scales up to 50 Gbps with 25% adjustable EBS weighting.
THE SHIFTGraviton4 Performance LeapGraviton3PREVIOUS GEN30%PERFORMANCE GAINUp to 30% better than Graviton3
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AWS What's New awsdatabase

AWS Cost Explorer and Budgets now support Amazon Bedrock product attributes

AWS has added a new dimension to Cost Explorer, Budgets, and Dashboards to analyze Amazon Bedrock costs by specific product attributes. This update allows teams to group and filter expenses by model, provider, inference type, and feature. Finance and platform engineers can now directly identify which models and workloads drive spending using existing billing tools.

  • Filter Bedrock costs by model (e.g., Claude Sonnet 5) and provider (e.g., Anthropic, Cohere).
  • Break down spend by inference type such as input tokens, output tokens, or reranker features.
  • Apply new attribute filters directly in AWS Budgets for precise cost monitoring.
  • Enable platform teams to attribute AI workload costs to specific model choices and providers.
CHECKLISTGranular Bedrock Cost FilteringFilter costs by model and providerBreak down spend by inference typeApply filters in AWS BudgetsAttribute AI costs to model choices
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AWS What's New awsdatabase ↺ since 10-10

GuardDuty RDS Protection detects data exfiltration in Aurora and RDS PostgreSQL

Amazon GuardDuty has expanded RDS Protection to detect data exfiltration and destruction attacks on Aurora PostgreSQL and RDS for PostgreSQL. The new data activity capability uses machine learning and threat intelligence to monitor query patterns for anomalies. It operates without agents or configuration changes, addressing risks from compromised credentials.

  • Covers data exfiltration and destruction, not just login anomalies.
  • No agents or config changes required for deployment.
  • Uses ML and threat intel to flag unusual query patterns.
  • Protects Aurora PostgreSQL and RDS for PostgreSQL instances.
  • Mitigates risk from valid credentials obtained via phishing.
HOW IT WORKSGuardDuty Detection Pipeline1Monitor query patterns2Apply ML analysis3Check threat intel4Flag anomalies
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Planet PostgreSQL database ↺ since 10-09

AWS Aurora PostgreSQL now queries Iceberg and Parquet directly

AWS has enabled Aurora PostgreSQL to query Apache Iceberg and Parquet data natively, expanding the scope of what 'Postgres reads Iceberg' can mean in the ecosystem. This announcement highlights the growing fragmentation in how vendors implement open table formats within PostgreSQL-compatible engines. The move allows direct access to these formats without external tooling, though it adds to the complexity of understanding vendor-specific capabilities.

  • Aurora PostgreSQL now supports direct querying of Iceberg and Parquet files.
  • Firms must verify exact implementation details as 'Postgres reads Iceberg' varies by vendor.
  • This reduces the need for external ETL tools to expose data to PostgreSQL.
  • Ecosystem fragmentation increases; document specific engine capabilities carefully.
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