AWS IAM Identity Center Enables Cross-Region Trusted Identity Propagation
AWS expanded identity propagation to work across Regions, improving multi-Region application architectures with granular user access.
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AWS expanded identity propagation to work across Regions, improving multi-Region application architectures with granular user access.
Amazon ECS added NVIDIA Multi-Process Service support to run multiple GPU tasks concurrently on a single GPU instance efficiently.
Amazon SageMaker MLflow Apps integrated MLflow 3.16, featuring a redesigned trace explorer and faster experiment tracking for AI workflows.
Amazon Connect Customer enhanced agent productivity with integrated document previews in the agent workspace.
Aurora Serverless expanded maximum capacity to 384 ACUs, enabling greater memory and compute for bursty AI workloads.
ElastiCache extended data tiering to newer Graviton-based node types across additional global regions, enhancing cost-efficient large dataset scaling.
ElastiCache added flexibility to enable or disable durability in-place, supporting varied persistence needs without cluster replacement.
Amazon released updated patch versions of Corretto distributions maintaining production readiness for OpenJDK environments.
Neptune database introduced online index rebuilding to defragment indexes and improve performance without downtime.
Bedrock enabled inference confined within Canadian Regions to meet strict data residency for Anthropic's Claude Haiku 5.5 model.
Amazon Elastic Container Registry enhanced its replication capability to include existing images.
AWS launched OpenAI's GPT-6.1 Terra on Amazon Bedrock, balancing performance and cost for diverse workloads.
AWS enabled volume size and performance adjustments on Amazon WorkSpaces Core Managed Instances via the ModifyVolume API.
Amazon Interactive Video Service introduced a failover slate to maintain viewer experience during stream interruptions.
SageMaker Unified Studio extended light mode interface support to Identity Center-based domains, enhancing user customization.
Amazon Connect Customer added capabilities to verify action outcomes during interaction simulation and testing.
Amazon Connect Customer introduced metrics segmentation by customer lifetime value and repeat caller status to refine insights.
Amazon Connect Customer began scoring interactions based on customer satisfaction, churn risk, purchasing, and self-service success.
MediaConnect Router added an endpoint registry for registering and managing external device connections across AWS accounts.
AWS Key Management Service integrated the Module-Lattice-Based Key-Encapsulation Mechanism for quantum-resistant key exchange.
AWS Transform expands options for network migration to AWS by enabling new network creation and optimized security group conversion.
AgentCore Gateway expands support for Amazon Bedrock InvokeModel APIs enabling unified model access with automatic fallback routing.
Lambda MicroVMs launched in four new AWS Regions, providing stateful, fast-launch serverless VMs near end users.
Amazon Quick's AI-driven workplace assistant becomes accessible in Singapore with data processed locally.
New controls for Amazon Bedrock Web Search enable precise result customization by domain and geography.
Amazon Connect Customer Global Resiliency now supports chat history persistence across linked AWS Regions.
New 1:1 NAT support on AWS Transit Gateway and Cloud WAN attachments resolves IP address overlap challenges.
Amazon Corretto publishes latest OpenJDK updates across multiple Long-Term Support versions.
Amazon Managed Workflows for Apache Airflow expands provisioned environment support to Mexico Central.
Amazon EMR on EKS lowers EMR charge component to reduce Apache Spark workload costs on Kubernetes.
Amazon Connect Customer Profiles introduced customizable displays for agent workspaces, tailoring data visibility based on agent roles.
AWS Continuum became generally available, offering AI-driven discovery to remediation of code vulnerabilities within AWS environments.
Amazon OpenSearch Serverless introduced fully managed intelligent ingestion transforming Amazon S3 logs and documents into searchable indexes.
Amazon OpenSearch Serverless accelerated search visibility by halving default refresh intervals to 5 seconds across collections.
AWS CloudFormation introduced a force rollback feature streamlining recovery from failed stack updates.
Amazon SageMaker AI released training session APIs to allow detailed, serverless control over model customization training loops.
AWS enhanced its Direct Connect facility near Bangalore with 100 Gbps dedicated network connections for private AWS access.
Amazon MSK Connect added capability to pause and later resume Kafka connectors, improving operational flexibility and troubleshooting.
AWS launched a preview of AWS Interconnect - last mile, enabling simplified private connectivity to AWS via Megaport’s global SDN.
SageMaker AI added serverless customization support for Muse Glimmer, Qwen 3.8, and Ministral 3 models, enhancing domain-specific fine-tuning capabilities.
AWS introduced automated migration assessments that simplify evaluating on-premises storage for AWS service migration.
AWS enhanced machine-readable service metadata to support automation and accuracy in IAM policy development.
AWS enhanced dedicated network connectivity in Manchester with higher bandwidth and encryption capabilities.
New reservations help guarantee compute resources for critical database operations in Amazon Aurora and RDS.
Cognito's user data replication now covers AWS GovCloud regions to boost authentication availability and compliance.
Beam, an open-weight AI model for reasoning and coding, is integrated into SageMaker AI with Trainium optimization.
New Neuron release adds PyTorch backend, health monitoring, and expanded kernel capabilities for AWS Trainium.
Two new user interface layouts improve screen utilization tailored to contact center agent workflows.
S3 server access logs can now be delivered to CloudWatch Logs in AWS GovCloud, European Sovereign Cloud, and China Regions.
SageMaker AI now lets users adjust sequence length parameters to better fit varied training data during model customization.
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