All news with #aws tag

🔔 AWS Deadline Cloud now automates delivery of plugins to cloud workers for service-managed fleets. Previously requiring custom scripts or manual setup per DCC application and version, you can now upload plugin files to a specific path in your queue's job attachments Amazon S3 bucket and Deadline Cloud will sync them to workers at job start. This feature is GA for Blender and Autodesk Maya and is available in all Regions where the service is offered.

🔐 This post introduces the new inbound federation Lambda trigger for Amazon Cognito, which intercepts external IdP responses so you can transform, filter, and enrich attributes before a user profile is created. It explains how the trigger receives SAML and OIDC attributes, and outlines common B2B and B2C problems such as oversized group lists and duplicate accounts from different social sign-ins. The article shows how to normalize group attributes, filter excessive data, and implement automated account linking to maintain a single primary identity. It also covers performance and error-handling best practices for Lambda functions.

🔔 Amazon MQ for RabbitMQ is now available in the AWS European Sovereign Cloud (Germany) Region, an independent cloud located fully within the EU to help regulated and public sector customers meet sovereignty requirements. Amazon MQ is a managed message broker service that handles provisioning, patching, and maintenance so you can focus on applications. This launch supports RabbitMQ engine 4.2 and Graviton3-based m7g instance types from m7g.medium to m7g.16xlarge for high-performance messaging.

🛠️ The Amazon Bedrock console has been redesigned to match real-world model development workflows: experiment, iterate, and scale. The refreshed UI centers on the bedrock-mantle endpoint and is compatible with the OpenAI Responses API, OpenAI Chat Completions API, and the Anthropic Messages API. Users can browse and compare models, create projects to run evaluations, and get project-aware code snippets prefilled with model ID, region, endpoint URL, and API key references. The new experience is available in all Regions where the bedrock-mantle endpoint is offered.

🔧 AWS IoT Device Management now surfaces MQTT session data in its connectivity status API, helping teams troubleshoot device connectivity and audit connection patterns across IoT fleets. The update provides session timeout and expiry values and, optionally, socket-level details like source/destination IPs, ports, and client VPC endpoint IDs. Access to socket information is controlled by granular IAM policies. The API keeps connection records indefinitely, exceeding the 30-minute retention of AWS IoT Core's GetConnection API.

🤖 AWS Step Functions now integrates with the Amazon Bedrock AgentCore managed harness (preview) to add AI agent reasoning steps to workflows. The integration lets you declare agents via configuration, run agents in parallel or sequence, add human approvals, and view execution history with agent inputs, outputs, token usage, and CloudWatch links. You can reuse or create harnesses from Workflow Studio, apply per-invocation overrides, and persist agent context with session IDs. The harness preview and integration are available in select regions and standard Step Functions and Bedrock pricing applies.

🛡️ Amazon Bedrock now offers OpenAI GPT‑5.4 in AWS GovCloud (US‑West), enabling government and regulated industry customers to use OpenAI's most capable frontier model with the security and compliance of GovCloud. GPT‑5.4 delivers native computer-use capabilities and advanced reasoning across coding, documents, and multi-step agentic tasks, running on Bedrock's high-performance inference engine. Data remains in-partition and is not used to train models.

🛠️ AWS Compute Optimizer now supports extending the default 14-day lookback period to 32 days for Amazon EBS volume and Amazon ECS service rightsizing recommendations at no extra cost. The longer lookback captures monthly utilization patterns such as month-end processing to improve optimization decisions for cost and performance. The 32-day option is available for EC2 instance, EC2 Auto Scaling group, RDS database, EBS volume, and ECS service recommendations. You can set the lookback at organization, account, or resource level via the console, AWS SDK, or AWS CLI, and it’s available in all AWS Regions where Compute Optimizer is offered except GovCloud (US) and China.

🔔 Amazon Application Recovery Controller (ARC) Region switch introduces three new execution blocks: Amazon Aurora serverless scaling, Amazon Aurora provisioned scaling, and Amazon Neptune global database failover. These blocks automate database scaling and failover for multi-Region workloads, eliminating manual steps that add recovery time. They support cross-account orchestration so a single plan can coordinate operations across multiple accounts and Regions.

🔔 Amazon Keyspaces (for Apache Cassandra) now includes an iterator position in the GetRecords response for CDC streams, indicating whether a consumer is AT_TIP or BEHIND_TIP. This enables consumers to reduce unnecessary polling and lower CDC consumption costs by adjusting polling frequency based on stream position. The feature is available in all Regions where Keyspaces CDC is supported and requires the latest AWS SDK.

