Cloud Computing Köln

Claude Opus 5.5 is now available on AWS

AWS now offers Claude Opus 5.5, Anthropic’s most capable Opus model yet and, the first of the Claude 5.5 model family, a better collaborator that handles long-running coding and knowledge work, reporting back clearly on what it did, what it found, and what it needs next.
According to Anthropic, Claude Opus 5.5 completes tasks using fewer tokens than Claude Opus 5, at a lower price per token, with cheaper cache reads stacking on top of the efficiency gain. Claude Opus 5.5 is the enterprise workhorse, a clear step up from Opus 5 on the work teams count on Opus to do. It handles long-running coding and knowledge work, and reports back like a good teammate, surfacing what it did, what it found, and what it needs from you. It thinks adaptively on every request, deciding how much effort each task needs.
Customers have two ways to access Claude Opus 5.5: Amazon Bedrock and Claude Platform on AWS: Amazon Bedrock gives you Opus 5.5’s advanced capabilities with zero data retention (ZDR) support by default. It keeps your data within AWS infrastructure with regional data residency and provides access through a unified service with AWS-managed features like Guardrails and Knowledge Bases. To learn more, see the Amazon Bedrock documentation and regional availability.
Claude Platform on AWS gives you direct access to Anthropic’s native platform experience and capabilities via the AWS Console. Build, test, and deploy with the same APIs, features, and console experience you’d get working with Anthropic directly, unified with AWS billing and authentication. To get started, see the Claude Platform on AWS documentation.
Quelle: aws.amazon.com

OpenAI GPT-6 Sol and GPT-6 Luna are now generally available on Amazon Bedrock 

Today, AWS announces the general availability of GPT-6 Sol and GPT-6 Luna from OpenAI on Amazon Bedrock. Expanding the GPT-6 family alongside Astra, these two models give teams more ways to balance intelligence, speed, and cost across every workload. Sol is the daily model for recurring complex tasks and software development. On an internal OpenAI factuality evaluation, it makes roughly half as many mistakes as GPT-5.6 Sol. Luna is the family’s most efficient model for focused, high-volume tasks such as summarization, extraction, classification, and routing. Both models support up to 1M tokens of context. The Amazon Bedrock inference engine delivers the performance, security, and scale required for production workloads.
GPT-6 Sol can implement features, debug issues, review and refactor code, analyze data, and complete multistep workflows across tools. Improvements in coding and computer use help it carry tasks from investigation through validation. GPT-6 Luna handles high-volume workloads like extraction, summarization, classification, and routing, with adjustable reasoning effort to balance quality, speed, and cost per request. Established AWS controls help you secure workloads, govern access, and audit model invocation activity.
You can get started with GPT-6 Sol and GPT-6 Luna 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 EVS now in scope for FedRAMP Class C

The Amazon Elastic VMware Service (EVS) service is now in scope for FedRAMP Class C (formerly Moderate baseline) in all United States Regions. 

The  Federal Risk and Authorization Management Program (FedRAMP) is a US government-wide program that delivers a standard approach to the security assessment, authorization, and continuous monitoring for cloud products and services. Amazon EVS lets you run the latest VMware Cloud Foundation (VCF) software directly within your Amazon Virtual Private Cloud (VPC) on EC2 bare-metal instances. You can set up a complete VCF environment in just a few hours, enabling rapid workload migration to AWS to help you eliminate aging infrastructure, reduce operational risks, and meet critical timelines for exiting your data center.

To learn more, visit the FedRAMP AWS services in scope page. To learn more about Amazon EVS, visit the product detail page and user guide. 
Quelle: aws.amazon.com

Amazon ECS now provides real-time deployment observability in the AWS Management Console

Amazon Elastic Container Service (Amazon ECS) now provides real-time service deployment observability in the Amazon ECS Console for native Linear, Canary, and Blue/Green deployment strategies. With this launch, deployment monitoring and troubleshooting come together in one place in the console, so you can track deployment progress, monitor health, and diagnose failures without switching between tools.
Real-time service deployment observability includes a live deployment timeline that narrates each service deployment as it happens, showing every deployment phase, service events, and task launch and termination progress, always reflecting the current state. As a deployment moves forward, you can follow the traffic shift distribution across your source and target revisions and see the current lifecycle stage at a glance, whether it is scaling up green tasks, waiting on a lifecycle hook, or sitting through bake time. Deployment health signals that you would otherwise gather from separate tools now sit alongside the timeline: circuit breaker status with live task failure and threshold tracking, deployment alarm state, container and load-balancer health checks, and lifecycle hook status. When something goes wrong, failed tasks surface right in the timeline with diagnostic context and deep links to services such as AWS CloudTrail, so you can pinpoint the root cause and act on it quickly.

These capabilities are available at no additional charge in all AWS commercial Regions, and AWS GovCloud (US) Regions for all Amazon ECS services using the Amazon ECS native Linear, Canary, and Blue/Green deployment types. To get started, navigate to any Amazon ECS service in the Amazon ECS Console and select the Deployments tab.
Quelle: aws.amazon.com