Kategorie: Amazon AWS

ARC Region switch adds four new capabilities

Amazon Application Recovery Controller (ARC) Region switch helps you orchestrate the failover of multi-Region applications to achieve a bounded recovery time during a Regional impairment. Today, Region switch adds four new capabilities: AWS Systems Manager Run Command execution block, payloads for custom action Lambda execution block, service quota parity checks, and wait for target group health feature for compute scaling actions.
AWS Systems Manager Run Command execution block. During failover, you often need to run commands on managed instances and VMs. This execution block lets you invoke Run Command actions on managed instances during failover, with plan evaluation verifying that command documents target valid instances and that IAM permissions are correctly configured.
Payloads for custom action Lambda execution block. ARC Region switch now lets you pass payloads to your custom action Lambda execution block, allowing reusability of your Lambda functions across recovery plans.
Service quota checks. Service quota limits are a common failure mode during recovery. Region switch now verifies quota parity between your primary and standby Region, and automatically submits quota limit increases, reducing the risk of insufficient service quotas during recovery.
Wait for target group health. Amazon ECS service scaling and Amazon EC2 Auto Scaling group execution blocks help you provision compute capacity during recovery, but provisioned capacity may not be ready to serve traffic. The optional wait for target group health feature verifies that your provisioned capacity is ready to serve traffic.
To get started, see the documentation for AWS Systems Manager Run Command execution block , custom action Lambda execution block , Service quota checks  and the Wait for target group health for Amazon ECS service scaling execution block  and Amazon EC2 Auto Scaling group execution block .  
Quelle: aws.amazon.com

Amazon CloudWatch announces log routing and chained log parsers

Amazon CloudWatch now supports conditional log routing and chained parsers via pipelines, giving you more control over how log data is transformed and which CloudWatch log group it’s sent to. CloudWatch pipelines is a fully managed service that ingests, transforms, and routes telemetry to CloudWatch without managing infrastructure.
Log pipelines often carry a mix of event types that belong in different places, and individual events can nest one log format inside another. With conditional log routing, you define routes that send each event to a different CloudWatch log group based on conditions evaluated against processed fields, so you can separate events by severity, source, or type and apply the right retention and access controls to each. With chained parsers, you can apply multiple parser processors in sequence, where later parsers consume fields produced by earlier ones. For example, you can parse a JSON envelope first, then apply a Grok parser to a field it extracts. Together, these capabilities let you structure diverse log formats and route them to the right log groups in a single pipeline.
Conditional routing and chained parsers are available in all commercial AWS Regions where CloudWatch pipelines is generally available. You can configure these capabilities using the AWS Management Console, AWS CLI, or AWS SDKs. To get started, see the Amazon CloudWatch pipelines documentation.
Quelle: aws.amazon.com

Amazon RDS Proxy now supports SQL Server 2022

Amazon RDS Proxy, a fully managed, highly available database proxy for Amazon Relational Database Service (RDS), now supports Amazon RDS for SQL Server instances running major version 2022.

Amazon RDS Proxy sits between your application and the database to pool and share established database connections, improving database efficiency and application scalability. For Amazon RDS for SQL Server Multi-AZ databases, RDS Proxy automatically connects to the standby database instance during a failure, preserves application connections, and helps reduce failover times by up to 83%. RDS Proxy supports standard IAM authentication for SQL Server, where your applications authenticate to the proxy using AWS Identity and Access Management (IAM) and RDS Proxy manages database connections using credentials stored in AWS Secrets Manager.

You can enable Amazon RDS Proxy for your SQL Server 2022 database in a few steps on the Amazon RDS console, then connect by pointing your application to the RDS Proxy endpoint. To get started, see our documentation.
Quelle: aws.amazon.com

AWS Backup now supports Amazon FSx file systems in the Asia Pacific (New Zealand) Region