🔧 Amazon SageMaker Unified Studio now offers a localized user interface in twelve languages, including Simplified and Traditional Chinese, French, German, Japanese, Korean, Spanish, Portuguese (Brazilian), Italian, Indonesian, Turkish, and American English. Language selection is automatic via the browser or manually set through the profile Language selector, and the choice applies across the entire studio. This localization is available in all AWS Regions where SageMaker Unified Studio is offered and supports both AWS IAM Identity Center-based and IAM-based domains.

🔔 AWS Config now supports nine additional AWS resource types across Amazon Bedrock, Amazon Bedrock AgentCore, and Amazon SageMaker. This update expands visibility and governance, allowing you to discover, assess, audit, and remediate a broader set of resources. If you record all resource types, AWS Config will automatically begin tracking these additions, and they are available for use in Config rules and Config aggregators. The newly supported resource types are listed for monitoring in all Regions where the services are available.

🚀 Amazon ECS Managed Instances now supports AWS Trainium and AWS Inferentia accelerators, enabling scalable training and inference for generative AI workloads. This fully managed compute option offloads infrastructure operations to AWS while preserving the full capabilities of Amazon EC2. You can select Inferentia2, Trainium1, or Trainium2 when creating a capacity provider and set NEURON_CORE=all to allocate the accelerator per task. Management charges apply in addition to standard EC2 costs.

✅ Amazon RDS for Db2 now supports IBM Db2 v12.1, including Db2 Standard, Db2 Advanced, and the Db2 Community Edition. Db2 Community Edition offers the same features as Standard and Advanced without commercial licensing charges for development and test use. To use it, obtain a free IBM Customer ID and create instances via the Amazon RDS console. The new support is available in all Regions where Amazon RDS for Db2 is offered.

🔔 Amazon Connect Customer now delivers real-time dashboard alerts when specified keywords, phrases, or sentiment patterns arise during live calls and chats. Supervisors can listen to live conversations, view real-time transcripts and sentiment analysis, and coach agents via chat to address issues such as cancellation requests before customers churn. The feature is available in all AWS commercial and AWS GovCloud (US-West) regions offering conversational analytics.

🔔 AWS now supports Kubernetes version 1.36 in Amazon EKS and Amazon EKS Distro. You can create new clusters or upgrade existing ones using the EKS console, eksctl, or infrastructure-as-code tools across all AWS Regions, including GovCloud. Key features in 1.36 include GA User Namespaces, Mutating Admission Policies for CEL, In-Place Pod-Level Vertical Scaling, and Resource Health Status reporting. EKS Distro images are available in ECR Public Gallery and GitHub, with documentation covering upgrade guidance and lifecycle policies.

🔒 AWS Config now supports internal service linked rules, allowing AWS services to evaluate resource configurations using AWS Config managed rules. These rules let AWS services like AWS Security Hub CSPM deploy and manage service-specific evaluations, with results sent directly to the deploying service. Evaluations occur at no charge from AWS Config and run independently of customer-managed recorders and rules, preserving existing inventory and compliance workflows. The feature is available in commercial, GovCloud, and China Regions.

🔧 AWS Deadline Cloud now supports persistent storage for Service-Managed Fleets (SMF), enabling data retention across worker lifecycle events. Previously, SMF workers used ephemeral storage and required reinstalling software and assets after recycling. Now Deadline Cloud attaches persistent Amazon EBS volumes to SMF workers to preserve Conda environments, Perforce workspaces, shader caches, and asset collections, reducing startup time. You can configure volume counts per worker and set TTLs to balance retention and cost; availability and pricing match existing SMF EBS offerings.

🚀 Microsoft announced early access preview of Azure Cobalt 200 Arm-based VMs at Build 2026, delivering up to 50% generational performance improvements over Cobalt 100 for agentic AI and cloud-native Linux workloads. The Cobalt 200 SoC, built on Arm Neoverse V3 and TSMC 3nm, features chiplets, custom accelerators, and enhanced memory and security capabilities. New VM families (including high-memory and dense local storage) expand deployment choices and are available in selected preview regions.

🔧 Amazon SageMaker Studio's quick setup now completes in under twenty seconds, down from over two minutes, letting users rapidly move from sign-in to a fully configured Studio environment. Newly created Studio environments automatically receive serverless model customization permissions via a new managed policy, AmazonSageMakerModelCustomizationCoreAccess, enabling fine-tuning, evaluation, and deployment without manual IAM role configuration. Existing environments receive actionable guidance to add the permissions. The feature is available in all AWS Commercial Regions that support SageMaker Studio.