Cloud Computing Köln

Amazon CloudWatch Logs now supports Application Load Balancer logs

Amazon CloudWatch Logs now supports Application Load Balancer (ALB) logs as vended logs, improving observability and simplifying debugging for network traffic patterns. You can now analyze ALB access, connection and health check logs directly in CloudWatch to gain insights into client connections, traffic distribution, connection status and target health, helping you identify and troubleshoot network issues faster. Additionally, you can set up CloudWatch telemetry enablement rules to automatically configure logging of both existing and newly created ALB resources, for your organization, specific accounts, or specific resources, ensuring consistent monitoring coverage without manual setup. With this CloudWatch Logs integration, you can track detailed access patterns using CloudWatch Logs Insights queries, create metric filters for monitoring and alarming, and review traffic patterns in real time using Live Tail. ALB logs can be configured through the integrations tab of your application load balancer in AWS Management Console, AWS CLI, or SDKs. You can also configure delivery of ALB logs to Amazon Data Firehose or Amazon S3 with support for Apache Parquet format. ALB logs delivery to CloudWatch is available in all AWS Commercial and GovCloud regions where Application Load Balancer and CloudWatch are available. ALB logs are charged as vended logs when delivered to CloudWatch Logs and Data Firehose, while delivery to Amazon S3 is free (Parquet conversion is charged at $0.035/GB – N. Virginia). To learn more about configuring ALB logs in CloudWatch Logs, please visit our documentation. For pricing information, see CloudWatch pricing page.
Quelle: aws.amazon.com

AWS Lambda durable execution SDK for .NET is now generally available

Today, AWS announces the general availability of the AWS Lambda Durable Execution SDK for .NET, empowering C# developers to build resilient, long-running workflows using Lambda durable functions. With this SDK, developers can create multi-step applications like payment processing pipelines, AI agent orchestration, and human-in-the-loop approvals directly in their applications without implementing custom progress tracking or integrating external orchestration services. 
Lambda durable functions extend Lambda’s event-driven programming model with operations that checkpoint progress automatically and pause execution for up to a year when waiting on external events. The AWS Lambda Durable Execution SDK for .NET provides an idiomatic C# experience for building with Lambda durable functions. It includes steps for progress tracking, callback integration for human and agent-in-the-loop workflows, durable invocation for reliable function chaining, and waits for efficient suspension. The SDK installs from NuGet into the .NET toolchain you use today. The local testing emulator in the SDK enables developers to build and debug locally before deploying to production.
To get started, see the Lambda durable functions developer guide and the AWS Lambda Durable Execution SDK for .NET on NuGet. For Regional availability and pricing details, see the AWS Regional Services List and AWS Lambda Pricing.
 
Quelle: aws.amazon.com

AWS now supports automatic credit memo application preferences

AWS now enables customers who pay through electronic funds transfer to configure preferences for how credit memos are automatically applied to outstanding invoices. Customers can choose from different application preferences directly on the Billing and Cost Management console to match their internal payment processes. These options include combinations of applying credit memos to the original invoice, next eligible invoice, and oldest unpaid invoice. By default, credit memos are applied to the original invoice first, then to future invoices, unless a different preference is selected. Automatic credit memo application preferences are available in all commercial AWS Regions. To get started, visit the Payment Preferences page in the AWS Billing and Cost Management console. To learn more, see Managing balance application preferences. 
Quelle: aws.amazon.com

Announcing region expansion of G7e instances on SageMaker AI inference

We are pleased to announce the availability of Amazon EC2 G7e instances in Asia Pacific (Seoul), Europe (London), and Asia Pacific (Tokyo) on Amazon SageMaker AI inference. G7e instances feature up to 8 NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs with 96 GB of memory per GPU, 5th Generation Intel Xeon processors, and up to 1,600 Gbps of Elastic Fabric Adapter networking bandwidth, delivering up to 2.3x inference performance compared to previous-generation G6e instances. With this region expansion, you can now deploy inference endpoints on G7e instances closer to your end users in Asia and Europe, reducing latency for generative AI workloads. G7e instances provide up to 768 GB of total GPU memory on a single instance, enabling you to serve medium-to-large language models of up to 70B parameters with FP8 precision without multi-node configurations. These instances are well suited for LLM inference, image and video generation, spatial computing, and scientific computing workloads that require high GPU memory capacity and bandwidth. G7e instances for SageMaker AI inference are now available in Asia Pacific (Seoul), Europe (London), and Asia Pacific (Tokyo), in addition to previously supported regions. For pricing information on these instances, please visit our pricing page.
Quelle: aws.amazon.com

Claude Sonnet 5 is now available on Amazon Bedrock in AWS GovCloud (US)

AWS GovCloud (US) now offers Claude Sonnet 5 on Amazon Bedrock. Claude Sonnet 5 delivers strong performance across coding, professional work, and agentic tasks while maintaining the balance of capability, cost, and speed. For coding, it navigates large codebases, lands multi-file changes, and carries debugging and refactoring tasks through to completion with fewer rounds of correction. For agents, it calls tools precisely, holds state across many steps, and recovers from errors so more runs finish correctly the first time. For knowledge work, it builds spreadsheets, drafts documents, and turns unstructured material into structured analysis. 
With this launch, Claude Opus 4.8 and Claude Sonnet 5 are available on bedrock-runtime endpoints in AWS GovCloud (US-West and US-East) and bedrock-mantle endpoints in AWS GovCloud (US-West) for performing inference. Bedrock Mantle, Amazon Bedorck’s next-generation inference engine, supports the Anthropic Messages API. Amazon Bedrock keeps your data within AWS infrastructure and provides access to Claude Sonnet 5 through a unified service with AWS-managed features like Guardrails, Knowledge Bases, and regional data residency. To learn more, see the Amazon Bedrock documentation and regional availability. 
Quelle: aws.amazon.com