Kategorie: Amazon AWS

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

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

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

Amazon WorkSpaces Applications introduces unified graphics images

Today, Amazon WorkSpaces Applications announces unified graphics images, a single image type that works across all supported graphics instance families, including G4dn, G5, G6, and G7. Previously, each graphics generation required its own dedicated image. Now customers can use one image to create and manage fleets on any supported graphics instance family.
Unified graphics images simplify image management and make it easier to adopt newer GPU generations as they become available. When creating a fleet using the unified graphics image, the console displays all compatible instance types, so you can choose the right price and performance for your workload. Fleets built on a unified graphics image can also change instance types across supported families using the console or the UpdateFleet API, an operation previously limited to sizes within a single instance family.
Unified graphics images are available in all AWS commercial and AWS GovCloud (US) Regions where Amazon WorkSpaces Applications graphics instances are supported.
To get started, upgrade an existing graphics image through Managed Image Update or launch an image builder from a unified base image. To learn more, visit the Amazon WorkSpaces Applications documentation.

Quelle: aws.amazon.com

OpenAI GPT-6.1 Sol is now generally available on Amazon Bedrock

Today, AWS announces the general availability of GPT-6.1 Sol from OpenAI on Amazon Bedrock. An upgrade to GPT-6 Sol, GPT-6.1 Sol delivers exceptionally strong performance on agentic coding, computer use, and professional work. According to OpenAI, it approaches GPT-6 Astra across demanding evaluations at roughly one-fifth of the cost, giving developers more room to build and run capable agents at scale. The Amazon Bedrock inference engine delivers the performance, security, and reliability required for production workloads.
Use GPT-6.1 Sol to build features, debug issues, iterate on solutions, carry out multistep workflows, and investigate complex codebases. It also supports explicit prompt caching on Amazon Bedrock, making it practical for agentic workloads that reuse context across repeated requests. 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. To learn more, read the blog. 
Quelle: aws.amazon.com

Amazon RDS now adds full snapshot size information to the Console and API

Amazon RDS now displays the full snapshot size for RDS Snapshots. With this enhancement, customers can now retrieve full snapshot sizes programmatically through the DescribeDBSnapshots API using the new field, ‘FullSnapshotSizeInBytes’. They can also view this on the console with the ‘Full Snapshot Size’ column.   
Amazon RDS snapshots are incremental. This means that if you take multiple snapshots of a volume over time, each snapshot only stores the new or modified blocks while maintaining references to unchanged blocks from previous snapshots. The ‘FullSnapshotSizeInBytes’ field shows you the total size of all blocks that make up a snapshot, including both the blocks stored directly in that snapshot and all blocks referenced from previous snapshots. For instance, if you have a 100 GB database volume with 50 GB of data, the ‘full snapshot size’ would show 50 GB regardless of whether it’s the first snapshot or a subsequent one. Please note that this is different from the incremental snapshot size, which only refers to the size of newly changed blocks stored in that specific snapshot.
Full snapshot size is available all Amazon RDS database instances in all commercial AWS Regions. You can start using it today through the Amazon RDS Management Console, the AWS Command Line Interface (CLI), or the AWS SDKs. To learn more, see the Amazon RDS User Guide.
Quelle: aws.amazon.com

Amazon Bedrock Managed Agents, powered by OpenAI, is now available in preview

Developed jointly by AWS and OpenAI, Bedrock Managed Agents (BMA) is built on a customized version of OpenAI’s Agents API engineered to be AWS-native and integrated with AWS resources. You can now build agents optimized for OpenAI models that run entirely inside AWS with the identities, permissions, and governance controls you already use. 
BMA manages how the model preserves state, selects and uses tools, executes code, and coordinates work across multiple steps and decisions. Durable sessions retain messages, tool calls, and intermediate results so you can return later, provide new information, and continue from the progress already made. You can add reusable skills for specialized procedures and connect agents to tools, including via Model Context Protocol (MCP) servers. Each agent operates with its own IAM role, supports human approval before consequential actions, and records supported API activity with AWS CloudTrail.
During preview, there is no additional charge for BMA beyond the underlying AWS resources your agents consume. Pricing is subject to change at general availability.
Get started with Amazon Bedrock Managed Agents today through supported APIs. BMA is available in preview in US East (N. Virginia), US West (Oregon), and US East (Ohio). For details, see the Amazon Bedrock documentation.  
Quelle: aws.amazon.com

