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Amazon RDS for MySQL supports MySQL 26.7 in Amazon RDS Database Preview Environment

Starting today, Amazon RDS for MySQL 26.7 is available in the Amazon RDS Database Preview Environment, allowing you to evaluate the pre-release of MySQL 26.7 on Amazon RDS for MySQL.
MySQL 26.7 is the first Innovation release to adopt the new YY.M (Year.Month) calendar versioning model. It includes bug fixes, security patches, and new features such as Change Stream Applier, a modular replication applier that improves apply throughput and backlog recovery in test workloads. For more details, refer to the MySQL 26.7 release notes.
Amazon RDS Database Preview Environment database instances are retained for a maximum of 60 days and are automatically deleted after the retention period. Database snapshots created in the Preview Environment can only be used within the Preview Environment. Preview Environment database instances are priced according to pricing in the US East (Ohio) Region.
To learn more, visit the Amazon RDS Database Preview Environment documentation.
Quelle: aws.amazon.com

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Amazon Aurora and RDS now support AMD-based R8a instances

Amazon Aurora and Amazon RDS now support R8a database instances powered by 5th generation AMD EPYC processors, expanding the choice available for your database workloads. Each vCPU in R8a database instances corresponds to a physical CPU core, which delivers consistent per-core performance. For workloads with high I/O requirements, R8a instances provide up to 75 Gbps of network bandwidth and 60 Gbps of Amazon EBS bandwidth. All R8a instances are built on the AWS Nitro System using sixth-generation Nitro Cards.
R8a database instances are supported for Amazon Aurora PostgreSQL-Compatible Edition, Amazon Aurora MySQL-Compatible Edition, RDS for PostgreSQL, MySQL and MariaDB. R8a database instances are available in US East (N. Virginia, Ohio), US West (Oregon), Canada (Central), Asia Pacific (Tokyo, Taipei) and Europe (Ireland, Frankfurt, Spain) regions. 
You can get started with R8a database instances through the Amazon RDS Management Console or by using the AWS Command Line Interface (CLI). For the specific engine versions that support these instance classes, see the Aurora and RDS documentation. For pricing, see the Amazon Aurora pricing page  and the Amazon RDS pricing page.
Quelle: aws.amazon.com

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Amazon RDS now supports AMD-based M8a instances

Amazon RDS for PostgreSQL, MySQL, and MariaDB now support M8a database instances powered by 5th generation AMD EPYC processors, expanding the choice available for your database workloads. Each vCPU in M8a database instances corresponds to a physical CPU core, which delivers consistent per-core performance. For workloads with high I/O requirements, M8a instances provide up to 75 Gbps of network bandwidth and 60 Gbps of Amazon EBS bandwidth. All instances are built on the AWS Nitro System using sixth-generation Nitro Cards.
M8a database instances are available in US East (N. Virginia, Ohio), US West (Oregon), Asia Pacific (Mumbai, Tokyo, Hyderabad) and Europe (Ireland, Frankfurt, Spain) regions. You can get started with M8a database instances through the Amazon RDS Management Console or by using the AWS Command Line Interface (CLI). For the specific engine versions that support these instance classes, see the RDS documentation. For pricing , see the Amazon RDS pricing page.
Quelle: aws.amazon.com

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Amazon Aurora serverless now scales faster to support agentic AI and other bursty workloads

Amazon Aurora serverless now scales in even larger steps, adding up to 16 ACUs to its current capacity within a second and continuing to scale up to 256 ACUs as your workload grows. With this launch, your workload will scale faster and reach capacity that it requires. When the workload finishes, Aurora serverless automatically scales down to zero, so you only pay for what you use. This makes it especially well-suited for agentic AI applications, which typically have bursts of activity, long idle windows, and unpredictable traffic patterns.
This enhancement is enabled by default on all Aurora serverless clusters running on platform version 3 or 4, with no configuration changes required. Existing clusters on platform versions 1 and 2 can upgrade directly to the latest platform version 4 to benefit from these improvements. You can verify your cluster’s platform version in the AWS Management Console under the instance configuration section, or via the RDS API’s ServerlessV2PlatformVersion parameter.
For pricing details and Region availability, visit Amazon Aurora Pricing. To learn more, read the Aurora serverless scaling documentation, and get started by creating an Aurora serverless database in just a few steps in the AWS Management Console.
Quelle: aws.amazon.com

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OpenAI GPT-6 Astra now supports UltraFast mode on Amazon Bedrock

 Today, AWS announces the availability of UltraFast mode for GPT-6 Astra from OpenAI on Amazon Bedrock. Ultrafast is a premium speed tier for GPT-6 Astra built for workloads where speed matters most. According to OpenAI, Ultrafast delivers up to 6x faster inference in the API, with up to 300 tokens per second. The Amazon Bedrock inference engine delivers the performance, security, and reliability required for production workloads.
Use GPT-6 Astra Ultrafast for latency-sensitive applications such as real-time coding assistants, interactive agents, and customer-facing experiences that require fast, high-quality responses. Established AWS controls help you secure workloads, govern access, and audit model invocation activity.
You can get started in the Amazon Bedrock console or programmatically through supported Amazon Bedrock APIs. For information about supported AWS Regions, endpoints, APIs, features, inference profiles and pricing, see the Amazon Bedrock documentation.  
Quelle: aws.amazon.com

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OpenStack Hibiscus: What It Takes to Build a Release Together

Today, the OpenStack community released OpenStack 2026.2 Hibiscus, our 34th release. For users and operators, a new release is an opportunity to explore new features and improvements. For the contributor community, it is a chance to look back at six months of collaboration across project teams, organizations, Special Interest Groups, Pop-up teams, Working Groups, time… Read more »
The post OpenStack Hibiscus: What It Takes to Build a Release Together appeared first on OpenStack Blog | Open Infrastructure Foundation.
Quelle: openstack.org