Kategorie: Amazon AWS

AWS Direct Connect announces 100G expansion in Manchester, England

Today, AWS announced the expansion of 10 Gbps and 100 Gbps dedicated connections with MACsec encryption capabilities at the existing AWS Direct Connect location in the Equinix MA3 data center near Manchester, England. You can now establish private, direct network access to all public AWS Regions (except those in China), AWS GovCloud Regions, and AWS Local Zones from this location. This is the third AWS Direct Connect location in England to provide 100 Gbps connections with MACsec encryption capabilities.
The Direct Connect service enables you to establish a private, physical network connection between AWS and your data center, office, or colocation environment. These private connections can provide a more consistent network experience than those made over the public internet.
For more information on the over 150 Direct Connect locations worldwide, visit the locations section of the Direct Connect product detail pages. Or, visit our getting started page to learn more about how to purchase and deploy Direct Connect.
Quelle: aws.amazon.com

AWS Transform adds storage migration assessments for Amazon S3, EBS, EFS, and FSx

Migration assessments in AWS Transform now evaluate on-premises storage for migration to AWS. Instead of manually analyzing thousands of volumes across protocols, capacity, and performance, you upload a storage inventory and AWS Transform does the mapping for you. It matches each workload to the best-fit service, sizes the recommendation, and projects costs to produce a total cost of ownership business case. Bring NAS shares, SAN LUNs, direct-attached disks, or backup repositories via a NetApp Digital Advisor export, RVTools file, or other inventory. AWS Transform routes workloads across Amazon S3, Amazon EBS, Amazon EFS, and Amazon FSx (NetApp ONTAP, Windows File Server, OpenZFS, Lustre). Run what-if scenarios to compare deployment options such as Single-AZ vs. Multi-AZ or cost-optimized vs. performance-optimized, then ask follow-up questions about any result in chat.
Storage migration assessments are available in all AWS Regions where AWS Transform is available. To learn more, see the AWS Transform User Guide.
Quelle: aws.amazon.com

Amazon DynamoDB global tables now support disassociating replicas

Amazon DynamoDB global tables now support disassociating a replica without deleting its table or data. Global tables provide fully managed, multi-Region, multi-active replication. You can now stop replication to and from a replica and continue using the same table as a single-Region table.
An account can leave a shared multi-account global table and continue using its table independently. You can also stop replication to a Region while keeping its table for local workloads, validation, or audit, without creating a replacement table or copying data.
DynamoDB supports disassociating replicas in all AWS Regions for same-account and multi-account global tables that use multi-Region eventual consistency (MREC).
To get started, use the AWS Management Console, AWS CLI, DynamoDB API, or AWS CloudFormation. For more information, see Disassociating replicas in the Amazon DynamoDB Developer Guide.
Quelle: aws.amazon.com

Announcing Amazon ECS Gateway, a managed ingress solution for your ECS services

AWS announces Amazon Elastic Container Service (Amazon ECS) Gateway, a new resource that simplifies ingress networking for containerized applications by dynamically provisioning and managing Application Load Balancers (ALBs) and their supporting resources directly in your account.
With ECS Gateway, platform teams define organizational networking standards once on a gateway and associate it with one or more clusters, giving organizations a centralized way to govern how traffic reaches their ECS services. Application teams simply opt in to inherit those standards without requiring networking expertise. ECS Gateway offers host-based routing, allows up to 25 services to share an ALB to optimize infrastructure costs, and gives each service a unique Domain Name System (DNS) hostname. ECS manages the full lifecycle of the underlying infrastructure, provisioning the first ALB when your first service connects, adding more ALBs when capacity is reached, and removing them when no longer needed. You can inspect these resources and the gateway route to each service to see exactly how requests reach your applications. For traffic and health monitoring, you can use standard ALB metrics in Amazon CloudWatch and target health information from Elastic Load Balancing.
To get started, create an ECS Gateway, associate it with a cluster, and opt in your ECS service by adding the gateway connector parameter using the AWS Management Console, AWS CLI, API, AWS SDKs, or AWS CloudFormation. ECS Gateway is available for ECS services using the awsvpc network mode across all launch types. It is available now in all commercial AWS Regions at no additional charge. You pay only for the underlying infrastructure provisioned in your account when your services connect to the gateway. To learn more, refer to the AWS News blog and our documentation page.
Quelle: aws.amazon.com

AWS Transform for migrations expands support for existing landing zones

AWS Transform now supports more types of existing AWS environments when building landing zones for your migration, including AWS Control Tower landing zones and landing zones built with AWS Organizations. AWS Transform runs a foundation gap analysis of your current environment against AWS best practices and expands your landing zone on top of what’s already in your target accounts, so your team can start migrating sooner.
AWS Transform also now supports an Infrastructure as Code (IaC)-only mode for building landing zones for your migration. In this mode, AWS Transform analyzes your organization, generates recommendations, and produces IaC tailored to your migration plan in AWS CDK, Terraform, or Landing Zone Accelerator (LZA) format. IaC-only mode is designed for organizations that prefer not to grant AWS Transform direct access to their management account. AWS Transform can now connect through a delegated administrator (DA) account instead. It also benefits customers who manage their own deployment pipeline and don’t need the agent to deploy automatically.
The AWS Transform for migrations landing zone agent automates landing zone design end to end, including foundation setup, organizational unit (OU) and account structure, service control policies (SCPs), and workload accounts aligned to your migration planning and waves. You can deploy directly or generate IaC for your own pipeline.
These new capabilities are available in all target AWS Regions supported by AWS Transform for migrations.
To learn more, please visit the AWS Transform User Guide.
Quelle: aws.amazon.com

