All news with #product update tag

🔧 Amazon SageMaker HyperPod now automatically selects and continuously maintains the optimal network topology for Slurm GPU clusters based on the instance types in the cluster. By choosing tree or block topology models that match instance interconnect characteristics, HyperPod reduces GPU-to-GPU latency, improves NCCL collective efficiency, and raises distributed training throughput. The topology adapts automatically during scale-up, scale-down, and node replacement events, so administrators no longer need to manually edit topology files or reconfigure Slurm. Topology-aware scheduling is enabled by default across supported AWS Regions.

⚙️ AWS Compute Optimizer now supports the newest EC2 and RDS instance types, expanding recommendations to include Compute, General Purpose, Memory-optimized, Memory-intensive, and Storage-optimized families. The update covers EC2 families such as C8*, M8*, R8*, x8i, and i7i, and RDS classes including M7i, M8g, R8g, X1, and Z1d across MySQL, PostgreSQL, Amazon Aurora MySQL, and Aurora PostgreSQL. This capability is available in all standard AWS Regions where Compute Optimizer operates, excluding AWS GovCloud (US) and the two China regions.

🚀 Second-generation AWS Outposts racks are now supported in the AWS Asia Pacific (Seoul, Sydney) and Europe (Paris) Regions. Outposts racks bring AWS infrastructure, services, APIs, and tools into on‑premises data centers or colocation spaces to provide a consistent hybrid experience. Customers can order racks attached to these Regions to optimize latency, meet data residency requirements, run low-latency workloads locally, and manage applications from their home Region.

🔍 AWS has extended Elastic Beanstalk's AI-powered environment analysis to Windows Server platforms, enabling developers and operators to diagnose and resolve Windows-based environment issues more quickly. The feature collects recent events, instance health metrics, and logs from Windows instances and sends that telemetry to Amazon Bedrock for analysis. You can request an AI analysis from the Elastic Beanstalk console using the AI Analysis button or programmatically via the AWS CLI with the RequestEnvironmentInfo and RetrieveEnvironmentInfo operations. Results include step-by-step troubleshooting recommendations tailored to the environment's current state and are available in Regions where both services are offered.

🔒 Amazon Quick now supports adding co-owners to admin-managed Microsoft SharePoint Online and Google Drive knowledge bases and their data source connections. Owners receive full management capabilities — editing, syncing, sharing, and deleting — while Viewers have query-only access. The Owner co-owner option is restricted to admin-managed SharePoint and Google Drive; other knowledge base types support Viewer sharing only. Administrators can also share connections so teams can create knowledge bases from the same integration. The feature is available in all AWS Regions where Amazon Quick is offered.

🆕 Amazon Redshift now supports row-level UPDATE, DELETE, and MERGE operations on Apache Iceberg tables, allowing direct DML on both partitioned and unpartitioned Iceberg datasets. Customers can perform UPSERT workflows such as change data capture and slowly changing dimensions without moving data to external engines. Tables remain interoperable with other Iceberg-compatible engines and respect AWS Lake Formation permissions. The feature is available in all AWS Regions where Redshift is offered.

🔒 Amazon Quick now includes an ACL Permission Checker for knowledge bases with document-level ACLs, enabling administrators to verify whether a specific user can access a particular document without manually tracing permission inheritance. To use it, open a knowledge base with ACLs enabled, go to the Sync reports tab, choose View Access Details for any synced item, and enter the user's email in the Permission Checker to get an immediate result. The Access Details panel also lists all users and groups with access so administrators gain full visibility into applied permissions. The checker returns one of three outcomes: the user has access, the user does not have access, or no ACL was found for the document.

🔒 Amazon Quick now supports document-level access controls (ACLs) for Microsoft SharePoint knowledge bases, allowing organizations to preserve native SharePoint permissions when indexing content. Quick uses a dual approach—ACL replication for fast pre-retrieval filtering paired with real-time permission checks against SharePoint at query time—to avoid stale or incorrectly mapped access. Administrators can enable this in an admin-managed SharePoint knowledge base in the Quick console; the feature is available in all Regions where Quick is offered.

🛡️ Check Point has been honored with Frost & Sullivan’s 2026 Technology Innovation Leadership recognition for WAF and API security. The accolade underscores a shift in application security as apps span APIs, microservices, AI-driven services and hybrid/multi‑cloud deployments. Check Point’s WAF is positioned to help organizations secure rapid DevSecOps releases, reduce attack surface and protect both traditional web and emerging AI applications.

🔒 Amazon S3 now supports five additional checksum algorithms — MD5, XXHash3, XXHash64, XXHash128, and SHA-512 — bringing the total to ten. S3 will validate and store the checksum you provide on upload, compute composite checksums for multipart uploads, and return stored checksums on download for verification. If you do not supply a checksum, CRC64NVME is applied by default. The new options integrate with replication, S3 Inventory, and S3 Batch Operations and are available across 37 AWS Regions at no extra cost.

