All news with #aws tag

🔍 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.

🚀 Amazon Web Services has announced general availability of Amazon EC2 P5.4xl instances for SageMaker Studio notebooks, powered by NVIDIA H100 Tensor Core GPUs. These instances offer up to 4x faster time-to-solution versus previous-generation GPU instances and claim up to 40% lower training cost for ML models. They are designed to accelerate training and deployment of demanding DL and HPC workloads, including large language models and diffusion models. P5.4xl is available now in select US, Asia Pacific, and South America regions, with developer guides and pricing details provided.

⚡ ENA Express now supports high-bandwidth traffic between Amazon EC2 instances in different Availability Zones within a Region, delivering up to 25 Gbps single-flow performance. The feature uses the AWS Scalable Reliable Datagram (SRD) protocol with multi-pathing and advanced congestion control to reduce head-of-line blocking. ENA Express establishes SRD connections automatically when both instances are enabled and supports TCP and UDP transparently. The capability is available at no additional cost across a broad set of Regions and instance types.

🚀 Amazon Web Services announced general availability of Amazon EC2 G6 instances for SageMaker Studio notebooks in the Middle East (Dubai) and Asia Pacific (Malaysia). G6 instances pair up to eight NVIDIA L4 Tensor Core GPUs (24 GB each) with third-generation AMD EPYC processors, delivering roughly 2× better deep-learning inference performance than G4dn. These instances support interactive model deployment and training for generative AI fine-tuning, NLP, vision, and recommender workloads. Refer to developer guides for JupyterLab and CodeEditor setup and the pricing page for cost details.

🚀 Amazon Web Services announced general availability of EC2 G6e instances on SageMaker Studio notebooks in Dubai, Tokyo, Seoul, Frankfurt, Stockholm and Spain. G6e instances provide up to 8 NVIDIA L40s Tensor Core GPUs with 48 GB per GPU and 3rd‑generation AMD EPYC processors, delivering up to 2.5× performance versus G5. They target interactive model testing, training and generative AI fine‑tuning, and can host LLMs up to 13B parameters as well as diffusion models for image, video and audio generation. Developer guides cover JupyterLab and CodeEditor setup; pricing is available on the AWS pricing page.

🚀 Amazon Web Services has announced the general availability of EC2 P4de instances on SageMaker Studio notebooks in Asia Pacific (Tokyo, Singapore) and Europe (Frankfurt). Each P4de packs eight NVIDIA A100 GPUs with 80GB HBM2e (640GB total), offering 2× the per‑GPU memory versus P4d. AWS reports up to 60% faster ML training and roughly 20% lower training cost compared to P4d, benefiting large high‑resolution datasets and reducing model training time. Developers can follow the SageMaker JupyterLab and CodeEditor guides and consult pricing for cost planning.

🚀 Amazon has expanded Aurora DSQL single-Region clusters to five additional AWS Regions: Hong Kong, Mumbai, Singapore, Stockholm, and Sao Paulo. The service offers serverless, distributed SQL with virtually unlimited scalability, high availability, and minimal infrastructure management. Aurora DSQL provides fast distributed reads and writes to simplify resilience and scaling for always-available applications. It is now available across 18 AWS Regions and is eligible for the AWS Free Tier.

🧬 AWS HealthOmics now supports caching completed task outputs when runs are cancelled, automatically storing those outputs in the customer’s S3 bucket. When caching is enabled, customers can restart runs from the point of cancellation and avoid recomputing tasks that already finished. This capability helps researchers, bioinformaticians, and workflow developers debug and iterate more efficiently. Caching is available for Nextflow, WDL, and CWL runs across all HealthOmics regions.

🌐 Amazon Route 53 Domains now supports registration and management of 34 new top-level domains, including .app, .dev, .health, and .realty. The addition broadens industry- and purpose-focused naming options for businesses, developers, and creative professionals. Users can register domains via the Route 53 console, AWS CLI, or SDKs with integrated DNS management and automatic renewal. Developers can also manage registrations programmatically using the AWS Agent Toolkit.