All news with #aws rds tag

🛠️ Amazon RDS for Oracle now offers a self-service minor version upgrade precheck via the rdsadmin.rdsadmin_precheck_tasks.precheck_minor_upgrade procedure, letting you detect and fix upgrade blockers before the maintenance window. RDS now also emits a new event, RDS-EVENT-0596, when a DB instance begins accepting connections during patching, enabling earlier application reconnection and reduced downtime. These features are available in all AWS commercial and GovCloud (US) Regions where RDS for Oracle is offered.

🚀 The AWS Advanced Ruby Driver Wrapper is now generally available for Amazon RDS and Amazon Aurora PostgreSQL and MySQL-compatible databases. It reduces RDS Blue/Green switchover, Aurora Global database switchover and failover times to improve application availability and supports authentication via AWS Secrets Manager and token-based AWS IAM. Built on the community pg and mysql2 drivers, it integrates with Aurora/RDS to detect cluster status and reconnect to promoted writers, and provides aws_postgresql and aws_mysql2 ActiveRecord adapters so applications require no code changes.

🔍 Amazon Aurora DSQL now supports partial indexes, enabling indexes over a subset of table rows defined by a WHERE clause. This reduces index storage and improves query performance for common working sets, such as active orders amid large historical data. Aurora DSQL will use a partial index when a query's filter is covered by the index condition. The feature is available in all AWS Regions where Aurora DSQL is offered.

⚡ Amazon Aurora Serverless now scales in larger increments, adding up to 16 ACUs within a second and scaling up to 256 ACUs as workloads demand. This launch speeds scaling to meet capacity needs and automatically scales to zero when idle, reducing costs. The enhancement is enabled by default on platform versions 3 and 4, with upgrade paths for versions 1 and 2. Check your cluster's platform version in the AWS Console or via the RDS API.

🔔 Amazon RDS for PostgreSQL, MySQL, and MariaDB now supports M8a instances powered by 5th‑generation AMD EPYC processors. Each vCPU maps to a physical core for consistent per‑core performance, with up to 75 Gbps network and 60 Gbps EBS bandwidth for high I/O workloads. Built on the AWS Nitro System with sixth‑generation Nitro Cards, M8a instances are available across multiple US, Europe, and Asia Pacific regions. Provision via the RDS Console or AWS CLI and consult RDS documentation for supported engine versions and pricing.

🖥️ Amazon Aurora and Amazon RDS now support R8a database instances powered by 5th generation AMD EPYC processors, offering each vCPU as a physical core for consistent per‑core performance. R8a instances deliver up to 75 Gbps network bandwidth and 60 Gbps Amazon EBS bandwidth and are built on the AWS Nitro System with sixth‑generation Nitro Cards. Supported engines include Aurora PostgreSQL/MySQL, RDS for PostgreSQL, MySQL and MariaDB. R8a instances are available in multiple US, Canada, Asia Pacific and European regions and can be launched via the RDS console or AWS CLI.

🚀 Starting today, Aurora PostgreSQL can directly query operational data alongside data stored in data lakes in Apache Iceberg and Parquet formats using your existing PostgreSQL applications and tools. You can create PostgreSQL foreign tables that reference data in Amazon S3, Amazon S3 Tables, or AWS Glue Data Catalog, and queries against those foreign tables use DuckDB’s high-performance engine embedded in PostgreSQL. The capability supports external Iceberg REST Catalog–compatible catalogs federated via AWS Glue Data Catalog, and data can be materialized into native Aurora tables for low-latency workloads. It is generally available on Aurora PostgreSQL versions 17.11, 18.6 and higher across AWS commercial and GovCloud (US) Regions at no extra charge.

🆕 Amazon RDS for MySQL 26.7 is now available in the Amazon RDS Database Preview Environment, enabling evaluation of the MySQL 26.7 pre-release on Amazon RDS. The release follows the new YY.M calendar versioning and includes bug fixes, security patches, and features like the Change Stream Applier to improve replication apply throughput. Preview instances are retained up to 60 days, snapshots are limited to the Preview Environment, and pricing follows the US East (Ohio) Region.

🔐 Amazon Redshift introduces a new DEBUG permission to let data owners grant select identities access to unredacted secure logging records across federated warehouses. With federated permissions, Redshift enforces FGAC across warehouses while secure logging redacts sensitive system table values; DEBUG lets authorized identities view full records for their queries or for account administration. Grants use the standard GRANT command for IAM users, roles, or Identity Center principals and remain effective when exporting system table data to Amazon S3 Tables.

🔍 Amazon RDS now reports the full snapshot size for RDS Snapshots through a new FullSnapshotSizeInBytes field in the DescribeDBSnapshots API and a console column labeled 'Full Snapshot Size'. This value represents the total size of all blocks that constitute a snapshot, including referenced blocks from prior incremental snapshots, and differs from the incremental snapshot size that only counts newly stored blocks. The feature is available for all Amazon RDS instances in all commercial AWS Regions and can be used via the console, CLI, or SDKs starting today.

