All news with #aws rds tag

AWS launches Database Savings Plans for databases worldwide

🚀 Today AWS introduced Database Savings Plans, a flexible pricing model that offers up to 35% savings in exchange for a one-year commitment measured in $/hour with no upfront payment. Discounts apply automatically to eligible serverless and provisioned usage across engines, instance families, sizes, deployment options, and Regions. The offer supports Amazon Aurora, Amazon RDS, Amazon DynamoDB, Amazon ElastiCache, Amazon DocumentDB, Amazon Neptune, Amazon Keyspaces, Amazon Timestream, and AWS DMS. Database Savings Plans are available now in all AWS Regions except China and can be purchased from the Billing console or via the AWS CLI.

AWS Transform AI Agent for Full-Stack Windows Modernization

🔧 AWS Transform expands its .NET modernization agent into a full-stack Windows modernization agent that automates transformation of .NET applications and Microsoft SQL Server databases to Amazon Aurora PostgreSQL and deploys them to containers on Amazon ECS or Amazon EC2 Linux. The agent scans SQL Server instances in EC2 or RDS and .NET code in GitHub, GitLab, Bitbucket, or Azure Repos to produce editable modernization plans. It updates Entity Framework and ADO.NET data access code, migrates schemas and data, commits transformed code to a new branch, and supports supervised validation and deployment. Available in US East (N. Virginia).

Amazon Aurora PostgreSQL Adds Dynamic Data Masking

🔒 Amazon Aurora PostgreSQL-Compatible Edition now supports dynamic data masking using the new pg_columnmask extension, enabling column-level protection at query time. The extension complements PostgreSQL row-level security and column grants by letting administrators define SQL-based masking policies that alter how data appears to users without changing stored values. Policies can use built-in or user-defined functions to hide, partially mask, or transform data, and multiple policies can be applied with weighted precedence. pg_columnmask protects results across WHERE, JOIN, ORDER BY, and GROUP BY clauses and is available for Aurora PostgreSQL 16.10+ and 17.6+ in all regions.

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.

AWS DMS Schema Conversion Adds SAP ASE to PostgreSQL

🤖 AWS Database Migration Service (DMS) Schema Conversion now supports conversions from SAP Adaptive Server Enterprise (ASE) to both Amazon RDS for PostgreSQL and Amazon Aurora PostgreSQL. The integrated generative AI capability helps automatically translate complex database code such as stored procedures, functions, triggers, cursors, and other ASE-specific constructs that traditionally require manual conversion. Schema Conversion also provides detailed assessment reports to help migration teams plan, estimate effort, and reduce risk when executing migrations to PostgreSQL-compatible managed databases on AWS.

Aurora DSQL Adds Statement-Level DPU Cost Estimates

🔍 Amazon Aurora DSQL now surfaces statement-level cost estimates directly in query plans, providing developers immediate visibility into resource use per SQL statement. The EXPLAIN ANALYZE VERBOSE output is extended to append per-category (compute, read, write, and multi-Region write) and total estimated Distributed Processing Unit (DPU) usage. This enhancement offers fine-grained, real-time cost insight that complements CloudWatch metrics, enabling faster identification of cost drivers and more effective query tuning. The feature is available in all Regions where Aurora DSQL is supported.

CloudWatch Database Insights expands anomaly detection

🔍 Amazon CloudWatch Database Insights now detects anomalies across additional metrics in its on‑demand analysis experience. The ML-driven on‑demand reports identify anomalies in database-level and OS-level counters and surface per‑SQL anomalies for top statements, automatically comparing selected periods to learned baselines. The feature pairs intuitive visualizations with specific remediation advice to help reduce mean time to diagnosis. Enable Advanced mode for Amazon Aurora or Amazon RDS via the AWS Management Console, APIs, or CloudFormation and consult RDS and Aurora documentation for availability by region, engine, and instance class.

Amazon RDS for Oracle adds R7i memory-optimized instances

🧠 Amazon RDS for Oracle now offers R7i memory-optimized preconfigured instances powered by custom 4th Gen Intel Xeon Scalable processors, the AWS Nitro System, and DDR5 memory. These instances provide up to a 64:1 memory-to-vCPU ratio and higher storage I/O per vCPU, enabling many Oracle workloads to reduce vCPU counts without performance loss. Available under BYOL for Oracle Database Enterprise Edition and Standard Edition 2, R7i can lower Oracle licensing and support costs while meeting high-performance requirements.

Amazon RDS adds IPv6 for publicly accessible DBs in regions

🌐 Amazon RDS now extends IPv6 support to publicly accessible databases, enabling dual-stack (IPv4 and IPv6) connectivity for both RDS and Aurora publicly accessible instances. This builds on existing IPv6 support for privately accessible databases in a VPC and lets teams scale beyond IPv4 address limits and assign contiguous IP ranges to microservices. The feature is available in all AWS regions where private IPv6 RDS is offered, and can be enabled via the AWS CLI or Management Console.