🧑‍💻 Amazon SageMaker Unified Studio now lets data workers create and manage multiple code spaces within a single project for IAM domains. Each space maintains its own persistent Amazon EBS volume and independent compute and storage settings, and can be paused, resumed, or connected to a local IDE while preserving files and session state. This enables parallel workstreams and isolated experiments with tailored runtimes and is available in all Regions where SageMaker Unified Studio is offered.

🧩 Amazon SageMaker AI now supports serverless model customization for Qwen3.5, enabling supervised fine-tuning (SFT) and reinforcement fine-tuning (RFT) of 4B, 9B, and 27B parameter models. With serverless customization, SageMaker handles infrastructure provisioning and training orchestration so teams can focus on data, evaluation, and domain adaptation while paying only for consumed resources. This capability is available in US East (N. Virginia), US West (Oregon), Asia Pacific (Tokyo), and EU (Ireland) and can be launched from SageMaker Studio or the SageMaker Python SDK.

🔒 Amazon EC2 now lets you control whether resources provisioned by managed instance offerings appear in console views and API list responses. New managed EC2 instances — provisioned by services such as Amazon EKS, Amazon ECS, AWS Lambda, and Amazon WorkSpaces — are hidden by default to better align with the shared responsibility model. You can adjust visibility settings via the EC2 console or the AWS CLI, affecting views like the EC2 console and describe-instances API results.

🔧 Amazon Elastic Container Service now includes NVIDIA GPU health monitoring and auto repair for ECS Managed Instances. The capability leverages NVIDIA Data Center GPU Manager (DCGM) to detect critical GPU hardware failures and proactively replace impaired instances to maintain availability for GPU-accelerated container workloads. You can view GPU health via the DescribeContainerInstances API and receive notifications through Amazon EventBridge. Auto repair is enabled by default on supported instances at no additional cost and is available in all AWS Commercial Regions.

🔐 AWS Secrets Manager now supports managed external secrets for MongoDB Atlas and Confluent Cloud, enabling centralized secret storage and automatic rotation without building custom Lambda rotation functions. The MongoDB integration handles database user credentials (SCRAM) and service account OAuth client ID/secret; Confluent automates API key rotation for service accounts with cluster-scoped and cloud resource management keys. Automatic rotation is enabled by default to remove hardcoded credentials and reduce operational overhead.

🚀 Amazon Bedrock AgentCore introduces a managed harness (preview), an AgentCore CLI, and prebuilt skills to help developers build and iterate on agents faster. The managed harness runs the complete agent loop in a per-session microVM with filesystem and shell access, supports model-agnostic switching, and lets teams export orchestration as Strands-based code. Filesystem persistence (preview) enables suspending and resuming sessions, and the CLI integrates with AWS CDK to deploy agents with governance and audibility.

🎬 Amazon Interactive Video Service (IVS) Low-Latency Streaming now supports server-side ad insertion (SSAI), enabling creators to monetize live streams with server-stitched ads. IVS integrates with AWS Elemental MediaTailor to deliver ad decisioning, audience targeting, and personalization while keeping client integration simple. The service provides an API to insert ad breaks in real time and includes ad markers in Amazon S3 recordings to support on-demand monetization. Server-side stitching also reduces the impact of client-side ad blockers.

🔔 Amazon announced that Amazon EC2 for SQL Server HA now emits health notifications when it cannot detect a valid SQL Server High Availability status. Customers who register EC2 SQL HA clusters via the AWS Console or CloudFormation can receive alerts through the AWS Health Dashboard, Amazon EventBridge, and email. These notifications help teams respond quickly and avoid unexpected license-included billing or charges. The feature is available in all Regions where EC2 SQL HA is supported, including AWS GovCloud (US).

⚙️ Microsoft is rolling out an Efficiency Mode for Teams on Windows and Mac to improve responsiveness on devices with constrained CPU and memory. Enabled by default on eligible systems, the mode dynamically reduces camera resolution during meetings, launches the app without a pre-selected chat, and displays a static image in the message pane. The change begins in early May 2026 and will complete by mid-May. Users can opt out via Settings > General by toggling on "Never use efficiency mode," and Teams will display an indicator when the mode is active.

🚀 Small businesses are rapidly adopting Gemini Enterprise from Google Cloud to embed AI across operations, using agents to automate reporting, index internal knowledge, draft content, validate data, and streamline workflows. By making generative models accessible to nontechnical staff, the platform helps lean teams deliver faster insights and higher-quality outputs. Several SMBs worldwide report measurable productivity gains, shorter decision cycles, and reduced manual effort as they scale practical AI use cases.