Cloud Computing Köln

Amazon GameLift Servers adds CPU burstability for container fleets

Amazon GameLift Servers now supports CPU burstability for container fleets, giving game developers greater flexibility in how compute resources are allocated and consumed at runtime. Previously, container fleets relied on a fixed CPU value that simultaneously controlled both container packing density and imposed a hard runtime cap. This dual constraint forced developers to choose between efficient resource utilization and maintaining performance headroom for their game server workloads.
Game server workloads are inherently bursty, CPU demand stays low during most of a match but spikes sharply during physics calculations, AI processing, or collision detection. With CPU burstability, developers can now pack containers based on typical CPU needs while still allowing game server processes to burst into available idle instance CPU during peak demand moments. This opt-in feature is configured per container group definition, supports high-density deployments without sacrificing peak performance, and is included at no additional cost as part of standard container fleet pricing.
CPU burstability for Amazon GameLift Servers container fleets is available in all AWS Regions where container fleets are supported, excluding China Regions.
To learn more about CPU burstability for Amazon GameLift Servers container fleets, visit the Amazon GameLift Servers Developer Guide or explore the Amazon GameLift Servers product page.
Quelle: aws.amazon.com

AWS Network Firewall adds wildcard support for container attribute filters

AWS Network Firewall now supports wildcard matching in container attribute-based inspection filters for Amazon Elastic Kubernetes Service (Amazon EKS) and Amazon Elastic Container Service (Amazon ECS). This enhancement allows you to define attribute filters using wildcard patterns to match multiple container workloads in a single rule, eliminating the need to create individual container associations for each variant.
With wildcard support, you can use patterns like app=payments-* to automatically cover all variants of an application, such as payments-api, payments-worker, and payments-cron. This simplifies firewall rule management for dynamic container environments where new application variants are frequently deployed, reducing operational overhead and ensuring consistent security coverage across your containerized workloads. 
Wildcard support for container attribute filters is available in all AWS Regions where AWS Network Firewall container attribute-based inspection is supported. For a full list of supported Regions, see the AWS Region Table.
To get started, visit AWS Network Firewall product page and service documentation. 
Quelle: aws.amazon.com

Amazon RDS for Oracle now supports minor version upgrade prechecks and a new RDS event to help reduce patching downtime

Amazon Relational Database Service (Amazon RDS) for Oracle now lets you run a minor version upgrade precheck yourself, before you start an upgrade or before your scheduled maintenance window. RDS for Oracle now also emits a new event during patching that tells you when your DB instance is accepting connections again. With this event, you can bring your applications back while the remaining maintenance tasks are still in progress, which can reduce your application downtime during patching.
At the start of every minor version upgrade, RDS for Oracle checks for conditions that would prevent the upgrade from completing, such as insufficient free storage, invalid Oracle-maintained objects, or invalid triggers. If a check finds a problem, the upgrade stops, and you must fix the problem and schedule the upgrade again. Previously, these checks ran only as part of the upgrade itself. With the new rdsadmin.rdsadmin_precheck_tasks.precheck_minor_upgrade procedure, you can run the checks at any time. The precheck is read-only and doesn’t affect your workload. It reports every issue it finds in a single log so you can fix them and run the precheck again until it passes before your maintenance window.
During a minor version upgrade or an operating system update, RDS for Oracle now emits RDS-EVENT-0596 as soon as your DB instance is accepting connections. Any remaining maintenance tasks then complete while your database is online. You can subscribe to this event through Amazon RDS event notifications or Amazon EventBridge to automate application reconnection or notify your teams that the database is back online.
These capabilities are available in all AWS commercial and AWS GovCloud (US) Regions where Amazon RDS for Oracle is available. To learn more, see Running minor version upgrade prechecks in Amazon RDS for Oracle, Amazon RDS event categories and event messages, and Monitoring Amazon RDS events in the Amazon RDS User Guide.
Quelle: aws.amazon.com

AWS Cost Explorer, Budgets, and Dashboards now support Amazon Bedrock product attributes

AWS Cost Explorer, AWS Budgets, and AWS Cost Management Dashboards now let you analyze Amazon Bedrock costs by product attributes, a new dimension that breaks down Bedrock cost by model, model provider, inference type, and feature. In Cost Explorer and Dashboards, you can group and filter costs by these attributes. In Budgets, you can filter budgets by the same attributes.
With this launch, finance and platform teams get a direct view of which models and workloads drive their Bedrock spend, and can act on it in the billing tools they already use. The attributes include model (such as Claude Sonnet 5 or Claude Haiku 4.5), model provider (such as Anthropic or Cohere), inference type (such as input tokens or output tokens), and feature (such as on-demand inference or reranker). You can combine product attributes with cost allocation tags on application inference profiles, projects, or workspaces to see which applications drive spend on each model, and with IAM principal tags to see which users or roles drive it. Group a month of Bedrock spend by model in Cost Explorer to find your most expensive models, build a dashboard widget that tracks cost per provider, or set a budget that alerts on spend for a single model.
The Amazon Bedrock product attribute dimension is available today at no additional charge in all AWS Regions, excluding the AWS GovCloud (US) Regions and the China (Beijing) and China (Ningxia) Regions. To learn more, see the user guides for Cost Explorer, Budgets, and Dashboards.
Quelle: aws.amazon.com

OpenAI GPT-6.1 Sol now supports Ultrafast mode on Amazon Bedrock

Today, AWS announces the availability of Ultrafast mode for GPT-6.1 Sol from OpenAI on Amazon Bedrock. Ultrafast mode provides faster inference for workloads where speed matters most. The Amazon Bedrock inference engine delivers the performance, security, and reliability required for production workloads.
Use GPT-6.1 Sol Ultrafast for latency-sensitive applications such as real-time coding assistants, interactive agents, and customer-facing experiences that require fast, high-quality responses. GPT-6.1 Sol helps developers build features, debug issues, investigate complex codebases, and complete multistep workflows. Established AWS controls help you secure workloads, govern access, and audit model invocation activity.
You can get started 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.
Quelle: aws.amazon.com