Amazon Route 53 Resolver DNS Firewall support for Palo Alto Networks Advanced DNS Security is now Generally Available (GA)

​​Amazon Route 53 Resolver DNS Firewall support for Palo Alto Networks (PANW) Advanced DNS Security is now generally available across 32 AWS Regions, allowing security teams to detect and block malicious DNS traffic directly from their VPCs using PANW Advanced DNS Security rules without deploying separate firewalls or modifying VPC configurations.​
​​Previewed at AWS Summit New York City, the feature enables security administrators to enforce DNS threat protections (Command and Control, Malware, Phishing, Newly Registered Domains, etc.) from Palo Alto Networks directly using Route 53 DNS Firewall rules to inspect and block malicious DNS query traffic from Amazon VPCs and hybrid cloud (via Route 53 Resolver Endpoints).​
​​With general availability, PANW Advanced DNS Security on DNS Firewall is now supported in all AWS Regions where DNS Firewall is offered. Customers can subscribe to and enable the feature directly via the Route 53 DNS Firewall console, share licenses across organization accounts via AWS License Manager, and associate DNS Firewall rule groups containing PANW rules with VPCs using AWS Resource Access Manager, Route 53 Profiles, or AWS Firewall Manager.​
​​​To learn more and get started, see Route 53 DNS Firewall documentation. To view Route 53 DNS Firewall pricing, visit Route 53 pricing page. To learn more about the AWS Marketplace listing and pricing for PANW Advanced DNS Security, see the AWS Marketplace listing.​​
Quelle: aws.amazon.com

AWS Systems Manager now supports sharing documents through AWS Resource Access Manager

AWS Systems Manager now lets you share your Systems Manager Documents (SSM Documents) with an entire AWS organization or with specific organizational units (OUs) using AWS Resource Access Manager (AWS RAM). Previously, you could only share a document publicly or with a list of individual account IDs. You can now easily share a document with your organization or OUs, and Systems Manager automatically keeps that sharing up to date as accounts are added to or removed from your organization or OU, so you no longer need to track and update accounts manually.
To share a document, you create an AWS RAM resource share, add the SSM Documents you want to share, and select the organizations or OUs to share them with. Because sharing is managed through AWS RAM and resource-based policies, access is granted through standard AWS authorization. When you share a document with an account outside your organization, that account receives a resource share invitation and gains access only after it accepts, giving both the document owner and the consumer more control over shared access.
This capability is available in the Systems Manager console, the AWS Command Line Interface (AWS CLI), and the AWS SDKs, in all AWS Regions where AWS Systems Manager is available. There is no additional charge to share documents through AWS RAM. To get started, open the Documents page in the Systems Manager console, or see the AWS Systems Manager User Guide at https://docs.aws.amazon.com/systems-manager/latest/userguide/documents-ssm-sharing.html.
Quelle: aws.amazon.com

Amazon RDS for PostgreSQL announces Extended Support minor versions 13.23-rds.20260514, 12.22-rds.20260514 and 11.22-rds.20260514

Amazon Relational Database Service (RDS) for PostgreSQL announces Amazon RDS Extended Support minor versions 13.23-rds.20260514, 12.22-rds.20260514, and 11.22-rds.20260514.
Amazon RDS Extended Support 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 Amazon RDS Blue/Green Deployments, in-place upgrade, or restore from a snapshot. Learn more about performing version upgrades in the Amazon RDS for PostgreSQL User Guide. 
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 Amazon RDS Management Console or by using the AWS Command Line Interface (AWS CLI).
Quelle: aws.amazon.com