Monat: April 2026

Amazon CloudWatch RUM now available in AWS European Sovereign Cloud

Amazon CloudWatch RUM (Real User Monitoring) is a feature of Amazon CloudWatch that enables developers and operations teams to collect, view, and analyze client-side performance data from real end-user sessions in web and mobile applications. With its expansion to the AWS European Sovereign Cloud, customers operating under strict European data residency and sovereignty requirements can now monitor their web application performance without data leaving the sovereign boundary. This capability is designed for enterprises, public sector organizations, and regulated industries in Europe that require full control over where their data is stored and processed.
CloudWatch RUM helps teams proactively identify and resolve performance bottlenecks across both web and mobile applications by surfacing real-time metrics such as page load times, JavaScript errors, HTTP failures, and mobile-specific signals like crash rates and network latency — enabling faster root cause analysis and improved end-user experience. For example, a European public sector organization can use CloudWatch RUM within the AWS European Sovereign Cloud to monitor citizen-facing web portals and mobile apps while maintaining full data sovereignty compliance.
CloudWatch RUM in the AWS European Sovereign Cloud is available today in the EU Sovereign (eusc-de-east-1) region — to get started, visit the Amazon CloudWatch RUM documentation.
Quelle: aws.amazon.com

SageMaker JumpStart now offers optimized deployments for foundation models

SageMaker JumpStart now offers optimized deployments, enabling customers to deploy foundation models with pre-configured settings tailored to specific use cases and performance constraints. SageMaker JumpStart optimized deployments simplify model deployment by offering task-aware configurations that optimize for cost, throughput, or latency based on your workload requirements – whether content generation, summarization, or Q&A. This launch includes support for 30+ popular models from Meta, Microsoft, Mistral AI, Qwen, Google, and TII, with visibility into key performance metrics like P50 latency, time-to-first token (TTFT), and throughput before deployment.
With SageMaker JumpStart optimized deployments, customers can select from use case-specific configurations (such as generative writing or chat-style interactions) and choose optimization targets including cost-optimized, throughput-optimized, latency-optimized, or balanced performance. Models deploy to SageMaker AI Managed Inference endpoints or SageMaker HyperPod clusters with pre-set configurations that eliminate guesswork while maintaining full visibility into deployment details. Available models include Meta Llama 3.1 and 3.2 variants, Microsoft Phi-3, Mistral AI models including the new Mistral-Small-24B-Instruct-2501, Qwen 2 and 3 series including multimodal Qwen2-VL, Google Gemma, and TII Falcon3. All deployments leverage SageMaker’s VPC deployment capabilities, ensuring data control and production-ready infrastructure with enterprise-grade security. The feature is available in all AWS regions where SageMaker JumpStart is curretly supported.
To get started with optimized deployments, navigate to Models in SageMaker Studio, select your desired foundation model in the JumpStart Models tab, choose “Deploy,” and select your use case and performance optimization target. For details, visit the SageMaker JumpStart documentation. AWS is actively expanding support to include additional models.
Quelle: aws.amazon.com

Amazon Managed Grafana now supports creating Grafana 12.4 workspaces

Amazon Managed Grafana now supports creating new workspaces with Grafana version 12.4.  This release includes features that were launched as a part of open source Grafana versions 11.0 to 12.4, including Drilldown apps, scenes powered dashboards, variables in transformations, visualization enhancements, and new features with the Amazon CloudWatch plugin.
Queryless Drilldown apps enable customers to perform point-and-click exploration of Prometheus metrics, Loki logs, Tempo traces, and Pyroscope profiles. The Scenes-powered rendering engine boosts dashboard performance. Amazon CloudWatch Logs adds support for PPL and SQL queries, cross-account Metrics Insights, and log anomaly detection. The rebuilt table visualization improves performance with CSS cell styling and interactive Actions buttons, while trendline transformations and navigation bookmarks enhance data exploration. Grafana 12.4 is supported in all AWS regions where Amazon Managed Grafana is generally available.
You can create a new Amazon Managed Grafana workspace from the AWS Console, SDK, or CLI. To explore the complete list of new features, please refer to the user documentation. Follow the instructions here to create workspaces with version 12.4. To learn more about Amazon Managed Grafana features and its pricing, visit the product page and pricing page.
Quelle: aws.amazon.com

AWS Deadline Cloud announces AI-powered troubleshooting assistant for render jobs

Today, AWS Deadline Cloud announces an AI-powered troubleshooting assistant that helps you quickly diagnose and resolve render job failures. AWS Deadline Cloud is a fully managed service that simplifies render management for computer-generated 2D/3D graphics and visual effects for films, TV shows, commercials, games, and industrial design. Render job failures from missing assets, software errors, configuration mismatches, and resource constraints can stall production pipelines and waste compute resources. Previously, diagnosing these issues required specialized technical staff to manually parse logs and identify root causes — a process that is time-consuming, difficult to scale, and often unavailable to smaller studios. The new Deadline Cloud assistant investigates failed jobs you identify, analyzes logs and metrics, detects common issues, and provides troubleshooting recommendations based on industry best practices and a pre-trained knowledge base covering Deadline Cloud, common render farm issues, and popular digital content creation applications including Autodesk Maya, 3ds Max, VRED, Blender, SideFX Houdini, Maxon Cinema 4D, Foundry Nuke, and Adobe After Effects. The assistant runs within your AWS account using Amazon Bedrock, keeping all data and analysis within your control. The Deadline Cloud assistant is available today in all AWS Regions where AWS Deadline Cloud is supported. Watch a demo on YouTube to see it in action, or visit the AWS Deadline Cloud documentation to learn more.
Quelle: aws.amazon.com

Introducing Amazon EC2 C8in and C8ib instances

AWS is announcing the general availability of Amazon EC2 C8in and C8ib instances powered by custom, sixth generation Intel Xeon Scalable processors, available only on AWS. These instances feature the latest sixth generation AWS Nitro cards. C8in and C8ib instances deliver up to 43% higher performance compared to previous generation C6in instances. C8in and C8ib instances deliver larger sizes and scale up to 384 vCPUs. C8in instances deliver 600 Gbps network bandwidth—the highest among enhanced networking EC2 instances—making them ideal for network-intensive workloads like distributed compute and large-scale data analytics. C8ib instances deliver up to 300 Gbps EBS bandwidth, the highest among non-accelerated compute instances, making them ideal for high-performance commercial databases and file systems.
C8in instances are available in US East (N. Virginia), US West (Oregon), Asia Pacific (Tokyo), and Europe (Spain) regions. C8ib instances are available in US East (N. Virginia) and US West (Oregon). Both, C8in and C8ib instances are available via Savings Plans, On-Demand, and Spot instances. For more information, visit the Amazon EC2 C8i instance page.
Quelle: aws.amazon.com