All news with #aws tag

🛡️ Amazon Connect Customer now offers a permission that lets agents access only their own performance evaluations directly in the Connect UI. Agents can search for contacts where they received evaluations, view evaluations alongside call recordings and transcripts, and submit an acknowledgment after review. Administrators can grant department-level contact visibility for investigations while preventing access to peers' evaluation data. The feature is available in all AWS regions where Amazon Connect Customer is offered.

🖥️ Amazon EC2 X8aedz instances are now available in Europe (Ireland), powered by 5th Gen AMD EPYC processors delivering up to 5 GHz single-thread performance. Built on sixth generation AWS Nitro Cards, these instances are optimized for EDA workloads and relational databases that need high CPU frequency and large memory. They provide a 32:1 memory-to-vCPU ratio, sizes from 2–96 vCPUs with up to 3,072 GiB memory and up to 8 TB local NVMe, and are offered via Savings Plans, On-Demand, and Spot.

🔒 The PQC Readiness Scanner automates inventory and continuous monitoring of AWS-terminated TLS endpoints — Application Load Balancer (ALB), Network Load Balancer (NLB), and Amazon API Gateway — to evaluate TLS policies for Post-Quantum Cryptography (PQC) readiness. It classifies endpoints into a three-tier framework (Tier 1: PQ-ready, Tier 2: PQ-ready with backward compatibility, Tier 3: not PQ-ready) and returns COMPLIANT/NON_COMPLIANT results with policy recommendations. Built as an AWS Config conformance pack with custom rules and Lambda functions, it supports organization-wide deployment via CloudFormation StackSets and S3-hosted artifacts. The scanner reduces manual review, tracks migration progress across accounts, and helps prioritize upgrades to TLS 1.3 with PQC key exchange.

🛠️ The AWS Transform agentic AI assistant is integrated into the AWS Toolkit for Visual Studio, giving .NET developers an in‑IDE, conversational workflow to assess, plan, and execute application modernization. It provides visibility, checkpointing, interactive diffs, automatic build-fix attempts, detailed worklogs, and downloadable HTML reports while preserving context between the web console and Visual Studio. Agents are also accessible via Kiro and other AI coding environments and are available in multiple AWS Regions.

🔗AWS announced that RTB Fabric now supports custom domains for real-time bidding transactions received through external links. This enables AdTech companies to preserve existing public endpoints (for example, bid.company.com/path) by using their own DNS and CNAME records without forcing partners to reconfigure endpoints. Customers can create routing rules to map URL patterns to specific RTB Fabric links so demand- and supply-side platforms can route partner traffic seamlessly. The capability is available in all AWS Regions that support RTB Fabric and maintains low latency while reducing standard cloud networking costs.

🔒 The updated AWS User Guide to Governance, Risk, and Compliance for Responsible AI Adoption provides Financial Services customers practical GRC guidance for deploying AI responsibly. It covers governance, risk management, compliance, data and model management, and AI agent oversight, and maps these considerations to AWS capabilities. The guide highlights services such as Amazon Bedrock AgentCore, Bedrock Guardrails, Bedrock Agents, SageMaker Autopilot, and SageMaker Model Monitor. It complements existing AWS responsible AI and Well-Architected resources and is available on the AWS Whitepaper portal.

🗄️Amazon announced that Amazon FSx for OpenZFS now supports creating Multi-AZ file systems from participant accounts in shared VPCs, enabling organizations to decentralize storage administration while keeping network control centralized. Previously, participant accounts could only create Single-AZ file systems in shared VPCs and needed to own the VPC for Multi-AZ deployments. This change allows participant accounts to create any FSx for OpenZFS file system in a shared VPC across all Regions where the service is available, improving high availability and operational flexibility.

🔒 AWS announced the completion of PCI PIN and PCI P2PE assessments for AWS Payment Cryptography, expanding validations to include Key Management (KMCP) and Key Loading (KLCP) alongside the existing Decryption Management (DMCP). The coverage is extended to South America (São Paulo) and Asia Pacific (Sydney) Regions. These attestations allow customers to use PCI PTS HSM-certified, AWS-managed HSMs with compliant key management to simplify regulated deployments.

🔍 AWS Security Agent now offers a preview of full repository code review, an AI-driven capability that performs deep, context-aware analysis across entire repositories. It models application architecture, trust boundaries, and data flows rather than relying on pattern matching, and returns developer-ready findings with structured evidence and concrete remediation. The feature is designed to complement existing SAST tools and is available in preview at no additional charge while AWS solicits customer feedback.

🚀 Amazon EventBridge Scheduler expands its AWS SDK integrations with 619 new API actions across 13 additional services, including support for AWS Lambda Managed Instances. This update enables customers to schedule direct API invocations for a broader set of AWS services without writing custom integration code. As a serverless scheduler, EventBridge Scheduler can manage billions of scheduled events and now supports time-based scaling of Lambda managed instances for more precise capacity control. The enhancements are generally available in all Regions where Scheduler is offered, subject to target service availability.

