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All news with #amazon aurora tag

Wed, November 26, 2025

Amazon Aurora adds PostgreSQL minor versions and DDM support

🔒 Amazon Aurora PostgreSQL-Compatible Edition now supports PostgreSQL 17.6, 16.10, 15.14, 14.19, and 13.22, bringing community fixes plus Aurora-specific enhancements. The release introduces database-level Dynamic Data Masking (DDM) for 16.10 and 17.6 to mask sensitive column values at query time using role-based policies without altering stored data. Additional updates include a shared plan cache, improved performance and recovery-time-objective (RTO), and more reliable Global Database switchovers. New clusters can be created in the Amazon RDS console or existing databases upgraded; releases are available across all commercial AWS Regions and AWS GovCloud (US).

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Fri, November 21, 2025

Amazon Aurora DSQL Storage Limit Increased to 256 TiB

🔔 Amazon Web Services has raised the maximum storage limit for Aurora DSQL database clusters to 256 TiB, doubling the prior 128 TiB cap. This update enables customers to store and manage much larger datasets within a single cluster, simplifying data management for large-scale applications. Storage continues to auto-scale and customers pay only for used capacity; default clusters remain limited to 10 TiB and higher limits require a Service Quotas request.

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Fri, November 21, 2025

AWS Organizations adds upgrade rollout policy for RDS

🔔 AWS Organizations now supports an upgrade rollout policy for Amazon Aurora and Amazon RDS, enabling staggered automatic minor version upgrades across accounts and resources. Administrators can define simple sequences (first, second, last) via account-level policies or resource tags so upgrades begin in development and progress to production only after validation. AWS Health notifications between phases, built-in validation periods, and the ability to pause progression provide control and observability. The feature is available in all commercial Regions and AWS GovCloud (US); RDS for Oracle support applies to engine versions released after January 2026.

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Tue, November 18, 2025

Amazon RDS Adds R8gd and M8gd for Optimized Reads Now

🚀 Amazon RDS now supports R8gd and M8gd instances for Optimized Reads on Amazon Aurora PostgreSQL and RDS for PostgreSQL, MySQL, and MariaDB, offering improved price-performance. Optimized Reads uses local NVMe-based SSDs to store ephemeral data (temporary tables and evicted pages) to reduce network I/O and boost read latency and throughput. AWS reports up to 165% better throughput and up to 120% better price-performance on R8gd versus R6g for Aurora PostgreSQL. These instances are available in select US, Europe, and Asia Pacific regions and can be enabled via the Console, CLI, or SDK.

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Fri, November 14, 2025

Amazon RDS Blue/Green Deployments for Aurora Global Database

🔁 Amazon RDS Blue/Green deployments now support Aurora Global Database, enabling you to create a staging (green) environment that mirrors production (blue) across primary and all secondary regions. Perform a blue/green switchover to switch primary and secondary regions to the green environment with minimal downtime and no application configuration changes. Aurora automatically renames clusters, instances, and endpoints to preserve production connectivity. This capability covers Aurora MySQL‑ and PostgreSQL‑compatible editions in commercial and AWS GovCloud (US) Regions and is available via the Console, SDK, and CLI.

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Tue, September 16, 2025

Amazon Aurora PostgreSQL Limitless Now in AWS GovCloud

🚀 Amazon Aurora PostgreSQL Limitless Database is now available in AWS GovCloud (US‑East, US‑West), providing a serverless endpoint that transparently distributes data and queries across multiple Aurora Serverless instances while preserving transactional consistency. The service supports PostgreSQL 16.6, 16.8, and 16.9 compatibility and includes distributed query planning and transaction management so you don’t need to build custom sharding or manage multiple databases. Compute automatically scales up and down within customer-specified budgets, reducing the need to provision for peak capacity.

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