All news with #aws tag

🔧 AWS Clean Rooms now lets customers configure compute size for PySpark analyses, enabling selection of instance type and cluster size at job runtime for each analysis. Customers can choose larger instances for complex datasets and higher performance or smaller instances to optimize costs. The change provides flexible, per-job resource allocation to balance scale, throughput, and budget while maintaining Clean Rooms' collaborative data protections.

🧬 AWS HealthOmics private workflows are now available in the Asia Pacific (Seoul) Region, providing fully managed bioinformatics pipelines for healthcare and life sciences customers in Korea. The HIPAA-eligible service supports domain-specific languages such as Nextflow, WDL, and CWL and offers features like call caching, dynamic run storage, Git integrations, and ECR pull-through cache. These capabilities simplify pipeline migration, accelerate genomics development, and help maintain data provenance and compliance.

🔐 Amazon MQ now supports OAuth 2.0 authentication and authorization for RabbitMQ brokers, allowing client and user authentication via JWT-encoded access tokens in single-instance and Multi-AZ cluster deployments. You can enable OAuth 2.0 through the AWS Console, CloudFormation, CLI, or CDK, and the feature is available in all regions where Amazon MQ is offered. Compatibility with standard RabbitMQ OAuth 2.0 implementations helps ensure a smooth migration for existing deployments.

🌐 AWS announced a new AWS Direct Connect location at East African Data Centres NBO1 near Nairobi, Kenya. The site is the first Direct Connect location in Kenya and offers dedicated 10 Gbps and 100 Gbps connections with MACsec encryption available. From this location customers can establish private, physical connections to all public AWS Regions (except China), AWS GovCloud Regions, and AWS Local Zones, providing a more consistent network experience than the public internet.

🔔 AWS Config now supports five additional AWS resource types, expanding its ability to discover, assess, audit, and remediate resources across your accounts. The new types — AWS::CodeArtifact::Domain, AWS::Config::ConformancePack, AWS::Glue::Database, AWS::NetworkManager::TransitGatewayPeering, and AWS::RolesAnywhere::TrustAnchor — are tracked automatically if you record all resource types and are available for Config rules and aggregators. Support applies in all Regions where these resources are available, enabling broader compliance and operational visibility. This update simplifies monitoring and remediation workflows.

🔒 AWS Clean Rooms now lets collaboration owners add new data provider members to existing collaborations, enabling partners to contribute data without creating a separate collaboration. New members can be configured to only supply data while inheriting the collaboration’s existing privacy controls and access rules. Invitations and member additions are recorded in the collaboration change history for transparency and auditability. This reduces onboarding time for multi‑party workflows such as publisher–advertiser measurement and third‑party enrichment.

🔒 AWS Clean Rooms ML collaborators can now configure a privacy control to send redacted error log summaries to selected collaboration members. Summaries include exception type, error message, and the line in the code where the error occurred. When associating a model with a collaboration, parties decide which members receive summaries and whether detectable PII, numbers, or custom strings will be redacted. This helps teams debug models while protecting sensitive data and intellectual property.

🔒 Amazon SageMaker Catalog now supports governed classification using Restricted Classification Terms, enabling catalog administrators to mark sensitive glossary terms so only authorized users or projects can apply them to assets. Administrators grant usage through explicit policies and group membership, allowing centralized governance teams to control labels like Seller-MCF or PII. The capability is available in all regions that support SageMaker Unified Studio; consult the user guide to get started.

🚀 Amazon announced the general availability of Amazon Bedrock in the Asia Pacific Jakarta region, enabling customers to build and scale generative AI applications closer to end users. The fully managed service exposes a selection of high-performing foundation models via a single API and includes capabilities such as Guardrails and Model customization. These features are designed to help organizations incorporate security, privacy, and responsible AI into production workflows while accelerating development and deployment.

🔒 Today, AWS announced the ability to manage access to AWS Regions and AWS Local Zones from a single location in the AWS Management Console. The new AWS Global View Regions and Zones page lets customers view infrastructure location details, opt-in status, and parent Region relationships across multiple Regions. This centralizes monitoring and access control and is available in all AWS commercial Regions.