🔒 AWS today introduced full repository code review in AWS Security Agent, a capability that performs deep, context-aware security analysis across entire codebases. Unlike traditional static scanners, it reasons about architecture, trust boundaries, and data flows to surface systemic vulnerabilities. When issues are identified, the scanner generates file- and line-specific remediation guidance and exploit proofs-of-concept to accelerate fixes; preview access is available at no extra charge in all Regions.

🔒 Amazon SageMaker Feature Store now supports the SageMaker Python SDK v3, providing modular APIs to manage feature groups with less boilerplate. Data scientists can enable Lake Formation access controls to enforce column- and row-level permissions on offline store data at feature group creation. The SDK also exposes Apache Iceberg table properties for configuring compaction and snapshot expiration to optimize storage and queries. Available in all AWS Regions where Feature Store is offered; install v3.8.0 or later to begin.

🔁 Amazon EKS now supports Amazon Application Recovery Controller (ARC) zonal shift and zonal autoshift when using the open-source Karpenter for compute provisioning. ARC automates redirecting in-cluster network traffic away from an impaired AZ and can perform practice runs to validate cluster behavior. During a zonal shift, Karpenter stops provisioning in the impacted AZ, halts voluntary disruptions there, and avoids scheduling actions that depend on that zone. Enable support by setting ENABLE_ZONAL_SHIFT.

🚀 Amazon Redshift RG instances are now generally available, delivering up to 2.4x faster analytics than RA3 and 30% lower price per vCPU. The RG generation embeds a vectorized data lake query engine that processes Apache Iceberg and Parquet on-cluster, eliminating the need for Redshift Spectrum's separate scan fleet and per-terabyte charges. Built-in capabilities include JIT Analyze, intelligent NVMe caching, smart prefetch, vectorized Parquet scans, and advanced file and partition pruning. RG launches in two sizes (rg.xlarge, rg.4xlarge) and supports Snapshot & Restore, Elastic Resize, and Classic Resize for migrations.

🚀Amazon CloudFront's Premium flat-rate plan now offers multiple self-service monthly usage tiers ranging from 500 million to 6 billion requests and 50 TB to 600 TB. Customers can select and change their tier in the CloudFront console with instant pricing and no commitment. All Premium features — including AWS WAF, DDoS protection, bot management, Amazon Route 53 DNS, Amazon CloudWatch Logs ingestion, serverless edge compute, and Amazon S3 storage credits — are included with no overage charges.

🔧 Amazon Connect Customer now lets developers embed Cases and Customer Profiles into custom agent interfaces through the Amazon Connect SDK. This integration surfaces case details, status, history, and consolidated customer context directly in agents' existing tools, reducing context switching and duplicate development. The SDK is available in all Regions where the service is offered; consult the administrator and developer guides to begin.

🔒 AWS outlines its approach to AI sovereignty, emphasizing customer control over data, deployment location, and access across the AI stack. It highlights infrastructure choices—AWS AI Factories, Outposts, Local Zones, Dedicated Local Zones, and the AWS European Sovereign Cloud—to meet regulatory and operational needs. AWS emphasizes technical protections like the AWS Nitro System, identity controls (IAM and Amazon Bedrock AgentCore Identity), and certifications such as ISO/IEC 42001 to reinforce transparency and trust.

🚀 Amazon now offers P5.48xl EC2 instances in SageMaker Studio notebooks across US West (San Francisco), Asia Pacific (Tokyo, Mumbai, Sydney, Jakarta), and Europe (London, Stockholm). These instances are powered by NVIDIA H100 Tensor Core GPUs and deliver up to 4x performance improvements and up to 40% lower training cost versus prior GPU generations. They are suited for training and serving complex LLMs, diffusion models, and other generative AI and HPC workloads. See the developer guides for setup with JupyterLab and CodeEditor and consult regional pricing for details.

🚀 Amazon Web Services announced general availability of Amazon EC2 G6 instances on SageMaker notebook instances in additional Asia Pacific (Tokyo, Mumbai, Sydney) and Europe (London, Paris, Frankfurt, Stockholm, Zurich) regions. G6 instances deliver up to 8 NVIDIA L4 Tensor Core GPUs with 24 GB per GPU and 3rd-generation AMD EPYC processors, offering roughly 2x inference performance over G4dn. Customers can use these instances for interactive model testing, generative AI fine-tuning, NLP, translation, computer vision, and recommender systems. Developer guides cover JupyterLab and CodeEditor setup on SageMaker Studio and notebook instances.

🚀 Amazon announces general availability of EC2 P6-B200 instances in AWS US East (N. Virginia) for use with SageMaker Studio notebooks. These instances feature eight NVIDIA Blackwell GPUs, 1440 GB of high-bandwidth GPU memory, and 5th Generation Intel Xeon (Emerald Rapids) processors, offering up to 2x training performance vs P5en. They enable interactive development and fine-tuning of large foundation models directly in JupyterLab or CodeEditor for generative AI workloads.