All news with #aws tag

🚀 The open-source Model Context Protocol (MCP) Server is now available for Amazon Bedrock AgentCore, providing a standardized interface that enables developers to analyze, transform, and deploy production-ready AI agents within their preferred development environments. The release includes one-click installation and integrates with agentic IDEs like Kiro and AI coding assistants such as Claude Code, Cursor, and the Amazon Q Developer CLI. Developers can use natural language to iteratively build agents, convert agent logic to the AgentCore SDK, and deploy into development accounts. Documentation and installation instructions are published in the MCP Server GitHub repository, with additional implementation guidance and pricing details available in the AgentCore documentation and pricing resources.

🚀 Amazon Neptune now integrates with GraphStorm, enabling developers to deploy graph neural network models for real-time inference directly against transactional graph data. Trained GNNs can query Neptune for subgraph neighborhoods on demand and return predictions such as node classification or link prediction in sub-second timeframes. This supports use cases like fraud detection, dynamic recommendations, and continuous risk scoring while combining inference with analytics.

🔐 AWS Secrets Manager now supports AWS PrivateLink with all Secrets Manager Federal Information Processing Standard (FIPS) endpoints available in commercial AWS Regions and the AWS GovCloud (US) Regions. With this launch you can establish a private connection between your VPC and Secrets Manager FIPS endpoints instead of connecting over the public internet. This capability helps organizations meet compliance and regulatory requirements that limit public internet connectivity.

🔔 AWS has expanded AWS Config advanced queries and configuration aggregators to the Asia Pacific (New Zealand) region. Advanced queries provide a single query endpoint and a query language to retrieve current resource configuration and compliance state without issuing service-specific describe API calls. Aggregators enable centralized visibility by collecting configuration and compliance data from multiple accounts and Regions or across an AWS Organization. These capabilities are accessible from the AWS Console and AWS CLI and, with this expansion, are now available in all supported regions.

🔧 AWS Parallel Computing Service (AWS PCS) now supports over 60 additional Slurm configuration parameters, giving administrators finer control of job scheduling, resource allocation, access permissions, and job lifecycle behavior. New options include queue-specific priority policies, preemption rules, custom time and resource limits, and account-level access controls. Per-job execution behaviors and QoS tuning help run multi-team production HPC environments more efficiently. The expanded settings are available in all AWS PCS regions.

🔁 AWS Parallel Computing Service (PCS) now supports rebooting compute nodes using Slurm commands without triggering instance replacement. You can use the scontrol reboot command with options for immediate or deferred reboots to troubleshoot, perform resource cleanup, or recover from degraded states. This capability is available in all PCS-supported AWS Regions and helps teams maintain cluster health more efficiently while reducing costs associated with unnecessary instance replacements.

🔎 The Amazon Elastic Container Service (ECS) console now offers one-click event capture and an integrated event history query interface. With a single click the console configures underlying EventBridge rules and CloudWatch log groups and provides pre-built query templates and filters for time range, task ID, deployment ID, stop codes, and exit codes. Available in all AWS Commercial and GovCloud (US) Regions.

🔧 AWS Parallel Computing Service (AWS PCS) now lets you change key Slurm workload manager settings on live clusters without rebuilding them. Administrators can update accounting and workload management parameters via the AWS Management Console, AWS CLI, or AWS SDK. This change reduces operational disruption and enables faster adaptation to evolving HPC requirements. Changes are available in all regions where AWS PCS is offered.

🔒 AWS Clean Rooms now supports data access budgets for tables in a collaboration, letting data owners limit how often their data can be analyzed for custom ML training, inference, SQL queries, or PySpark jobs. Administrators can set daily, weekly, or monthly refresh budgets, lifetime caps, or both; once a budget is exhausted the system blocks further analyses until the budget refreshes. Budgets may be edited or reset at any time to suit changing needs. This privacy control reduces unintended data exposure while maintaining collaborative analysis.

📡 Amazon GameLift Streams now supports IPv6 for streaming applications hosted on Windows-based stream groups, enabling dual-stack connectivity (IPv4 and IPv6) for streamed Windows applications. This enhancement gives customers additional addressing options and helps meet IPv6 compliance requirements while preserving compatibility with existing IPv4 deployments. Note that Linux runtime applications will continue to require IPv4 for streaming; the capability is available in all AWS Regions where GameLift Streams is offered.

🌐 Amazon Keyspaces now supports IPv6 through new dual-stack endpoints that accept both IPv6 and IPv4 connections, expanding available address space while preserving compatibility with existing IPv4 applications. The enhancement enables gradual migration strategies for critical database services and reduces disruption during transition. IPv6 access is also supported via PrivateLink interface VPC endpoints for private connectivity without traversing the public internet. This capability is available now in all AWS Commercial and AWS GovCloud (US) Regions where Keyspaces is offered, at no additional cost.

