Starting today, https://aws.amazon.com/rds/postgresql/ 19 Beta 4 is available in the https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/create-db-instance-in-preview-environment.html, allowing you to evaluate the pre-release of PostgreSQL 19 on Amazon RDS for PostgreSQL. PostgreSQL 19 Beta 4 refines the query performance and autovacuum management capabilities introduced in earlier releases and includes bug fixes and stability improvements since Beta 3. Fixes include pg_stat_autovacuum_scores view reporting for TOAST tables and corrected freeze-score scaling so you can tune autovaccum prioritization effectively. Parallel autovacuum now shares a rebalanced cost limit across its workers to keep maintenance on large tables within your configured limits. Refer to the https://www.postgresql.org/about/news/postgresql-19-beta-4-released-3386/ for more details. Amazon RDS Database Preview Environment database instances are retained for a maximum period of 60 days and are automatically deleted after the retention period. Amazon RDS database snapshots that are created in the Preview Environment can only be used to create or restore database instances within the Preview Environment. You can use the PostgreSQL dump and load functionality to import or export your databases from the Preview Environment. Amazon RDS Database Preview Environment database instances are priced as per the https://aws.amazon.com/rds/postgresql/pricing/ in the US East (Ohio) Region.

Starting today, https://aws.amazon.com/rds/postgresql/ introduces support for post-quantum TLS (PQ-TLS) key exchange, providing you with post-quantum cryptography options for encrypting your data in-transit. RDS for PostgreSQL versions 18 and higher support modification of the ssl_groups parameter. You can https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/PostgreSQL.Concepts.General.SSL.html#PostgreSQL.Concepts.General.SSL.Groups from the RDS for PostgreSQL allow list to align with your organization's security standards. Amazon RDS for PostgreSQL makes it simple to set up, operate, and scale PostgreSQL deployments in the cloud. Create or update a fully managed Amazon RDS database in the https://console.aws.amazon.com/rds/ or by using the AWS Command Line Interface (AWS CLI).

https://aws.amazon.com/rds/mysql/ announces Amazon RDS Extended Support minor versions 5.7.44-rds.20260902 and 8.0.46-rds.20260908. https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/extended-support.html provides up to three additional years of fixes for critical Common Vulnerabilities and Exposures (CVE) and bugs beyond a major version's end of standard support date, giving you more time to upgrade to a new major version. You can upgrade your database using https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/blue-green-deployments.html, in-place upgrade, or restore from a snapshot. Learn more about performing version upgrades in the https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/USER_UpgradeDBInstance.MySQL.html. You can also migrate to MySQL 8.4 from external MySQL sources using https://aws.amazon.com/dms/. Learn more about pricing details and regional availability at https://aws.amazon.com/rds/mysql/pricing/. Amazon RDS for MySQL makes it simple to set up, operate, and scale MySQL deployments in the cloud. Create or update a fully managed Amazon RDS database in the https://console.aws.amazon.com/rds/ or by using the AWS Command Line Interface (AWS CLI).

Amazon Aurora has recently introduced a Global Database writer endpoint to streamline routing for applications in disaster-recovery scenarios. This highly available global endpoint removes the need fo...

https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/UsingWithRDS.IAMDBAuth.htmlhttps://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/UsingWithRDS.IAMDBAuth.html (IAM DB Auth) now provides enhanced observability through metrics and logs. It enables customers to investigate and resolve authentication issues when connecting to RDS databases. Database connection authentication issues can occur due to multiple reasons such as configuration or permission issues with your IAM policy, using expired tokens, throttling, etc. IAM DB Auth metrics and logs can help troubleshoot authentication issues caused due to all the above issues. Now you will also get visibility into error logs that help you get insights into user specific connection failures. IAM DB Auth metrics are available in Amazon CloudWatch automatically as long as IAM DB Authentication is enabled on your database instance or cluster. IAM DB Auth error logs can be exported to your CloudWatch Logs account via the https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/USER_LogAccess.Procedural.UploadtoCloudWatch.html feature. Amazon RDS IAM DB Auth metrics and logs are supported by RDS for MySQL, RDS for MariaDB, RDS for PostgreSQL, Aurora MySQL-Compatible Edition, and Aurora PostgreSQL-Compatible Edition. To get started with enabling Amazon RDS IAM DB Authentication, visit: https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/UsingWithRDS.IAMDBAuth.Enabling.html and https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/UsingWithRDS.IAMDBAuth.Enabling.html. For troubleshooting Amazon RDS database authentication issues using Amazon RDS IAM DB Auth metrics and logs visit http://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/UsingWithRDS.IAMDBAuth.Troubleshooting.html and http://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/UsingWithRDS.IAMDBAuth.Troubleshooting.html. To learn more about AWS Identity and Access Management, refer the https://aws.amazon.com/iam/.

