All news with #aws tag

🔔 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.

🛰️ Amazon CloudWatch Network Monitoring now reports network health indicators for paths that traverse Transit Gateway inter‑Region peering using synthetic monitors. This extends previous NHI coverage that applied only to paths using AWS Direct Connect, enabling operators to determine whether performance degradation across a Transit Gateway peering link is caused by the AWS network. The indicator covers the AWS network path up to the Transit Gateway peering connection and is published to your CloudWatch account for dashboards and alarms. This feature is available in all Regions except AWS GovCloud (US) and China Regions.

🎯 AWS Elemental Inference now generates real-time contextual metadata from live video streams, producing scene-level intelligence without requiring custom ML infrastructure. The capability runs in parallel with encoding to extract IAB taxonomy categories, GARM brand suitability signals, detected objects and actions, and shot and scene descriptions. Broadcasters and platforms can use the output for contextual ad decisioning, media asset enrichment, and content discovery via a serverless, fully managed AI service.

🔒 AWS Storage Gateway now supports FIPS 140-3 validated endpoints over AWS PrivateLink for Amazon S3 File Gateway, enabling private, FIPS-compliant traffic on the AWS network. Previously, FIPS endpoints were reachable only via the public internet. File Gateway and S3 can now be accessed through FIPS interface VPC endpoints, and gateways must run software version 2.1.10 or later to activate a FIPS PrivateLink endpoint.

🛠️ AWS Elemental MediaTailor introduces Yield Optimization to automatically monetize unused ad inventory during server-side ad insertion (SSAI) for livestreams. Available to publishers in the Amazon Publisher Services (APS) Streaming TV program, it stitches Amazon Ads into unfilled breaks with no additional infrastructure. Publishers retain control via category filters and price floors, and performance can be monitored through CloudWatch and the APS portal.

🎬 AWS Elemental MediaPackage now offers Dynamic Multiview, a server-side feature that composes multiple live video sources into viewer-selected tiled layouts on demand. It delivers multi-angle and personalized experiences as standard HLS and DASH streams playable on modern devices without custom player development. The capability operates in the compressed domain without re-encoding, supports AVC/HEVC, DRM, SCTE-35 passthrough, and full-screen ad replacement.

🔒 AWS Elemental MediaLive now supports A/B forensic watermarking, allowing content owners to trace unauthorized redistribution of live video by producing two synchronized output variants with distinct transparent watermarks. These marks persist through re-encoding and screen capture and are assembled downstream into per-session sequences that identify the leak source. The feature follows the DASH-IF A/B watermarking spec (ETSI TS 104 002) and can be configured on CMAF Ingest output groups via the MediaLive API or console.

📰 AWS Elemental MediaTailor now supports Low-Latency HTTP Live Streaming (LL-HLS) ad insertion via HLS Interstitials, enabling advertisers to place ads into low-latency live streams without increasing viewer latency. MediaTailor uses cacheable ad playlists to maintain CDN-edge caching and moves ad decision logic off the manifest request path. This capability has been validated in production during large live sporting events and is available in all Regions where MediaTailor is offered.

🚀 Amazon Elastic VMware Service (Amazon EVS) is now available in Asia Pacific (Osaka), Asia Pacific (Taipei), Europe (Spain), and Israel (Tel Aviv). Amazon EVS runs VMware Cloud Foundation on EC2 bare-metal instances powered by AWS Nitro, enabling rapid VCF deployments and workload migration. The release supports VCF 9.0 and 9.1 and offers lower latency, improved compliance options, and enhanced resiliency for VMware workloads.

🔔 AWS Marketplace now delivers customer demo and private-offer requests to sellers instantly using an automated qualification workflow. When a customer submits a request they can include use-case details; AWS Marketplace evaluates those details and creates an opportunity that appears in AWS Partner Central with contact and use-case information. Previously, AWS manually qualified requests, causing multi-day delays. Sellers who haven’t enabled the request buttons can activate them via the AWS Marketplace Seller Guide to start receiving leads immediately.