🛈 Amazon RDS for PostgreSQL announces Extended Support minor versions 13.23-rds.20260514, 12.22-rds.20260514, and 11.22-rds.20260514. This Extended Support provides up to three additional years of fixes for critical CVEs and bugs beyond a major version's end of standard support date. You can upgrade via Blue/Green Deployments, in-place upgrade, or restore from a snapshot. Use the Amazon RDS Management Console or AWS CLI to create or update managed PostgreSQL instances.

🔔 Amazon Aurora PostgreSQL-Compatible Edition now supports PostgreSQL versions 18.6, 17.11, 16.15, 15.19, and 14.24, delivering community bug fixes and Aurora-specific enhancements. We recommend enabling automatic minor version upgrades to receive these fixes and address known CVEs. Use scheduled maintenance windows or the AWS Organizations Upgrade Rollout Policy to orchestrate phased upgrades across environments. Aurora continues to offer high performance, global resilience, serverless options, and security-focused features.

🔐 Amazon RDS for PostgreSQL now supports post-quantum TLS (PQ-TLS) key exchange to provide post-quantum cryptography options for data in transit. RDS for PostgreSQL versions 18 and higher allow modification of the ssl_groups parameter so administrators can pick cryptographic groups from the RDS allow list. Customers can deploy or update managed PostgreSQL instances through the Amazon RDS Console or the AWS CLI to enable these options.

🔔 Amazon RDS for MySQL announces Extended Support minor releases 5.7.44-rds.20260902 and 8.0.46-rds.20260908. RDS Extended Support offers up to three extra years of fixes for critical CVEs and bugs beyond standard support end dates. Customers can upgrade using Blue/Green Deployments, in-place upgrades, or restore from snapshots, and migrate with AWS Database Migration Service.

🚀 Amazon RDS now offers PostgreSQL 19 Beta 4 in the Amazon RDS Database Preview Environment, enabling evaluation of the pre-release on RDS. This beta refines query performance and autovacuum management, fixes TOAST table reporting in pg_stat_autovacuum_scores, and rebalances parallel autovacuum cost limits. Preview instances persist up to 60 days, snapshots are limited to the Preview Environment, and standard dump/load tooling is supported.

🔔 Amazon RDS for SQL Server now enables Multi‑AZ deployments using Always On Availability Groups for SQL Server Developer Edition. This provides a synchronous standby replica in a separate Availability Zone and automatic failover to support testing of high availability in non‑production environments. The capability mirrors Enterprise Edition functionality at no license cost and is available for SQL Server 2019, 2022, and 2025 Enterprise Developer Edition; SQL Server 2025 Standard Developer Edition is not supported.

🔔 Amazon RDS Custom for Microsoft SQL Server now supports the latest Cumulative Update, SQL Server 2022 CU26 (KB5093420) on RDS version 16.00.4265.3.v1. The update brings the fixes and improvements documented by Microsoft. You can apply the CU through the Amazon RDS Management Console or programmatically via the AWS SDK or AWS CLI. Refer to the Amazon RDS Custom User Guide for upgrade procedures.

🔔 Amazon RDS for Oracle now supports the Supplemental Patch Bundle (SPB) for the July 2026 Release Update (RU) for Oracle Database 19c and 26ai. Starting April 2026, Oracle renamed the Oracle Spatial Patch Bundle to Supplemental Patch Bundle, which includes targeted fixes for features like Oracle Spatial, Data Pump, and GoldenGate. You can apply the SPB to new or existing instances by selecting the "Supplemental Patch Bundle Engine Versions" checkbox in the AWS Console, and use AWS Organizations rollout policy to stagger automatic minor upgrades across environments.

🆕 Amazon RDS for MariaDB now supports community minor versions 10.6.28, 10.11.19, 11.4.13, 11.8.9, and 12.3.3, which include operational improvements and post-quantum TLS (PQ-TLS) key exchange support for in-transit encryption. AWS recommends upgrading to gain CVE fixes, bug fixes, performance improvements, and new features. You can upgrade via Blue/Green deployments, in-place upgrades, or snapshot restores, and automate rollouts with automatic minor upgrades and the AWS Organizations Upgrade Rollout Policy. Migration from external MariaDB sources is supported via AWS Database Migration Service.

🔷 Amazon Redshift now supports single-node clusters for rg.large instances on P204 or later patches, enabling cost-effective testing and proof-of-concept deployments without high-availability requirements. RG instances, powered by AWS Graviton processors, offer up to 2.4x faster performance than prior RA3 generations and a ~30% lower price per vCPU. The RG family includes Redshift’s custom vectorized engine for SQL analytics over Apache Iceberg and Parquet data, and these instances are available across numerous global AWS Regions.