AWS Backup now supports Amazon FSx for Lustre, Amazon FSx for NetApp ONTAP, Amazon FSx for OpenZFS, and Amazon FSx for Windows File Server in the Asia Pacific (New Zealand) Region.
With this launch, you can use AWS Backup to centrally automate and manage data protection for your Amazon FSx file systems in the Asia Pacific (New Zealand) Region, alongside your other supported AWS resources. You can create policy-based backup plans to schedule backups and apply retention rules, store backups in encrypted vaults, and restore file systems when needed. This helps you meet business continuity, disaster recovery, and regulatory compliance requirements from a single, centralized service.
To get started, visit the AWS Backup console, AWS Command Line Interface (CLI), or AWS SDKs. For a complete list of supported Regions and features, visit the AWS Backup documentation. To learn more about AWS Backup, visit the product page and pricing page.
Quelle: aws.amazon.com

AWS HealthOmics introduces resource fallback order for Nextflow workflows

Today, AWS HealthOmics introduces the resource fallback directive for tasks in your Nextflow workflows, enabling you to define an ordered list of preferred accelerator types, including an option to fallback to CPU instances. Researchers and bioinformaticians can use this directive to reduce time spent diagnosing and resubmitting runs due to accelerator constraints and keep production workflows running. AWS HealthOmics is a HIPAA-eligible service that helps healthcare and life sciences customers accelerate scientific breakthroughs at scale with fully managed bioinformatics workflows. 
With resource fallback for Nextflow workflows, you can prioritize your preferred accelerator for your task. When your preferred accelerator is unavailable, HealthOmics automatically moves through your specified alternatives in the fallback without resubmission. Each accelerator profile has a configurable timeout, giving you control over how long HealthOmics searches for that accelerator before moving to the next. Shorter timeouts help you move quickly through the fallback order, while longer timeouts increase the probability of reserving your preferred accelerator. You can also include a CPU profile as a final fallback to increase the likelihood of your task reserving an instance. 
You can now use resource fallback for Nextflow workflows in all AWS HealthOmics Regions: US East (N. Virginia, Ohio), US West (Oregon), Europe (Frankfurt, Ireland, London), Israel (Tel Aviv), and Asia Pacific (Seoul, Singapore, Tokyo). To learn more, visit the advanced resource configuration and Nextflow specifics documentation. 
Quelle: aws.amazon.com

Amazon SageMaker Studio simplifies getting started for new AI/ML builders with social sign-in

Amazon SageMaker Studio now lets new customers sign up with their Google, GitHub, or Apple credentials and land inside a fully configured Studio environment – no traditional AWS account setup, no credit card, and no console navigation required.
Previously, new customers who discovered a model on Hugging Face or an AWS product page had to complete a multi-step AWS account creation process, provide a credit card, navigate the AWS Console to find SageMaker AI, configure an environment, and set up IAM permissions before they could begin working. With earlier launches, we reduced environment setup to twenty seconds, pre-configured model customization permissions, and introduced deep links from Hugging Face and AWS product pages so customers could land directly inside Studio with a model pre-loaded. Now, with social sign-in, new customers complete a simplified sign-up using an existing identity, receive free credits as part of the AWS Free Tier with no credit card required, and arrive inside a ready-to-use SageMaker Studio environment where they can immediately fine-tune, evaluate, and deploy foundation models. Customers can invite team members by email, and collaborators sign in with their own social credentials to access the shared Studio environment, including shared models, notebooks, and endpoints without configuring IAM users or permissions. When a project grows beyond free credits, customers can upgrade to a paid plan and set a spend limit to stay within budget. Verified customers continue to receive default GPU access to G5, G6, G6e, and G4dn instances across endpoint deployments, training jobs, and notebooks without requesting quota increases.
This feature is available in all AWS Commercial Regions where Amazon SageMaker Studio is supported. To get started, visit any supported model on Hugging Face and select “Customize and Deploy on SageMaker AI” or “Deploy on SageMaker AI,” or click Get Started from the SageMaker Studio page. To learn more, see the AWS sign-up documentation and SageMaker Studio setup guide.
Quelle: aws.amazon.com

AWS License Manager now supports license type conversions for Ubuntu Pro purchased through AWS Marketplace

