All news with #aws tag

🔒 Amazon Web Services publishes the AWS Security Reference Architecture (SRA) PCI DSS Deep Dive, providing prescriptive architecture-level guidance for organizations that store, process, or transmit cardholder data on AWS. The guide extends the core AWS SRA to map patterns to PCI DSS intent across account scoping, segmentation, encryption, logging, and access control. It includes downloadable diagrams and control mapping tables and can be used alongside SRA verify or with AWS Professional Services and partners for implementation.

🚀 Amazon SageMaker JumpStart now includes NVIDIA's Qwen3.6-35B-A3B-NVFP4 and Alibaba's Wan2.1-T2V-1.3B-Diffusers models, expanding available foundation models for AWS customers. Qwen3.6-35B-A3B-NVFP4 is a Mixture-of-Experts model optimized for agentic coding, multimodal and long-context reasoning, quantized to NVFP4 to reduce memory footprint while supporting very long context windows. Wan2.1-T2V-1.3B-Diffusers targets lightweight text-to-video generation, delivering 480p clips on consumer GPUs with modest VRAM requirements. Deployments are available via the SageMaker JumpStart model catalog or the SageMaker Python SDK.

🚀 Amazon SageMaker JumpStart now includes Ministral-3-3B-Instruct-2512 and Ministral-3-8B-Instruct-2512, two compact, vision-capable foundation models from Mistral AI designed for edge and resource-constrained deployments. These models offer multimodal understanding, multilingual instruction following, and native function calling, and can be deployed directly from the SageMaker JumpStart catalog or via the SageMaker Python SDK.

📣 Amazon SageMaker JumpStart now offers Google DeepMind’s Gemma-4-31B-it-assistant and NVIDIA-quantized Gemma-4-31B-IT-NVFP4, bringing the Gemma 4 31B dense architecture to enterprise workloads in full-precision and optimized 4-bit FP4 variants. The assistant-tuned model supports multimodal reasoning, large 256K-token contexts, and native function calling, while the NVFP4 variant reduces memory footprint and speeds inference for cost-efficient production. Deployments are available via the SageMaker console or Python SDK.

🆕 Amazon SageMaker JumpStart now includes three new foundation models: granite-speech-4.1-2b, kanana-2-30b-a3b-instruct, and OpenFold3. These models span multilingual ASR and speech translation, bilingual Korean–English instruction-following and agentic workflows, and all-atom biomolecular complex structure prediction. Customers can deploy these models directly from the JumpStart catalog or via the SageMaker Python SDK to accelerate AI use cases on AWS.

🛡️ A large-scale campaign is scanning internet-exposed Vite development servers to extract AWS and Azure credentials by exploiting CVE-2026-39364 in affected Vite versions. F5 detected over 800 attacks and ~32,000 events, observing attackers append parameters like ?raw or ?import&raw to bypass file access controls and retrieve sensitive files. The operation targeted environment files, cloud credential/config files, Terraform and serverless state, and system files, using traversal and encoding tricks for evasion.

🚀 Google Cloud announces enhancements to Dataflow to support large AI workloads, including GA of Pause/Resume for batch jobs and support for G4 VMs with NVIDIA RTX PRO 6000 Blackwell GPUs. Pause/Resume reduces wasted compute by enabling stopped batch jobs to be resumed, improving productivity and resource utilization. The new GPU support delivers larger memory and bandwidth for in-pipeline inference using models of 70B+ parameters while preserving native RunInference and autoscaling capabilities.

🔧 AWS Glue zero-ETL integrations now detect table property conflicts and track integration ownership. When you configure a source and target catalog, Glue assigns table properties to the owning integration so two integrations cannot target the same table without detection. This behavior spans Amazon S3 Tables and SageMaker Lakehouse catalogs and is available in all supported AWS Commercial and GovCloud (US) Regions.

🟢 AWS End User Messaging now supports dynamic WhatsApp flows so businesses can create interactive, in-chat experiences for customers. Instead of redirecting users to external pages, organizations can guide bookings, sign-ups, surveys, lead capture, and transactions directly within WhatsApp using templates or custom flows. Each screen can call your HTTPS endpoint in real time to surface live availability and personalized content, and flows are managed via AWS End User Messaging Social through the console or APIs.

📣 AWS End User Messaging now enhances SMS deliverability for customers using phone pools by providing automatic failover to the next best performing number when downstream disruptions occur. The service detects delivery delays, failures, and conversion drops, and reroutes traffic to optimized delivery paths without requiring customer action. This capability is available in all Regions where AWS End User Messaging is offered, and users can create phone pools if they do not already use them. See the SMS User Guide for more details.