Replicate automated backups of your DB instances to another AWS Region.

Secure your RDS data by encrypting your DB instances.

Amazon Aurora PostgreSQL-Compatible Edition has added support for PostgreSQL versions https://docs.aws.amazon.com/AmazonRDS/latest/AuroraPostgreSQLReleaseNotes/AuroraPostgreSQL.Updates.html. The update includes PostgreSQL community's product improvements and bug fixes, while introducing Aurora-specific enhancements: read replica optimizations to reduce downtime during cluster upgrades, https://docs.aws.amazon.com/AmazonRDS/latest/AuroraPostgreSQLReleaseNotes/AuroraBabelfish.Updates.html, and security improvements. To use the new version, create a new Aurora PostgreSQL-compatible database with just a few clicks in the Amazon RDS Management Console. You can also upgrade your existing database . Please review https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/USER_UpgradeDBInstance.PostgreSQL.html to learn more about upgrading. Refer to the https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/Aurora.VersionPolicy.html to help you to decide how often to upgrade and how to plan your upgrade process. These releases are available in all commercial AWS Regions and the AWS GovCloud (US) Regions. 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 AWS services. To get started with Amazon Aurora, take a look at our https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/CHAP_GettingStartedAurora.html.

To save space in your Amazon S3 bucket, you can compress your backup files. For more information about compressing backup files, see Backup compression in the Microsoft documentation.

Amazon Aurora PostgreSQL-Compatible Edition has added support for Poshttps://docs.aws.amazon.com/AmazonRDS/latest/AuroraPostgreSQLReleaseNotes/AuroraPostgreSQL.Updates.htmtgreSQL versions https://docs.aws.amazon.com/AmazonRDS/latest/AuroraPostgreSQLReleaseNotes/AuroraPostgreSQL.Updates.html. The update includes the PostgreSQL community's product improvements and bug fixes, and also includes Aurora-specific enhancements. Dynamic Data Masking (DDM) (16.10 and 17.6 only) is a new database-level security feature that protects sensitive data like personally identifiable information by masking column values dynamically at query time based on role-based policies, without altering the actual stored data. This release also includes a shared plan cache, improved performance and recovery-time-objective (RTO) and improvement for Global Database switchovers. To use the new versions, create a new Aurora PostgreSQL-compatible database with just a few clicks in the Amazon RDS Management Console. You can also upgrade your existing database. Please review https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/USER_UpgradeDBInstance.PostgreSQL.html to learn more about upgrading. Refer to the https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/Aurora.VersionPolicy.html to help you to decide how often to upgrade and how to plan your upgrade process. These releases are available in all commercial AWS Regions and the AWS GovCloud (US) Regions. 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 AWS services. To get started with Amazon Aurora, take a look at our https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/CHAP_GettingStartedAurora.html.

https://aws.amazon.com/rds/postgresql/ 18 Release Candidate 1 (RC1) is now available in thehttps://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/create-db-instance-in-preview-environment.html allowing you to evaluate the pre-release of PostgreSQL 18 on Amazon RDS for PostgreSQL. You can deploy PostgreSQL 18 RC1 in the https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/create-db-instance-in-preview-environment.htmlthat has the benefits of a fully managed database. PostgreSQL 18 includes "skip scan" support for multicolumn B-tree indexes and improves WHERE clause handling for OR and IN conditions. It introduces parallel GIN (Generalized Inverted) Index builds and updates join operations. Observability improvements show buffer usage counts and index lookups during query execution, along with per-connection I/O utilization metric. Please refer the https://docs.aws.amazon.com/AmazonRDS/latest/PostgreSQLReleaseNotes/postgresql-versions.html#postgresql-version18 for more details. Amazon RDS Database Preview Environment database instances are retained for a maximum period of 60 days and are automatically deleted after the retention period. Amazon RDS database snapshots that are created in the preview environment can only be used to create or restore database instances within the preview environment. You can use the PostgreSQL dump and load functionality to import or export your databases from the preview environment. Amazon RDS Database Preview Environment database instances are priced as per the https://aws.amazon.com/rds/postgresql/pricing/ in the US East (Ohio) Region.

