All news with #aws tag

✅ Amazon RDS for Db2 now supports IBM Db2 v12.1, including Db2 Standard, Db2 Advanced, and the Db2 Community Edition. Db2 Community Edition offers the same features as Standard and Advanced without commercial licensing charges for development and test use. To use it, obtain a free IBM Customer ID and create instances via the Amazon RDS console. The new support is available in all Regions where Amazon RDS for Db2 is offered.

🔔 Amazon Connect Customer now delivers real-time dashboard alerts when specified keywords, phrases, or sentiment patterns arise during live calls and chats. Supervisors can listen to live conversations, view real-time transcripts and sentiment analysis, and coach agents via chat to address issues such as cancellation requests before customers churn. The feature is available in all AWS commercial and AWS GovCloud (US-West) regions offering conversational analytics.

🔔 AWS now supports Kubernetes version 1.36 in Amazon EKS and Amazon EKS Distro. You can create new clusters or upgrade existing ones using the EKS console, eksctl, or infrastructure-as-code tools across all AWS Regions, including GovCloud. Key features in 1.36 include GA User Namespaces, Mutating Admission Policies for CEL, In-Place Pod-Level Vertical Scaling, and Resource Health Status reporting. EKS Distro images are available in ECR Public Gallery and GitHub, with documentation covering upgrade guidance and lifecycle policies.

🔒 AWS Config now supports internal service linked rules, allowing AWS services to evaluate resource configurations using AWS Config managed rules. These rules let AWS services like AWS Security Hub CSPM deploy and manage service-specific evaluations, with results sent directly to the deploying service. Evaluations occur at no charge from AWS Config and run independently of customer-managed recorders and rules, preserving existing inventory and compliance workflows. The feature is available in commercial, GovCloud, and China Regions.

🔧 AWS Deadline Cloud now supports persistent storage for Service-Managed Fleets (SMF), enabling data retention across worker lifecycle events. Previously, SMF workers used ephemeral storage and required reinstalling software and assets after recycling. Now Deadline Cloud attaches persistent Amazon EBS volumes to SMF workers to preserve Conda environments, Perforce workspaces, shader caches, and asset collections, reducing startup time. You can configure volume counts per worker and set TTLs to balance retention and cost; availability and pricing match existing SMF EBS offerings.

🚀 Microsoft announced early access preview of Azure Cobalt 200 Arm-based VMs at Build 2026, delivering up to 50% generational performance improvements over Cobalt 100 for agentic AI and cloud-native Linux workloads. The Cobalt 200 SoC, built on Arm Neoverse V3 and TSMC 3nm, features chiplets, custom accelerators, and enhanced memory and security capabilities. New VM families (including high-memory and dense local storage) expand deployment choices and are available in selected preview regions.

🔧 Amazon SageMaker Studio's quick setup now completes in under twenty seconds, down from over two minutes, letting users rapidly move from sign-in to a fully configured Studio environment. Newly created Studio environments automatically receive serverless model customization permissions via a new managed policy, AmazonSageMakerModelCustomizationCoreAccess, enabling fine-tuning, evaluation, and deployment without manual IAM role configuration. Existing environments receive actionable guidance to add the permissions. The feature is available in all AWS Commercial Regions that support SageMaker Studio.

🚀 Today AWS adds durability to Amazon ElastiCache, allowing workloads that need microsecond read latency but cannot tolerate data loss to run on ElastiCache. The feature stores data durably across multiple Availability Zones using a Multi‑AZ transactional log for fast failover, recovery, and node restarts. Two durability modes—synchronous and asynchronous writes—let you trade off zero data loss with millisecond write latency or microsecond write latency with potential brief data loss.

🛰️ Amazon Location Service introduced public transit and intermodal routing in the Routes API, adding two travel modes, Transit and Intermodal, to the CalculateRoutes operation. Developers can now compute journeys combining buses, trains, ferries, walking, driving, taxi, and rental segments, with stop details, departure/arrival times, and last-mile support. These features support mobility, logistics, commutes, and urban planning, and are available in multiple AWS Regions globally.

📣 AWS announced that AWS Cost and Usage Report 2.0 (CUR 2.0) now integrates directly with AWS Athena and AWS Redshift, enabling customers to query CUR data in Amazon S3 using standard SQL without custom warehousing. Exports are delivered in optimal formats (Parquet, GZIP) and include metadata, templates, table definitions, and loading instructions to accelerate setup. CUR 2.0 refreshes automatically update Athena and Redshift tables, and the feature is available in all commercial AWS Regions except GovCloud (US) and China Regions.