🔍 Amazon CloudWatch Synthetics now supports Firefox in addition to Chrome, enabling cross-browser canary tests. You can run the same canary script across Chrome and Firefox for Playwright-based and Puppeteer-based canaries. CloudWatch Synthetics collects browser-specific performance metrics, success rates, and visual monitoring while maintaining an aggregate health view to help teams detect and resolve browser compatibility issues. Multi-browser support is available in all commercial AWS Regions.

📥 Agents can now manually prioritize and assign the next important task, email, or chat in their queue within Amazon Connect, enabling frontline staff to claim related customer work discovered during calls and resolve issues immediately. Supervisors and managers enable manual assignment by updating agent configuration in routing and security profiles. Agents then use the new worklist application in their agent workspace to claim items. This capability is available in all commercial regions.

🌐 AWS Control Tower and the Control Catalog APIs now accept IPv6 addresses through dual‑stack public endpoints, enabling connections over IPv6, IPv4, or both. The existing IPv4-only endpoints remain available for backwards compatibility. Support is available in all Regions where Control Tower and Control Catalog are offered, helping reduce overlapping address space in Amazon VPCs as IPv6 adoption grows. Customers should consult AWS guidance and the IPv6 on AWS whitepaper for configuration and best practices.

🚀 AWS has opened a new Direct Connect location at the Spark Digital Mayoral Drive Exchange (MDR) near Auckland, New Zealand. The site offers dedicated 10 Gbps and 100 Gbps connections with MACsec encryption available and enables private, physical network links from customer datacenters, offices, or colocation facilities. Customers can establish private access to all public AWS Regions (except China), AWS GovCloud Regions, and AWS Local Zones from this point, delivering a more consistent network experience than the public internet.

🔒 AWS expanded 10 Gbps and 100 Gbps Direct Connect dedicated links with MACsec encryption at the Rack Centre LGS1 data center near Lagos, Nigeria. From this location, customers can now establish private, direct network access to all public AWS Regions (except China), AWS GovCloud Regions, and AWS Local Zones. Direct Connect provides a private, physical network connection that delivers a more consistent experience than the public internet. AWS directs customers to its Direct Connect product pages, locations list, and getting-started guidance for purchasing and deployment.

🔔 Amazon RDS for Oracle now offers Oracle Database Standard Edition 2 (SE2) License Included R7i and M7i instances in Asia Pacific (Thailand) and Mexico (Central) regions. These License Included instances let customers run Oracle databases without separate license purchases or support fees; instances can be launched via the AWS Management Console, AWS CLI, or SDKs. Review AWS blog guidance and RDS for Oracle pricing for regional availability and cost details.

🔧 AWS has published an open-source collection of scenario-focused AWS CLI scripts and tutorials that demonstrate end-to-end shell workflows across more than 60 AWS services. Each example is tested and includes patterns for error handling, resource tracking, and automated cleanup to reduce mistakes and resource leakage. The project also provides guidance to generate and contribute new scripts using generative AI tools like the Amazon Q Developer CLI, enabling an iterative test-and-improve workflow that can produce working scripts rapidly for well-documented use cases.

🔍 Split Cost Allocation Data now supports accelerator-based workloads running in Amazon Elastic Kubernetes Service (EKS), allowing customers to track costs for Trainium, Inferentia, NVIDIA and AMD GPUs alongside CPU and memory. Cost details are included in the AWS Cost and Usage Report (including CUR 2.0) and can be visualized using the Containers Cost Allocation dashboard in Amazon QuickSight or queried with Amazon Athena. New customers can enable the feature in the Billing and Cost Management console; it is automatically enabled for existing Split Cost Allocation Data customers.

🔎 AWS Resource Explorer is now available in the Asia Pacific (Taipei) AWS Region. With AWS Resource Explorer you can search and discover resources across AWS Regions and accounts using the console, the AWS CLI, the AWS SDKs, or the Management Console's unified search bar. Enable the feature via the AWS Resource Explorer console and follow the product documentation to configure indexing and permissions. This expansion improves operational visibility, asset inventorying, and governance for resources hosted in Taipei.

🧠 Amazon Web Services announced integration of Amazon Neptune with Zep, an open-source memory server for LLM applications, enabling persistent long-term memory and contextual history. Developers can use Neptune Database or Neptune Analytics as the graph store and Amazon OpenSearch as the text-search layer within Zep’s memory system. The integration enables graph-powered retrieval, multi-hop reasoning, and hybrid search across graph, vector, and keyword modalities, simplifying the creation of personalized, context-aware LLM agents.