AWS Clean Rooms now supports Databricks as a data source

AWS Clean Rooms now supports Databricks as a data source, so collaboration members and their partners can securely analyze data managed in Databricks without moving or revealing the source data. Members query a Databricks table shared through Delta Sharing directly in a collaboration. Databricks joins AWS Glue, Snowflake, and Amazon Athena as supported data sources in AWS Clean Rooms.
Previously, members with data in Databricks had to export or replicate it into Amazon S3 to use it as a table in a collaboration, which added pipeline work and an extra copy of the data to govern. Now members can register a Databricks table directly by providing the workspace URL, schema, and table along with a Delta Sharing share, and make it available to a collaboration. For example, a retailer that manages its customer data in Databricks can collaborate with a media partner on campaign measurement in AWS Clean Rooms, running approved analyses against its Databricks data without first building and maintaining an export to S3.
AWS Clean Rooms helps companies and their partners easily analyze and collaborate on their collective datasets without revealing or copying one another’s underlying data. For more information about the AWS Regions where AWS Clean Rooms is available, see the AWS Regions table. To learn more about collaborating with AWS Clean Rooms, visit AWS Clean Rooms.
Quelle: aws.amazon.com

Structured outputs for Claude models available on Amazon Bedrock

Amazon Bedrock now supports structured outputs for all Anthropic Claude models across both the bedrock-runtime and the bedrock-mantle endpoint. Whether you call Claude through boto3 and the bedrock-runtime APIs or through the Messages API and the bedrock-mantle endpoint, you can now receive schema-compliant JSON responses that conform to a defined structure, without custom parsing, retry logic, or post-processing.
With structured outputs for Claude on Amazon Bedrock, you can automate reliable, schema-compliant tasks across industries. Examples include extracting every required field from financial earnings reports and compliance documents, parsing clinical notes into Electronic Health Records (EHR), and enriching product catalogs with consistent, validated results. You can also analyze contracts for key terms, parties, and obligations, or power intelligent support ticket routing where intents, sentiments, and entities always match your application’s data model.
To learn more, see the Amazon Bedrock documentation . Structured outputs is available where claude models are available. For more information check the regional availability details page.
Quelle: aws.amazon.com

AWS announces TorchNeuron: Native PyTorch Support for AWS Trainium (Public Beta)

Today, AWS launched the public beta of TorchNeuron, an open source native PyTorch backend for AWS Trainium. Trainium is a portfolio of AI chips designed to deliver high performance and cost efficiency for deep learning AI training and inference workloads. TorchNeuron enables AI scientists and researchers to experiment and build models with PyTorch natively on Trainium.
With TorchNeuron, developers can enable their PyTorch code on Trainium simply by switching to .to(‘neuron’) while maintaining full PyTorch compatibility with eager execution, torch.compile, and standard PyTorch APIs. Additionally, TorchNeuron integrates with Neuron Kernel Interface (NKI) to enable custom operators and performance optimization for Trainium hardware.
TorchNeuron is available as open source through the TorchNeuron github repo for Amazon EC2 Trainium2 instances and Amazon EC2 Trainium3 instances.
To learn more about TorchNeuron and AWS Trainium accelerators, visit the AWS Neuron page.
Quelle: aws.amazon.com

Polly Generative engine upgraded with more natural speech, 14 new voices, and 2 new languages

Today, we are introducing a new model behind the Amazon Polly Generative engine that delivers more natural-sounding, accurate speech output with low latency. With this upgrade, you get access to an enhanced voice portfolio with higher overall quality, 14 new voices across nine locales, and two new languages—Hindi and Finnish—now generally available on the Generative engine for the first time. New voices include Kenneth and Nate (US English), Russell and Curtis (Australian English), Kiara and Arjun (Hindi and Indian English), Tina (German), Carlos (US Spanish), Leo and Carolina (Brazilian Portuguese), Hyunduk (Korean), and Suvi (Finnish).
Amazon Polly is a fully managed service that turns text into natural-sounding speech. This drop-in model upgrade makes Generative voices more natural and accurate. Complex content such as numbers, email addresses, and street addresses is designed to sound more reliable, reducing the need to fine-tune speech output. You can continue to use Speech Synthesis Markup Language (SSML) tags to control speech output on the Generative engine, just as before. The low-latency streaming API makes it easy to build contact center experiences, chatbots, and large language model (LLM) based agentic voice applications for real-time conversations. The richness and variety of voice options are also well suited for news, media, entertainment, e-learning, and accessibility use cases. This launch also expands the Amazon Polly Generative offering to AWS GovCloud, providing more options for public sector and regulated industries.
All new Generative voices are now available in the following AWS Regions: US East (N. Virginia), US West (Oregon), Europe (Frankfurt), Europe (Zurich), Europe (London), Asia Pacific (Sydney), Asia Pacific (Seoul), Asia Pacific (Singapore), Asia Pacific (Tokyo), Canada (Central), and AWS GovCloud (US-West).
To hear how Polly voices sound, go to Amazon Polly Features. For more details on the Polly offerings and use, see the Amazon Polly documentation and pricing page.
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Grok 4.7 is now available on Amazon Bedrock in AWS GovCloud (US)

Amazon Bedrock now supports SpaceXAI Grok 4.7, a frontier model built for coding, agentic tasks, and knowledge work in AWS GovCloud (US).
Grok 4.7 builds on Grok 4.6 with better mixed-document handling, more dependable repo-scale coding with planning and error recovery, and enhanced browser-use agents for form fills and portal navigation.  
Get started with Grok 4.7 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 launch blog post.
Quelle: aws.amazon.com