Relevant News - Amazon RDS
Relevant News - Amazon RDSCategory: Database
Here are the latest news items for Amazon RDS.
Link: https://aws.amazon.com/about-aws/whats-new/2026/02/arc-region-switch-post-recovery-rdsblock/
Amazon Application Recovery Controller (ARC) Region switch helps customers orchestrate the failover of their multi-Region applications to achieve a bounded recovery time in the event of a Regional impairment. It automates multi-Region disaster recovery, reducing engineering effort and eliminating operational overhead when recovering applications across multiple AWS accounts and Regions. Region switch now includes three new capabilities: post-recovery workflows, native RDS execution blocks, and AWS provider for Terraform support.
Post-recovery workflows. Disaster recovery doesn't end when customers failover to a standby Region. After orchestrating a failover or failback, customers must prepare the other Region for the next recovery event. Today, this requires manual coordination of scaling, recreating read replicas, and validating configurations. Post-recovery workflows help customers automate these preparation steps. With this launch, post-recovery workflows support the custom action Lambda execution block, Amazon RDS create read replica execution block, ARC Region switch plan execution block, and the manual approval execution block. Customers can create read replicas, run custom logic via Lambda functions, add manual approval gates, and embed child plans for complex orchestration as part of post-recovery. Post-recovery workflows are available for active/passive deployments and can be triggered manually.
RDS execution blocks. Coordinating Amazon RDS database recovery during Regional failover requires manual steps to promote read replicas and recreate replication, introducing delays and errors. Region switch now natively supports two Amazon RDS execution blocks that automate RDS recovery orchestration. The RDS promote read replica execution block orchestrates promotion of a read replica to a standalone instance during failover. The RDS create read replica execution block orchestrates replica creation as part of post-recovery workflows.
AWS provider for Terraform support. Region switch is now supported by the AWS provider for Terraform, enabling customers to manage disaster recovery plans as Infrastructure-as-Code and integrate them into CI/CD pipelines alongside application deployments.
To learn more, about AWS provider support for Terraform, visit Terraform provider documentation. To learn about post-recovery workflows in action, read the post-recovery workflow tutorial. To get started with Region switch, read our launch blog or documentation.
Published: 2026-02-27 22:00:00+00:00
Amazon CloudWatch Database Insights now provides lock contention diagnostics for Amazon RDS for PostgreSQL instances. This feature helps you identify the root cause behind both ongoing and historical lock contention issues within minutes. The lock contention diagnostics feature is available exclusively in the Advanced mode of CloudWatch Database Insights.
With this launch, you can visualize a locking condition in the Database Insights console, which shows the relationship between blocking and waiting sessions. The visualization helps you quickly identify the dominating sessions, queries, or objects causing lock contention. Additionally, this feature persists historical locking data for 15 months, allowing you to analyze and investigate historical locking conditions. You no longer need to manually run custom queries or rely on application logs to diagnose lock contention issues, streamlining the troubleshooting process.
You can get started with this feature by enabling the Advanced mode of CloudWatch Database Insights on your Amazon RDS for PostgreSQL clusters using the RDS console, AWS APIs, or the AWS SDK. CloudWatch Database Insights delivers database health monitoring aggregated at the fleet level, as well as instance-level dashboards for detailed database and SQL query analysis.
CloudWatch Database Insights is available in all public AWS Regions and offers vCPU-based pricing – see the pricing page for details. For further information, visit the Database Insights documentation.
Published: 2026-02-26 18:00:00+00:00
Link: https://aws.amazon.com/about-aws/whats-new/2026/02/rds-exports-s3-available-gov-cloud/
Amazon RDS Snapshot Export to S3 is now available in AWS GovCloud (US) regions, enabling you to export snapshot data in Apache Parquet format for analytics, data retention, and machine learning use cases.
Snapshot export to S3 supports all DB snapshot types (manual, automated system, and AWS Backup snapshots) and runs directly on the snapshot without impacting database performance. The exported data in Apache Parquet format can be analyzed using other AWS services such as Amazon Athena, Amazon SageMaker, or Amazon Redshift Spectrum, or with big data processing frameworks such as Apache Spark.
You can create a snapshot export with just a few clicks in the Amazon RDS Management Console or by using the AWS SDK or CLI. Snapshot Export to S3 is supported for Amazon Aurora PostgreSQL - Compatible Edition and Amazon Aurora MySQL, Amazon RDS for PostgreSQL, Amazon RDS for MySQL, and Amazon RDS for MariaDB snapshots. For more information, including instructions on getting started, read Aurora documentation or Amazon RDS documentation.
Published: 2026-02-24 18:26:00+00:00
Link: https://aws.amazon.com/about-aws/whats-new/2026/02/generative-ai-based-Amazon-Q-artifacts/
Today, AWS announces the general availability of Amazon Q Developer artifacts in the AWS Management Console. Amazon Q artifacts is a generative AI-based user experience that enables customers to visualize resource data in tables and cost data in charts. The launch also moves the Q icon to the navigation bar and the chat panel to the left, making Amazon Q easier to access from anywhere in the AWS Management Console.