🔒 AWS Elemental MediaLive introduces Video Aligned Locking to synchronize video pipelines without requiring source timecode. The feature uses visual signatures to detect and align specific frames across multiple streams, enabling frame-accurate input switching for standard and linked cross-region single-pipeline channels. Supported outputs include HLS, MediaPackage, CMAF Ingest, UDP and SRT, and the capability is available in all Regions where MediaLive operates. Documentation and implementation guides provide configuration and synchronization details.

🛠️ AWS DevOps Agent now enables engineers to manage production operations and the full investigation lifecycle directly within Slack. Teams can @mention the agent in connected private channels to initiate and steer investigations, with findings, recommended actions, and team context captured in a single thread. This reduces context switching during high-severity incidents and is available in all commercial AWS Regions where the agent is supported.

🔧 AWS Parallel Computing Service (AWS PCS) now supports custom Generic Resource (GRES) settings, hardware topology configuration, and NVIDIA Multi-Instance GPU (MIG), and upgrades to Slurm 26.05. These additions let Slurm autodetect NUMA domains as sockets, configure GPU core affinity and GPU interconnects, and enable finer control over task placement for HPC and ML workloads. Custom GRES and topology settings let administrators declare accelerators, partition GPUs with MIG, or override defaults for specialized scheduling.

🛠️ AWS announced that AWS Transform for .NET can automatically generate unit tests for modernized code. When enabled, the feature targets testable classes such as business logic and controllers and produces unit test code as part of the migration job. The generation is opt-in and available via the AWS Toolkit for Visual Studio in all Regions that support AWS Transform for .NET. To use it, run a .NET transformation in Visual Studio and choose to generate unit tests.

🔔 Amazon API Gateway now supports configurable delivery destinations and larger execution log events for REST APIs. Previously limited to a single API Gateway-managed CloudWatch Logs group with 1 KB truncation, execution logs can now be routed up to 1 MB to your own CloudWatch Logs groups, Amazon S3 buckets, or Amazon Data Firehose streams. You can deliver to multiple destinations simultaneously and choose structured formats like Apache Parquet for S3 or JSON for CloudWatch. This capability is available in all Regions where API Gateway REST APIs run, including AWS GovCloud (US), and log delivery is charged at vended logs rates.

🐧 Amazon MQ now supports RabbitMQ 4.3, introducing quorum queue enhancements including compaction, expanded strict priority support, native delayed retries, and configurable consumer timeouts. The release also brings bug fixes and memory management improvements. Some legacy features—Transient non-exclusive queues, Global QoS, and Classic queues v1 storage—are removed. The new broker version is available on m7g instances and Amazon MQ will manage patch upgrades automatically.

🔔 AWS has announced general availability of second-generation single-rack AWS Outposts, a self-contained 42U rack integrating compute, storage, and networking for low-latency and space-constrained environments. The rack delivers up to 2,688 vCPU and 100 TB of Amazon EBS storage and supports the latest x86-powered EC2 instances, including M7i, M8i, C7i, C8i, R7i, and R8i, as well as Outposts accelerated networking instances. It provides a consistent experience with multi-rack Outposts using the same APIs, console, automation, governance, and security controls across AWS Regions and on-premises locations.

🚀 Amazon OpenSearch Serverless is now available within v0 by Vercel, enabling rapid creation of full-stack search and AI applications using natural language prompts. The integration provisions and indexes data into OpenSearch Serverless collections automatically, removes infrastructure management, and supports full-text and vector search for RAG workloads. Developers can provision resources in new or existing AWS accounts across multiple global regions via the v0 interface.

🆕 Amazon Elastic Container Service (Amazon ECS) now supports IAM condition keys for CPU and memory on the RunTask and StartTask APIs, enabling administrators to enforce consistent resource limits across all task launch methods. Previously, ecs:task-cpu and ecs:task-memory were limited to RegisterTaskDefinition, CreateService, and UpdateService; the extension ensures IAM policy evaluation also applies when tasks are started with RunTask and StartTask. This change is available in all AWS Regions where ECS is offered at no additional cost, helping organizations prevent cost overruns and maintain resource-policy conformity.

🔔 Amazon Redshift RG instances, powered by AWS Graviton processors, are now available in the AWS Europe (Zurich) Region. RG instances deliver up to 2.4x better performance than previous-generation RA3 instances and offer a 30% lower price per vCPU. They include Redshift's custom vectorized data lake query engine for processing Apache Iceberg and Parquet on cluster nodes and support four sizes: rg.large, rg.xlarge, rg.4xlarge, and rg.12xlarge.