Amazon Relational Database Service (RDS) now extends the Internet Protocol Version 6 (IPv6) support to https://docs.aws.amazon.com/AmazonRDS/latest/gettingstartedguide/security-public-private.html#security-public, in addition to the existing support for privately accessible databases within a VPC. This allows you to configure dual-stack (IPv4 and IPv6) connectivity for your publicly accessible RDS and Aurora databases. https://aws.amazon.com/vpc/ipv6/ provides an expanded address space, enabling you to scale your application on AWS beyond the limitations of IPv4 addresses. With IPv6, you can assign easy to manage contiguous IP ranges to micro-services and can get virtually unlimited scale for your applications. Moreover, with support for both IPv4 and IPv6, you can gradually transition applications from IPv4 to IPv6, enabling safer migration. This feature is available in all AWS regions where IPv6 support for privately accessible RDS databases within a VPC is already available. Get started with the AWS CLI or https://console.aws.amazon.com/rds/home. To learn more about configuring your environment for IPv6, please refer to the https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/USER_VPC.WorkingWithRDSInstanceinaVPC.html.

    Amazon RDS Proxy now supports Internet Protocol Version 6 (IPv6) 0 views Eyal Estrin unread, 3:32 AM (9 minutes ago)    to https://aws.amazon.com/about-aws/whats-new/2025/09/amazon-rds-proxy-supports-ipv6/ https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/Concepts.RDS_Fea_Regions_DB-eng.Feature.RDSProxy.html https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/Concepts.Aurora_Fea_Regions_DB-eng.Feature.RDS_Proxy.html Eyal Estrin CISSP, CCSP, CISM, CISA, CDPSE, CCSK Blog: https://security-24-7.com | Books: https://amzn.to/42Xai9A | https://amzn.to/3Sggbtv Twitter: @eyalestrin | Bluesky: @eyalestrin.bsky.social Reply all Reply to author Forward

Starting today, Amazon RDS for PostgreSQL 19 Beta 4 is available in the Amazon RDS Database Preview Environment, allowing you to evaluate the pre-release of PostgreSQL 19 on Amazon RDS for PostgreSQL. PostgreSQL 19 Beta 4 refines the query performance and autovacuum management capabilities introduced in earlier releases and includes bug fixes and stability improvements since Beta 3. Fixes include pg_stat_autovacuum_scores view reporting for TOAST tables and corrected freeze-score scaling so you can tune autovaccum prioritization effectively. Parallel autovacuum now shares a rebalanced cost limit across its workers to keep maintenance on large tables within your configured limits. Refer to the PostgreSQL community announcement for more details. Amazon RDS Database Preview Environment database instances are retained for a maximum period of 60 days and are automatically deleted after the retention period. Amazon RDS database snapshots that are created in the Preview Environment can only be used to create or restore database instances within the Preview Environment. You can use the PostgreSQL dump and load functionality to import or export your databases from the Preview Environment. Amazon RDS Database Preview Environment database instances are priced as per the pricing in the US East (Ohio) Region.

https://aws.amazon.com/rds/postgresql/ 18.0 is now available in thehttps://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/create-db-instance-in-preview-environment.html allowing you to evaluate the latest PostgreSQL features while leveraging the benefits of a fully managed database service. This preview environment provides you a sandbox where you can test applications and explore new PostgreSQL 18.0 capabilities before they become generally available. PostgreSQL 18.0 includes "skip scan" support for multicolumn B-tree indexes and improves WHERE clause handling for OR and IN conditions. It introduces parallel Generalized Inverted Index (GIN) builds and updates join operations. It now supports Universally Unique Identifiers Version 7 (UUIDv7), which combines timestamp-based ordering with traditional UUID uniqueness to boost performance in high-throughput distributed systems. Observability improvements show buffer usage counts and index lookups during query execution, along with per-connection I/O utilization metric. Please refer to the https://docs.aws.amazon.com/AmazonRDS/latest/PostgreSQLReleaseNotes/postgresql-versions.html#postgresql-version18 for more details. Amazon RDS Database Preview Environment database instances are retained for a maximum period of 60 days and are automatically deleted after the retention period. Amazon RDS database snapshots that are created in the preview environment can only be used to create or restore database instances within the preview environment. You can use the PostgreSQL dump and load functionality to import or export your databases from the preview environment. Amazon RDS Database Preview Environment database instances are priced as per the https://aws.amazon.com/rds/postgresql/pricing/ in the US East (Ohio) Region.