All news with #product update tag

🚀 AWS Elastic Beanstalk now supports Node.js 24 on Amazon Linux 2023 (AL2023), enabling developers to deploy applications that benefit from the latest V8 engine updates, npm 11, and platform-level security and performance improvements. You can create environments via the Elastic Beanstalk Console, CLI, or API. The platform is available in all commercial AWS Regions, including AWS GovCloud (US).

🔁 Amazon SageMaker Notebook instances now support self-service migration via the PlatformIdentifier parameter in the UpdateNotebookInstance API. You can update unsupported platform identifiers (notebook-al1-v1, notebook-al2-v1, notebook-al2-v2) to supported versions (notebook-al2-v3, notebook-al2023-v1) while preserving data and configurations. The capability is available through AWS CLI (v2.31.27+) and SDKs in all Regions where Notebook instances are supported. This simplifies keeping instances current and reduces manual migration effort.

📣 Amazon Connect Outbound Campaigns now supports WhatsApp, enabling proactive, automated messaging for appointment reminders, payment notifications, order updates, and product recommendations. Administrators can configure WhatsApp campaigns in the existing Amazon Connect interface—define target audiences, personalize message templates, schedule delivery, and apply compliance guardrails alongside SMS, voice, and email. Messages can leverage real-time customer data and include delivery and engagement tracking as well as frequency controls to maintain compliance. This capability is available in all AWS Regions that support Outbound Campaigns.

🔔 AWS now enables centralized collection of CloudTrail events in Amazon CloudWatch, allowing organizations to consolidate telemetry alongside VPC Flow Logs and EKS Control Plane Logs. The integration leverages service-linked channels (SLCs) to receive events without requiring trails and adds safety checks plus termination protection. Customers will incur CloudTrail event delivery charges and CloudWatch Logs ingestion fees based on custom logs pricing; consult the CloudWatch documentation for supported regions and enablement steps.

🔍 Amazon Q now analyzes email sending in Amazon SES, enabling customers to ask natural-language questions about SES resource configuration, usage patterns, and deliverability issues. Q evaluates usage data and resource settings to surface optimization opportunities and troubleshooting steps, reducing the need for deep email-sending expertise. Support is available in all Regions where SES and Q are offered.

🐍 AWS Elastic Beanstalk now supports Python 3.14 on Amazon Linux 2023, allowing developers to build and deploy applications that take advantage of the latest interpreter features, improved error messages, and updated security and API behavior. The platform update also enhances the interactive interpreter experience and aligns runtime behavior with modern Python improvements. Environments can be provisioned via the Elastic Beanstalk Console, CLI, or API, and are available in all commercial AWS Regions including AWS GovCloud (US).

📢 AWS has announced that AWS Managed Microsoft AD and AD Connector are now available in the Asia Pacific (New Zealand) Region. AWS Managed Microsoft AD is built on actual Microsoft Active Directory and helps reduce the operational burden of running AD infrastructure in AWS while enabling domain join for EC2, containers, and Kubernetes. AD Connector acts as a proxy to let AWS services use existing on-premises AD identities and group policies without provisioning AD in the cloud.

🚀 The NVIDIA Run:ai Model Streamer now supports native Google Cloud Storage access, accelerating model load and inference startup for vLLM workloads on GKE. By streaming tensors directly from Cloud Storage into GPU memory and using distributed, NVLink-aware transfers, the streamer dramatically reduces cold-start latency and idle GPU time. Enabling it in vLLM is a single-flag change and it can leverage GKE Workload Identity for secure, keyless access.

⚠️ Microsoft is investigating a known issue that prevents customers from downloading Microsoft 365 desktop apps from the Microsoft 365 homepage, with failures reported since November 2. The company says a recent service update introduced a code defect affecting the license check process, and it has tagged the situation as an incident. A fix has been developed and is being validated in Microsoft's internal environment, and the company promised an update on deployment timing by 6:30 PM UTC. Microsoft is also addressing a separate issue causing some users to be unable to open Excel attachments in the new Outlook client due to filename encoding errors.

🚀 Amazon Bedrock now exposes an OpenAI-compatible Responses API on new service endpoints, enabling asynchronous inference for long-running workloads, streaming and non-streaming modes, and automatic stateful conversation reconstruction so developers no longer must resend full histories. The endpoints provide Chat Completions with reasoning-effort support for models served by Mantle, Amazon’s distributed inference engine. Integration requires only a base URL change for OpenAI SDK–compatible code, and support starts today for OpenAI’s GPT OSS 20B and 120B models, with additional models coming soon.

