All news with #product update tag

🤖 Amazon SageMaker Catalog now provides automated data classification that suggests business glossary terms during dataset publishing to reduce manual tagging and improve metadata consistency. The capability leverages Amazon Bedrock language models to analyze table metadata and schema and recommend relevant business and sensitive-data terms from organizational glossaries. Data producers receive AI-generated suggestions they can accept or modify before publishing, helping standardize vocabulary and improve data discoverability. The feature is available in multiple AWS regions and can be managed via SageMaker Unified Studio, the AWS CLI, or SDKs.

🚀 AWS announced a major expansion of its AI Competency, validating 60 partners across three new Agentic AI categories: Agentic AI Tools, Agentic AI Applications, and Agentic AI Consulting Services. The launch includes an AI agent in AWS Partner Central to provide immediate feedback and speed specialization approvals. Validated partners demonstrate production-grade capabilities using services such as Amazon Bedrock AgentCore, Strands Agents, and Amazon SageMaker AI, and must meet AWS standards for security, reliability, and responsible AI.

🔒 AWS now enables AWS Clean Rooms to generate privacy-enhancing synthetic datasets for training regression and classification ML models without exposing raw records. The capability de-identifies subjects in the original data and reduces the risk of models memorizing sensitive information, allowing partners to collaborate on model training while preserving privacy. Typical use cases include campaign optimization, fraud detection, and medical research.

🧭 Amazon CloudWatch launched an AI-powered incident report generator that guides teams through a Five Whys root-cause analysis using a chat-based workflow powered by Amazon Q. The feature combines human inputs and automated analysis of incident data to recommend specific remediation and prevention measures. It is available at no additional cost in multiple AWS regions. To use it, create a CloudWatch investigation, click "Incident report," then select "Guide Me" in the Five Whys section.

🔗 AWS Marketplace now supports solution-centric procurement via multi-product solutions. Partners, including ISVs and System Integrators, can bundle their own software and services with products they are authorized to resell, while each component retains distinct pricing and terms. Customers gain a single point of contact for negotiation, consolidated procurement, and the ability to manage renewals and term lengths for each component independently. This capability is available across all AWS Regions that operate AWS Marketplace and supports SaaS, Server, AI Agents and Tools, Machine Learning, and Professional Services.

⚡ AWS Glue now supports materialized views stored in Apache Iceberg format and managed in the AWS Glue Data Catalog. Data teams can create views with standard Spark SQL, attach a refresh schedule, and rely on automatic change detection, incremental updates, and managed compute for refresh jobs. Query engines across Athena, EMR, and AWS Glue rewrite queries to use these views, improving performance by up to 8x and lowering compute costs, while SQL tools like Redshift and SageMaker can read the Iceberg tables directly.

🔎 AWS Marketplace introduced Agent mode and AI-enhanced search to speed solution discovery across 30,000+ listings. Agent mode provides a conversational procurement assistant that ingests use cases and uploaded requirements to deliver tailored recommendations and dynamic side-by-side comparisons. Users can refine results through dialogue, generate downloadable purchasing proposals, and initiate purchases directly. AI-enhanced search supplies contextual results with AI-generated summaries, adaptive categories, and AWS Specializations badges to spotlight validated partners.

📢 AWS Marketplace now offers variable payments, a general-availability billing option that lets professional services sellers invoice customers as work is delivered while enforcing a predetermined contract cap. Sellers can create private offers and submit payment requests tied to outcomes, milestones, or time-and-materials. Customers receive email notifications and can approve each request manually or enable auto-approval for streamlined processing. The feature increases engagement flexibility and buyer transparency and reduces the need for full upfront payments or rigid installment schedules.

🔍 AWS has announced general availability of multimodal retrieval in Amazon Bedrock Knowledge Bases, enabling unified search across text, images, audio, and video. The managed Retrieval Augmented Generation (RAG) workflow provides developers full control over ingestion, parsing, chunking, embedding (including Amazon Nova multimodal), and vector storage. Users can submit text or image queries and receive relevant text, image, audio, and video segments back, which can be combined with the LLM of their choice to generate richer, lower-latency responses. Region availability varies by feature set and is documented by AWS.

🛡️ AWS and CrowdStrike have launched an automated integration experience for CrowdStrike Falcon Next-Gen SIEM in AWS Marketplace that streamlines cloud-native security monitoring. The guided wizard automates connector configuration and provisions least-privilege IAM roles, Amazon SQS queues, EventBridge rules, and SNS topics. Security teams can quickly enable agentic AI-assisted investigation, advanced correlation, and automated response across their AWS Organization, and subscribe via new pay-as-you-go pricing.