🚀 Amazon Managed Workflows for Apache Airflow (MWAA) now supports Apache Airflow 3.0, enabling easier authoring, scheduling, and monitoring of complex workflows. The release introduces a redesigned UI and an event-driven scheduler that can trigger workflows directly from external events. The new Task SDK and Task Execution API reduce boilerplate, improve isolation, and limit direct metadatabase access. MWAA also adds Python 3.12 support and security fixes to enhance reliability.

🔍 Amazon Connect now surfaces agent time-off balance data in the analytics data lake, enabling managers and analysts to generate reports and insights from both current and historical balances across categories such as paid time-off, sick leave, and leave of absence. The capability includes a chronological transaction log that shows each adjustment and its impact on balances, removing the need for manual reconciliation and improving manager productivity and response to agent inquiries. It is available in all AWS Regions where Amazon Connect scheduling is supported.

🔊 Amazon Bedrock Data Automation (BDA) now offers enhanced transcription with speaker diarization and channel identification, letting developers separate and process individual speakers or channels in audio files. It also provides a guided, natural language blueprint workflow for extracting custom audio insights. These capabilities simplify reading and analysis of multi-party recordings—customer calls, telehealth visits, webinars, public-safety recordings, and meetings—and support subtitle creation, compliance monitoring, and productivity analysis. BDA is available in seven AWS Regions.

🗺️ Amazon CloudWatch now provides an out-of-the-box Application Map that automatically discovers, groups, and visualizes services and dependencies across AWS accounts and regions. SRE and DevOps teams can apply dynamic grouping by teams, business units, or criticality to align views with operational responsibilities and accelerate troubleshooting. The map integrates with a contextual troubleshooting drawer that surfaces metrics, SLOs, health indicators, changes, and top observations, and users can pivot to application-specific dashboards for deeper investigation. This capability is available in all AWS commercial regions at no additional cost.

🧭 The AWS API MCP Server v1.0.0 enables foundation models to interact with AWS APIs via natural language by generating and executing syntactically correct CLI commands. This release reduces startup time and removes local dependencies by converting the suggest_aws_command tool into a remote service, and adds streamable HTTP transport alongside stdio. Security and governance are strengthened with improved secure file system controls, better input validation, configurable denials, and options to require human oversight for mutating actions. Observability is improved through CloudWatch agent log collection, and an experimental get_execution_plan tool (enabled by EXPERIMENTAL_AGENT_SCRIPTS) offers prescriptive workflows; the server is available as a container and open-source on the AWS Labs GitHub repository.

🔎 The AWS Knowledge MCP Server is now generally available, giving AI agents and MCP-compatible clients access to authoritative AWS documentation, blog posts, What's New announcements, and Well-Architected guidance in an LLM-friendly format. The GA release also adds structured knowledge about regional API and CloudFormation resource availability. The server is publicly accessible at no cost and does not require an AWS account, though usage is rate-limited. Configure MCP clients to use the AWS Knowledge MCP Server endpoint to anchor agent responses in trusted AWS context and reduce manual context management.

🔐 Amazon SageMaker Unified Studio now supports corporate identities for interactive Apache Spark sessions using AWS Identity Center trusted identity propagation. Data engineers and scientists can sign on to JupyterLab Spark sessions with organizational credentials while administrators apply fine-grained access controls and maintain end-to-end data access traceability. The integration leverages AWS Lake Formation, Amazon S3 Access Grants, and Amazon Redshift Data APIs, and includes comprehensive AWS CloudTrail logging for interactive and background sessions to streamline compliance.

🔒 Amazon Detective now supports VPC endpoints via AWS PrivateLink, allowing you to initiate Detective API calls from inside your VPC without Internet traversal. The capability is available in all AWS Regions where Detective is offered. Create a VPC endpoint through the VPC console, API, or SDK; this provisions an elastic network interface with a private IP in your chosen subnets as the entry point. Detective continues to ingest and correlate logs and findings to power investigations.

🔒 AWS DataSync now supports VPC endpoint policies, enabling administrators to control access to DataSync API operations through VPC service endpoints, including FIPS 140-3 enabled endpoints. You can restrict specific actions such as CreateTask, StartTaskExecution, or ListAgents and combine these controls with identity-based and resource-based policies. The capability is available in all AWS Regions and helps strengthen security posture and compliance when accessing DataSync via VPC endpoints.