🔔 Amazon Connect Customer now lets contact center managers define specific capacity limits for different Task and Email types, replacing channel-only concurrency settings. Managers can classify contacts by complexity, priority, or function and assign distinct concurrency and interruption rules, e.g., allowing three low-effort Tasks concurrently but only one high-attention Task. The feature is available in all AWS commercial and AWS GovCloud (US-West) regions where Amazon Connect Customer is offered, with details in the Administrator Guide.

🚀 AWS announced general availability of an AWS-managed .NET modernization transformation accessible via a single one-line CLI command. The transformation can run interactively or be scripted into pipelines and complements existing AWS Transform for .NET experiences such as the web app, Visual Studio IDE, Kiro Power, and MCP agents. AWS Transform custom supports ready-to-use and customizable transformations to upgrade languages, migrate frameworks, optimize performance, and analyze codebases at scale.

🔒 AWS releases the Deception Benchmark to measure whether AI models can distinguish real vulnerabilities from safe-but-suspicious code. The dataset contains 14,822 curated samples across 16 languages and 70+ CWE categories, designed through adversarial generation and rigorous multi-review labeling. Evaluations of 12 frontier models show precision clustered in the mid-50s under single-turn prompting, with no model achieving both low false positives and false negatives for production use.

🚀 AWS Lambda now supports AWS Graviton5-powered C9g, C9gd, M9g, and M9gd instances on Lambda Managed Instances, delivering up to 25% better compute performance versus Graviton4. Lambda Managed Instances lets you run Lambda functions on EC2 while retaining Lambda’s operational simplicity, with infrastructure tasks fully managed. You can specify Graviton5 instance types when creating a capacity provider or leave the instance type as default so Lambda can select Graviton5 based on function configuration. Support is available in all Regions where both Lambda Managed Instances and the listed EC2 instances are offered.

🚀 AWS Lambda now supports a 90-minute function timeout for asynchronous and event source mapping (ESM) invocations on Lambda Managed Instances (LMI), increasing the previous 15-minute limit sixfold. This change enables longer-running workloads such as data processing, media transcoding, financial calculations, AI inference, and batch jobs without re-architecting applications. Configuration is available via the AWS Lambda Console, CLI, API, IaC tooling, or the Agent Toolkit. Synchronous invocations remain limited to 15 minutes; the feature is available in all Regions that support LMI.

🛠️ AWS announced two new APIs — CheckIngestedDocumentAcl and GetIngestedDocumentAcl — for Amazon Bedrock Managed Knowledge Base that let customers debug and audit document-level access. The first API verifies whether a specific user can access a given ingested document, while the second returns the full ACL attached to a document for detailed inspection. The Bedrock console also adds a Document Access Control section to check access by document ID and user email or retrieve a document's ACL.

🔔 Today, Amazon Quick introduces capabilities to improve organization, governance, and answer trust across desktop and mobile. Scheduled tasks and monitoring agents now run continuously in the cloud, delivering results even when devices are offline. A refined activity feed offers top-level filters, improved catch-up views, a thrice-daily briefing, and seven-day search. Administrators gain MDM support, per-user permissions, and Microsoft Purview DLP integration, while collaboration, native desktop apps, inline citations, and expanded agent hours simplify enterprise use.

📱The Amazon Quick activity feed is now available on the Amazon Quick mobile app for iOS and Android, providing a single prioritized view of items that need attention across enterprise communications and tools. Items requiring action surface to the top, and you can take actions directly within the app instead of switching between tools. Quick learns your priorities over time and retains context between desktop and mobile, allowing seamless continuation of chats and tasks. The mobile app is included with existing Amazon Quick access at no additional cost.

🖥️ The Amazon Quick desktop app is now generally available on macOS and Windows, enabling full access to Quick on local computers. The app syncs conversations, context, and agents across desktop and mobile, and integrates with calendar, email, and business apps. Agents can run continuously in the background to progress long-running tasks, and the release includes enterprise-grade stability, governance, and AWS SLA commitments.

🔗 AWS has introduced a Confluence Data Center data source connector for Amazon Bedrock Managed Knowledge Base, enabling direct ingestion of self-hosted Confluence blogs and pages. The connector automates crawling, metadata extraction, and incremental sync after you provide instance credentials. Filters let you scope crawls to specific spaces or content types to keep knowledge bases focused and cost-efficient. This simplifies building internal AI assistants grounded in Confluence-hosted documentation.