🔬 AWS HealthOmics now supports Nextflow version 26.04, enabling customers to use new Nextflow features like record types, the strict syntax parser, workflow output summaries, and agent logging mode. The service is HIPAA-eligible and provides fully managed bioinformatics workflows for healthcare and life sciences. Nextflow v26.04 is available across all AWS HealthOmics regions, improving pipeline reliability, readability, and integration with downstream tools.

🔬 AWS HealthOmics now lets customers specify the Nextflow engine version at run time via the StartRun API, enabling explicit version pinning for controlled migration. Supported versions include 22.04, 23.10, 24.10, 25.10, and 26.04 via a new engine-settings parameter. This run-time override takes precedence over manifest.nextflowVersion, allowing testing across engine versions without changing workflow source. The feature is available in all AWS HealthOmics regions and supports HIPAA-eligible, production-regulated workflows.

🔔 Amazon Connect Customer now automates placement of ad-hoc activities in agent schedules to minimize impact on service level goals. When scheduling events like training or meetings, supervisors can select placement within a shift, inside a specific time window, or relative to shift boundaries, and the system finds the optimal time within those constraints. This reduces manual scheduling effort and preserves consistent service levels across teams.

🔔 Amazon Connect Customer now supports scheduling up to 5,000 agents per schedule, simplifying workforce planning for large or multi-skilled agent pools. Additional limits include up to 350 agents per staffing group and 300 staffing groups per forecast group, enabling a forecast group capacity of up to 5,000 agents. The update removes the need to split schedules or maintain separate schedules for shared agent pools, reducing operational complexity and improving schedule optimization. This feature is available in all AWS Regions where Amazon Connect Customer agent scheduling is offered.

🔔 Amazon Connect Customer now supports automated schedule update notifications to reduce manual effort. You can define rules to send email or text notifications (via EventBridge) to supervisors and agents when schedules are published, updated, or when an agent’s leave request status changes. This capability helps ensure agents are informed without constantly checking their status and improves scheduler productivity. The feature is available in all Regions where Amazon Connect Customer agent scheduling is offered.

🔒 Amazon Quick now supports connecting privately hosted Model Context Protocol (MCP) servers via Amazon Virtual Private Cloud (VPC). This enables organizations to integrate proprietary MCP servers running on Amazon EC2, AWS Fargate, AWS Agentcore, or other private compute without exposing them to the public internet. During connector creation, choose your VPC and provide your MCP server URL so teams can interact with private MCPs in Quick while traffic remains routed securely through the VPC.

🔒 Amazon SageMaker Unified Studio now supports custom IAM permissions boundaries so organizations enforcing Service Control Policies (SCPs) can provision projects without changing their security posture. When creating a project, SageMaker provisions three IAM roles — a project user role, an Amazon Bedrock service role, and a Bedrock Lambda execution role — and administrators can specify a permissions boundary in the Tooling blueprint configuration. The boundary is attached to all three roles at creation, satisfying SCP requirements and limiting role capabilities while allowing automatic project provisioning across all supported AWS Regions.

🔒 Amazon Web Services (AWS) released Spring 2026 SOC 1, 2, and 3 reports covering 188 services for the period April 1, 2025–March 31, 2026, providing customers a full year of assurance. Customers can download SOC 1 and 2 reports via AWS Artifact, while the SOC 3 report is available on the AWS SOC Compliance Page and AWS Artifact. AWS also published the SOC report package in NIST OSCAL (JSON) format to support machine-readable, standards-based compliance automation. AWS encourages customers to review services in scope and contact their account teams with questions or feedback.

🔧 AWS Parallel Computing Service (AWS PCS) now offers a PCS‑ready Deep Learning AMI, an AWS‑maintained Amazon Machine Image based on the Deep Learning Base GPU AMI (Ubuntu 24.04). It provides a production‑quality foundation for AI/ML training and HPC with preinstalled, compatibility‑tested infrastructure components such as NVIDIA drivers, CUDA, EFA, Lustre client, PCS Agent, Slurm for PCS, and EFS utilities. Multiple Slurm versions are supported and activate automatically based on cluster configuration, and AWS will regularly update the AMIs for security patches and driver updates. The AMI is available at no additional cost for x86_64 and arm64 in all Regions where AWS PCS is offered.

🔧 Amazon SageMaker HyperPod now supports EFA-only network interfaces for cluster instance groups, allowing dedicated Elastic Fabric Adapter devices without attaching Elastic Network Adapters for IP networking. This reduces IP address consumption in VPC subnets and enables larger-scale distributed training clusters. To enable it, set efa-only in the ClusterNetworkInterface when creating or updating a HyperPod cluster via the API.