🔧 AWS has expanded its Resilience Competency to include Technology Partners, enabling customers to identify validated software for high availability and recovery. The program evaluates solutions across Design, Recovery, and Operate categories through expert technical validation to meet strict performance and operational requirements. Qualified partners and solutions are discoverable via the AWS Resilience Competency and purchasable through AWS Marketplace, aligning with AWS's shared responsibility model. This aims to help organizations build always-on applications with lower cost and higher availability than on-premises alternatives.

⚡ Amazon SageMaker HyperPod now offers Managed Tiered KV Cache and Intelligent Routing to optimize LLM inference for long-context prompts and multi-turn conversations. The two-tier cache combines local CPU memory (L1) with disaggregated cluster storage (L2) — with AWS-native tiered storage recommended and Redis optional — to reuse computed key-value pairs and reduce recomputation. Intelligent Routing directs requests using prefix-aware, KV-aware, or round-robin strategies, while built-in observability integrates with Amazon Managed Grafana and deployment is enabled via InferenceEndpointConfig or SageMaker JumpStart.

🛠️ Amazon SageMaker HyperPod now supports custom Kubernetes labels and taints configured at the instance group level via the CreateCluster and UpdateCluster APIs. You can specify up to 50 labels and 50 taints per instance group using the KubernetesConfig parameter. HyperPod automatically applies and preserves these settings across node creation, replacement, scaling, and patching, eliminating manual kubectl work and ensuring device plugin pods (EFA, NVIDIA) schedule correctly while allowing NoSchedule taints to protect costly GPU nodes.

📦 AWS announced a new warm storage tier for Amazon Kinesis Video Streams, offering lower-cost storage for extended media retention while preserving sub-second access latency. The existing standard tier is now designated the hot tier and remains optimized for real-time, short-term use. Developers can configure fragment sizes to trade latency for ingestion cost, and both tiers integrate with Amazon Rekognition Video and Amazon SageMaker for continuous video analytics. The warm tier is available in all supported regions except AWS GovCloud (US).

🔒 Amazon Aurora PostgreSQL-Compatible Edition now supports PostgreSQL 17.6, 16.10, 15.14, 14.19, and 13.22, bringing community fixes plus Aurora-specific enhancements. The release introduces database-level Dynamic Data Masking (DDM) for 16.10 and 17.6 to mask sensitive column values at query time using role-based policies without altering stored data. Additional updates include a shared plan cache, improved performance and recovery-time-objective (RTO), and more reliable Global Database switchovers. New clusters can be created in the Amazon RDS console or existing databases upgraded; releases are available across all commercial AWS Regions and AWS GovCloud (US).

🚀 Amazon SageMaker HyperPod is now generally available with new programmatic APIs that let administrators reboot or replace cluster nodes at scale. The BatchRebootClusterNodes and BatchReplaceClusterNodes APIs provide an orchestrator-agnostic way to recover unresponsive or degraded nodes for both Slurm and EKS clusters. Each API supports batch operations for up to 25 instances and complements existing orchestrator-specific workflows. The capabilities are currently available in US East (Ohio), Asia Pacific (Mumbai), and Asia Pacific (Tokyo) and are accessible via the AWS CLI, SDKs, or API calls.

🔔 AWS announced that AWS Compute Optimizer now provides idle resource recommendations for NAT Gateways, helping identify unused NAT Gateways and realize potential cost savings. The feature flags NAT Gateways that show no traffic over a 32-day analysis period by evaluating CloudWatch metrics such as active connection count and incoming packet metrics. Compute Optimizer also checks Route Table associations to avoid recommending critical backup resources and surfaces estimated savings and utilization details for validation before remediation.

🔔 AWS Health introduced two new event schema properties — actionability and persona — to help customers identify and prioritize operational notifications. Delivered via the AWS Health API and Health EventBridge, these fields let organizations programmatically flag events that require customer action and route them to relevant teams such as security or billing. Available across all AWS Commercial and GovCloud (US) Regions, the change streamlines integrations with monitoring, ticketing, and automation systems to improve triage and remediation workflows.

🔔 AWS now supports Apache Iceberg V3 deletion vectors and row lineage across key analytics services. These features — available in Amazon EMR 7.12, AWS Glue, SageMaker notebooks, Amazon S3 Tables, and the AWS Glue Data Catalog — accelerate data modifications and make it simpler to identify changed records. Enable V3 by setting the table property 'format-version = 3' in CREATE TABLE or by updating table metadata; supported AWS query engines will automatically use deletion vectors and row lineage.

🔒 Amazon CloudWatch now lets you enable deletion protection on log groups to prevent accidental or unintended removals. Once enabled, a log group cannot be deleted until protection is explicitly turned off, helping preserve audit, compliance, and operational logs. The feature is available in all AWS commercial Regions and can be configured during creation or applied to existing groups via the Console, AWS CLI, AWS CDK, and AWS SDKs.