AWS Backup: Single-step Cross-Region Snapshot Copy

🔁 AWS Backup now supports a single-action copy of database snapshots across AWS Regions and accounts for Amazon RDS, Amazon Aurora, Amazon Neptune, and Amazon DocumentDB. This eliminates the previous two-step process and removes the need for intermediate copies, custom scripts, or Lambda automation. The change reduces operational complexity and helps achieve faster RPOs while removing costs associated with intermediate snapshot storage. You can use the feature today via the AWS Management Console, AWS CLI, or AWS SDKs.

CloudWatch Database Insights Adds Tag-Based Access Control

🔐 Amazon CloudWatch Database Insights now supports tag-based access control for database-level and per-query metrics powered by RDS Performance Insights. Instance tags defined on RDS and Aurora are now automatically evaluated to authorize Performance Insights metrics, enabling IAM policies to use tag-based access conditions across logical groups of databases. This reduces manual, resource-level permission management and improves governance and security consistency. The feature is available in all AWS regions where Database Insights is offered.

Amazon RDS MySQL and PostgreSQL Zero-ETL to Redshift

⚡Amazon RDS for MySQL and Amazon RDS for PostgreSQL now support zero-ETL integrations with Amazon Redshift in eight additional regions. Data written to RDS is replicated to Redshift within seconds, enabling near real-time analytics and ML on transactional datasets. You can create multiple integrations per database, apply per-integration filtering to include or exclude specific databases and tables, and automate deployment with AWS CloudFormation.

Amazon RDS for Oracle Zero-ETL Integration in 8 Regions

⚡ Amazon RDS for Oracle now offers zero-ETL integration with Amazon Redshift in eight additional AWS Regions, enabling near real-time analytics and ML on transactional data without building ETL pipelines. Data written to an RDS for Oracle instance is replicated to Redshift within seconds. Administrators can configure integrations via Console, API, CLI, or CloudFormation, select specific PDBs and tables, and must use Oracle Database 19c.

Amazon Aurora PostgreSQL Adds R8g Instances in New Regions

⚡ Amazon Aurora PostgreSQL now supports Graviton4-based R8g DB instances in AWS Canada (Central), Asia Pacific (Singapore), and Asia Pacific (Seoul). R8g offers larger sizes up to 48xlarge with an 8:1 memory-to-vCPU ratio and DDR5 memory, including new 24xlarge and 48xlarge options delivering up to 192 vCPUs, up to 50 Gbps networking, and up to 40 Gbps EBS bandwidth. AWS reports up to 40% performance and up to 29% price/performance improvements over Graviton3 equivalents, varying by engine, version, and workload. You can launch or upgrade instances through the Amazon RDS console or AWS CLI with a simple instance type modification.

Crimson Collective Targets AWS Cloud Instances for Theft

🔒 Researchers report the 'Crimson Collective' has been targeting long-term AWS credentials and IAM accounts to steal data and extort companies. Using open-source tools like TruffleHog, the attackers locate exposed AWS keys, create new IAM users and access keys, then escalate privileges by attaching AdministratorAccess. They snapshot RDS and EBS volumes, export data to S3, and send extortion notices via AWS SES. Rapid7 urges organisations to audit keys, enforce least privilege, and scan for exposed secrets.

Amazon RDS supports cross-Region and cross-account snapshots

🔁 Amazon RDS now supports single-step cross-Region and cross-account copying of snapshots for Amazon RDS and Amazon Aurora. This new capability eliminates the prior two-step process and removes the need for an intermediate snapshot, helping customers achieve tighter recovery point objectives while reducing storage and operational costs. The feature is available in all AWS Regions, including AWS China and AWS GovCloud (US), and can be used today via the AWS Management Console, AWS CLI, or AWS SDKs.

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.

Amazon GuardDuty Protection Plans and Threat Detection

🔐 Amazon GuardDuty centralizes continuous threat detection across AWS using AI/ML and integrated threat intelligence. It offers optional protection plans—S3, EKS, Runtime Monitoring, Malware Protection for EC2 and S3, RDS, and Lambda—that extend detections to service-specific telemetry and runtime behaviors. Built-in Extended Threat Detection correlates signals into high-confidence attack sequences and maps findings to MITRE ATT&CK, providing prioritized remediation guidance.

Amazon RDS Proxy Adds End-to-End IAM Authentication

🔐 Amazon RDS Proxy now supports end-to-end IAM authentication for Amazon Aurora and RDS database instances, allowing applications to authenticate through the proxy using AWS IAM without storing credentials in Secrets Manager. This reduces credential rotation overhead and simplifies credential management. The capability is available for MySQL and PostgreSQL in all Regions where RDS Proxy is supported.

Amazon RDS Adds Latest Microsoft SQL Server GDR Updates

🔒 Amazon Relational Database Service (RDS) for Microsoft SQL Server now supports the latest General Distribution Release (GDR) updates for SQL Server 2016 SP3, 2017 CU31, 2019 CU32, and 2022 CU20. The supported RDS engine versions map to KB5063762, KB5063759, KB5063757, and KB5063814 respectively. These GDRs address vulnerabilities tracked as CVE-2025-49758, CVE-2025-24999, CVE-2025-49759, CVE-2025-53727, and CVE-2025-47954. We recommend that customers upgrade their RDS instances via the RDS Management Console, AWS SDK, or AWS CLI and follow the RDS SQL Server upgrade guidance.