🚀 Amazon SageMaker HyperPod now supports checkpointless training, a foundational capability that eliminates the need for checkpoint-based, job-level restarts for distributed model training. Checkpointless training preserves forward training state across the cluster, automatically swaps out failed nodes, and uses peer-to-peer state transfer to resume progress, reducing recovery time from hours to minutes. The feature can deliver up to 95% training goodput at very large scale, is available in all Regions where HyperPod runs, and can be enabled with zero code changes for popular recipes or with minimal PyTorch modifications for custom models.

🚀 AWS has announced TypeScript support in preview for the Strands Agents SDK, giving developers a choice between Python and TypeScript for building model-driven AI agents. The TypeScript implementation provides idiomatic, type-safe APIs with async/await and modern JavaScript/TypeScript patterns, and is designed to run in browsers, client applications, and server runtimes such as AWS Lambda and Bedrock AgentCore. AWS also introduced three SDK updates: edge device support is now GA, Strands steering is available experimentally, and Strands evaluations is in preview to help validate agent behavior.

🔧 Amazon Bedrock now supports reinforcement fine-tuning, enabling developers to improve model accuracy without deep ML expertise or large labeled datasets. The service automates the reinforcement fine-tuning workflow and trains models by learning from feedback on multiple candidate responses, improving model judgment about what makes a good reply. AWS reports an average 66% accuracy gain over base models, allowing teams to deploy smaller, faster, and more cost-effective variants while maintaining quality. At launch the feature supports Amazon Nova 2 Lite, and it can be accessed via the Bedrock console or APIs.

⚡ Amazon SageMaker HyperPod now supports elastic training, automatically scaling distributed training jobs to absorb idle accelerators and contract when higher‑priority workloads require resources. This eliminates the manual cycle of halting jobs, reconfiguring parameters, and restarting distributed training, which previously demanded specialized engineering time. Organizations can start training with minimal resources and grow opportunistically, improving cluster utilization and reducing costs. Elastic training can be enabled with zero code changes for public models like Llama and GPT OSS, and requires only lightweight configuration updates for custom architectures.

🔧 Microsoft has published the optional KB5070311 preview cumulative update for Windows 11, delivering 49 non-security fixes and quality improvements. The November preview resolves an explorer.exe and taskbar hang triggered by certain notifications, corrects File Explorer search issues affecting some SMB shares, and addresses an LSASS access-violation instability. Install via Settings → Windows Update or download from the Microsoft Update Catalog; this update advances 25H2 and 24H2 builds to 26200.7309 and 26100.7309 respectively.

🧭 Amazon CloudWatch now offers AgentCore Evaluations, an automated capability for assessing AI agent quality using real-world interactions. The feature includes 13 pre-built evaluators that measure dimensions such as helpfulness, tool selection, and response accuracy, and it also supports custom model-based scoring. Teams can access unified quality metrics, agent telemetry, and end-to-end traces in CloudWatch dashboards to correlate evaluations with prompts, logs, and traces for faster diagnosis and improvement.

🔍 Amazon SageMaker Catalog now exports asset metadata as an Apache Iceberg table via Amazon S3 Tables, enabling teams to query catalog inventory with standard SQL without building custom ETL. The export includes technical fields (resource_id, resource_type), business metadata (asset_name, business_description), ownership details, and timestamps, partitioned by snapshot_date for time travel queries. The dataset appears in SageMaker Unified Studio and is queryable from Amazon Athena, Studio notebooks, AI agents, and BI tools. Available in all supported Regions at no additional SageMaker charge; you pay for S3 Tables storage and Athena queries.

🗃️ Amazon S3 Tables now support the Intelligent-Tiering storage class to automatically optimize table storage costs based on access patterns, without impacting performance or adding operational overhead. Data not accessed for 30 days moves to the Infrequent Access tier (≈40% lower cost), and after 90 days moves to Archive Instant Access (≈68% lower cost), enabling up to 80% storage savings. Automated table maintenance (compaction, snapshot expiration, unreferenced file removal) does not trigger tiering, and you can select Intelligent-Tiering per table or set it as the default for new tables in a table bucket across all regions where S3 Tables are available.

🧠 Amazon SageMaker AI now offers a serverless MLflow capability that automatically scales to support experiment tracking and model development without infrastructure setup. The service scales up for demanding workloads and scales down during idle periods, reducing operational overhead. Administrators can enable cross-account access via Resource Access Manager (RAM). The feature integrates with SageMaker AI JumpStart, Model Registry, and Pipelines and is offered at no additional charge in select AWS Regions.

🔁 Amazon Bedrock AgentCore Runtime now supports bi-directional streaming, enabling real-time, continuous conversations where agents listen and respond simultaneously and handle interruptions or context shifts mid-turn. This removes stop-start friction in voice and text agents and preserves context across exchanges. Built into AgentCore Runtime, the capability reduces months of engineering work required to implement streaming infrastructure, letting developers focus on agent experiences rather than plumbing. Available in nine AWS Regions with consumption-based pricing.