Customers can access Amazon Q artifacts by selecting the Amazon Q icon and asking questions about their AWS resources to understand the state of their resources and costs using Amazon Q artifacts. For example, on asking “List S3 buckets with tag value production", Amazon Q displays the S3 buckets that has a tag value of production in a tabular format. Customers can then select the hyperlinks on the bucket name to view the bucket details in the S3 console. Customers can also visualize cost and billing information with charts. For example, on entering "Show me RDS costs by instance type over the last 6 months", Q will render the response in a Q artifacts using a chart (e.g., bar graph, line chart, pie chart, or area chart). Customers can also use sample prompts in the Prompt Library in the Amazon Q chat panel to get started quickly. The artifacts are displayed in an artifact panel to the right of the Amazon Q chat panel. Users can expand Amazon Q to full-screen for a dedicated focus mode experience.
The Amazon Q Developer artifacts are available in all AWS Regions where Amazon Q Developer is available. To get started visit Amazon Q Developer documentation.
Published: 2026-02-23 20:05:00+00:00
Link: https://aws.amazon.com/about-aws/whats-new/2026/02/amazon-aurora-mysql-312-available/
Starting today, Amazon Aurora MySQL - Compatible Edition 3 (with MySQL 8.0 compatibility) will support MySQL 8.0.44 through Aurora MySQL v3.12.
In addition to many security enhancements and bug fixes, Aurora MySQL v3.12 contains several availability improvements. For more details, refer to the Aurora MySQL 3.12 and MySQL 8.0.44 release notes. To upgrade to Aurora MySQL 3.12, you can initiate a minor version upgrade manually by modifying your DB cluster, or you can enable the “Auto minor version upgrade” option when creating or modifying a DB cluster. This release is available in all AWS regions where Aurora MySQL is available.
Amazon Aurora is designed for unparalleled high performance and availability at global scale with full MySQL and PostgreSQL compatibility. It provides built-in security, continuous backups, serverless compute, up to 15 read replicas, automated multi-Region replication, and integrations with other Amazon Web Services services. To get started with Amazon Aurora, take a look at our getting started page.
Published: 2026-02-17 20:00:00+00:00
Link: https://aws.amazon.com/about-aws/whats-new/2026/02/rds-minor-version-18-3-17-9-16-13-15-17-14-22/
Amazon Relational Database Service (RDS) for PostgreSQL now supports the latest minor versions 18.3, 17.9, 16.13, 15.17, and 14.22. These versions address the regression from the February 12, 2026 PostgreSQL community release. We recommend that you upgrade to the latest minor versions to fix known security vulnerabilities in prior versions of PostgreSQL, and to benefit from the bug fixes added by the PostgreSQL community.
You can upgrade your databases during scheduled maintenance windows using automatic minor version upgrades. To simplify operations at scale, enable automatic minor version upgrades and use the AWS Organizations Upgrade Rollout Policy to orchestrate thousands of upgrades in phases, first to development environments before upgrading production systems. You can also use Amazon RDS Blue/Green deployments with physical replication to minimize downtime for minor version upgrades.
Amazon RDS for PostgreSQL makes it simple to set up, operate, and scale PostgreSQL deployments in the cloud. See Amazon RDS for PostgreSQL Pricing for pricing details and regional availability. Create or update a fully managed Amazon RDS database in the Amazon RDS Management Console or by using the AWS Command Line Interface (CLI).
Published: 2026-02-27 08:00:00+00:00
Amazon Relational Database Service (Amazon RDS) for Oracle now supports the Oracle January 2026 Release Update (RU) for Oracle Database versions 19c and 21c, and the corresponding Spatial Patch Bundle for Oracle Database version 19c. We recommend upgrading to the January 2026 RU as it includes security updates for Oracle database products. The Spatial Patch Bundle update delivers important fixes for Oracle Spatial and Graph functionality to provide reliable and optimal performance for spatial operations.
You can apply the January 2026 RU from the Amazon RDS Management Console, or by using the AWS SDK or CLI. To automatically apply updates to your database instance during your maintenance window, enable Automatic Minor Version Upgrade. You can apply the Spatial Patch Bundle update for new database instances, or upgrade existing instances to engine version '19.0.0.0.ru-2026-01.spb-1.r1' by selecting the "Spatial Patch Bundle Engine Versions" checkbox in the AWS Console.
You can use AWS Organizations upgrade rollout policy to stagger automatic minor version upgrades for your Amazon RDS database instances such that automatic minor version upgrades are first applied to non-production environments, allowing you time to validate before the upgrades are applied to production environments. For additional details, refer to Amazon RDS for Oracle documentation on using AWS Organizations upgrade rollout policy for automatic minor version upgrades.
Published: 2026-02-20 08:38:00+00:00