AWS License Manager  now supports in-place upgrades for EC2 Ubuntu LTS (Long Term Support) instances to Ubuntu Pro available on AWS Marketplace. This allows customers to strengthen their security posture and meet compliance requirements without rebuilding their fleet or migrating workloads to a new instance or AMI. With an Ubuntu Pro subscription, customers receive security patches for up to 10 years — extendable to 15 years with the Legacy add-on. This coverage extends beyond the base OS to thousands of additional packages, including widely used open-source applications such as NGINX, PostgreSQL, MongoDB, and Redis. Ubuntu Pro also supports Kernel Livepatch, which applies critical kernel security fixes without rebooting to minimize downtime.
With this launch, customers, who have an existing Canonical Ubuntu Pro subscription through AWS Marketplace, can upgrade directly during the conversion workflow. Customers who do not yet have a subscription can subscribe to Canonical Ubuntu Pro from within the AWS License Manager console. The new feature is available in  all commercial regions  where AWS License Manager is available.
To get started, navigate to the  AWS License Manager console  and the  AWS License Manager User Guide . 
Quelle: aws.amazon.com

AWS Deadline Cloud now helps users find their accessible resources in the Deadline Cloud monitor

AWS Deadline Cloud now lets users who have access to specific queues, fleets, or jobs, rather than an entire farm, find the resources they can reach directly from the Deadline Cloud monitor. Deadline Cloud is a fully managed service that helps teams run compute-intensive workloads for visual effects, animation, product design, simulation, and gaming.
Previously, a user with access to only one queue had to get the farm ID from an administrator before they could reach their work. With this launch, the Deadline Cloud monitor displays to users queues they have access to, the parent IDs needed to reach them, and their level of access, covering both direct and group-inherited permissions. Teams now can share a single monitor entry point (URL) across different permission levels without additional coordination.
Resource discovery is available in all AWS Regions where Deadline Cloud is available. To learn more, visit the AWS Deadline Cloud user guide.
Quelle: aws.amazon.com

Amazon DCV releases version 2026.0 with RHEL 10 support and new clients

Amazon DCV 2026.0 is now available, adding support for RHEL 10, Rocky Linux 10, CentOS 10, and Ubuntu 26.04 along with a new macOS client and updated Windows and Linux clients. Amazon DCV is a high-performance remote display protocol that enables customers to securely access remote desktops and application sessions across Windows, Linux, and macOS.
Amazon DCV 2026.0 includes the following key features and improvements:

Support for RHEL 10, Rocky Linux 10, CentOS 10, and Ubuntu 26.04, with Linux hosts and sessions running on the modern Wayland display server

A new macOS client with gamepad support, and updated Windows and Linux clients

URL redirection on Windows hosts, so configured links opened in a remote session launch in the local browser on the client device

Printer preferences redirection on Windows, giving remote sessions access to client-side printer settings

Performance improvements, including H.264 frame slice support and slice-based multithreaded decoding on the Linux and macOS clients for lower latency

Support for new macOS server versions on Amazon EC2

For more information about the new features and enhancements in Amazon DCV 2026.0, see the release notes or visit the Amazon DCV webpage to learn more and get started.
 
Quelle: aws.amazon.com

AWS Agent Registry now supports custom metadata for registry records

AWS Agent Registry is the centralized, governed catalog for agents, MCP servers, agent skills, gateways, and custom resources within your organization. As organizations scale to hundreds of such resources, a name and description alone are insufficient for effective governance and discovery. Custom metadata lets you extend every registry record with your organization’s own structured fields, so both people and automated systems can find and govern resources consistently.

With custom metadata, publishers can record fields like team ownership, data classification, or review status directly on each registry record. You define a schema once per registry with common attributes, then extend it with type-specific fields — such as a model family for agent records. Each field supports free text, a URL, a Boolean, or a choice from a list of allowed values, and the registry validates required fields and values on every record creation or update. You can then filter search results on any custom metadata field from the AWS Management Console, the AWS CLI, the AWS SDKs, or the registry’s MCP endpoint.

Custom metadata is available in all AWS Regions where AWS Agent Registry is available: US East (N. Virginia), US West (Oregon), Asia Pacific (Sydney), Asia Pacific (Tokyo), and Europe (Ireland).

To learn more, visit the AWS Agent Registry documentation. For detailed setup guidance, see Define a custom metadata schema and Set custom metadata values on a record.
Quelle: aws.amazon.com