All news with #aws tag

🔒 AWS HealthImaging now supports fine-grained study- and series-level access control for medical imaging data. Customers can reference DICOM Study Instance UIDs and Series Instance UIDs directly in IAM policies for DICOMweb APIs and create temporary, scoped grants using AWS STS session policies, removing the need to list individual image set ARNs. This reduces PHI exposure by limiting access to specific studies or series and supports workflows such as pathologist case-level access, radiology sharing with external partners, and controlled research distribution. The service is HIPAA-eligible and generally available in key regions.

🤖 AWS Step Functions now supports 28 additional AWS service integrations and over 1,100 new API actions, enabling direct orchestration of a broader set of services without writing custom integration code. New integrations include Amazon Bedrock AgentCore for invoking AI agent runtimes and Amazon S3 Vectors for document ingestion workflows. The update also adds support for AWS Lambda durable execution APIs to enable idempotent durable function invocations and management of durable executions from workflows. These enhancements are generally available in all Regions where Step Functions is offered.

🖼️ Amazon Bedrock now offers Palmyra Vision 7B from Writer, a multimodal 7B-parameter model that interprets and generates text from images via the Bedrock API. Trained on PixMo, a dataset of one million high-quality image-text pairs, the model supports visual question answering, handwritten text extraction, chart interpretation, and image-based comprehension for enterprise workflows. It is available in select AWS Regions to simplify deployment of multimodal applications.

🔗 AWS now enables remote connections from Kiro and Cursor IDEs to Amazon SageMaker Studio. Data scientists, ML engineers, and developers can use their local Kiro/Cursor setups — including spec-driven development, conversational coding, and automated feature generation — while running workloads on SageMaker's scalable cloud compute. Authentication is supported via the AWS Toolkit extension or SageMaker Studio's web UI, preserving Studio security boundaries and reducing context switching.

🔒 Amazon now supports FIPS-compliant operation for Amazon ECS Managed Instances running Graviton-based and GPU-accelerated workloads in the AWS GovCloud (US) Regions. ECS Managed Instances in GovCloud enable FIPS by default, use FIPS-compliant endpoints and validated cryptographic modules, and boot kernels in FIPS mode. Customers can enable the feature via the Console, ECS MCP Server, ECS Express Mode, or infrastructure-as-code; management charges apply in addition to EC2 costs.

🆕 Research and Engineering Studio (RES) on AWS 2026.03 introduces expanded administrator controls, enhanced filesystem support, and session management improvements. Admins can onboard multiple FSx for ONTAP volumes as RES filesystems, configure DCV token expiration to support longer session files, and add up to three custom login links. The release also enables admins to restart VDIs in error states from the Sessions page and lets users reset VDI schedules to the system default, alongside assorted bug fixes and performance improvements.

🔔 Research and Engineering Studio (RES) 2026.03 introduces administrator controls, expanded filesystem support, and session-management improvements to simplify cloud-based research desktops. Administrators can onboard multiple FSx for ONTAP volumes, configure DCV token expiration for longer session files, and add up to three custom links on the RES login page. The release also enables restarting VDIs in error states from the Sessions page, lets users reset VDI schedules to system defaults with one action, and includes assorted bug fixes and performance improvements across supported AWS Regions.

🔧 AWS Parallel Computing Service (AWS PCS) now supports additional Slurm settings for slurmdbd and cgroups accessible via the console, CLI, and SDK. Administrators can tune accounting behavior, privacy controls, and data retention through slurmdbd, while cgroups enable CPU binding, memory limits, and device access restrictions to prevent oversubscription. These options can be set at cluster creation or applied to existing clusters across all AWS PCS regions.

🔔 AWS has expanded availability of Amazon EC2 I8ge instances to Europe (Stockholm) and multiple Asia Pacific regions including Mumbai, Malaysia, Singapore, and Sydney. These storage-optimized instances run on Graviton4 processors and leverage third-generation Nitro SSDs, delivering up to 60% better compute and up to 55% better real-time storage performance per TB versus prior Graviton2-based storage instances. I8ge offers up to 120 TB of local NVMe, high network throughput, and dedicated EBS bandwidth for low-latency, data-intensive workloads.

🔒 The new Aurora DSQL Connector for Ruby (pg gem) simplifies building Ruby applications on Aurora DSQL by automating IAM token generation, SSL configuration, and connection pooling. It removes the need for persistent user-generated passwords while preserving full compatibility with existing pg gem features. The connector also provides optional optimistic concurrency control (OCC) retry with exponential backoff and supports custom IAM credential providers and AWS profiles.

🚀 AWS Lambda has raised the per-process file descriptor limit from 1,024 to 4,096 for functions running on Lambda Managed Instances (LMI). This 4x increase supports I/O-intensive and high-concurrency workloads by allowing larger connection pools and more simultaneous open files and sockets. The capability is available in all Regions where LMI is generally available and helps customers use managed EC2 instances with built-in routing, load-balancing, and auto-scaling without additional operational overhead.

🎯 AWS AppConfig now supports enhanced targeting controls for feature flag and configuration rollouts, enabling customers to bind values to specific segments or individual users during gradual deployments. The capability makes feature flags “sticky” by using customer-provided entity identifiers together with the AppConfig Agent, preserving targeted behavior as updates progress. This feature is available in all AWS Regions, including AWS GovCloud (US).

🔁 The AWS Advanced JDBC Wrapper now supports automated JDBC query caching using Valkey, including integration with Amazon ElastiCache for Valkey. Developers can add the wrapper dependency, enable the query cache plugin, configure database and cache endpoints, and mark which queries to cache via annotations or hints. Supported databases include Aurora and RDS for PostgreSQL, MySQL, and MariaDB. Caching result sets reduces database reads, lowers read latency, and can cut costs while improving application resilience.

🚀 Amazon Web Services has launched EC2 R8gd instances with up to 11.4 TB of local NVMe SSD storage, powered by Graviton4 processors. These instances deliver up to 30% better compute performance versus Graviton3 and show improvements for I/O-intensive databases and real-time analytics workloads. Offered in 12 sizes with up to 50 Gbps network and 40 Gbps EBS bandwidth, select sizes include Elastic Fabric Adapter (EFA) and support adjustable bandwidth weighting for greater deployment flexibility.

🚀 Amazon Web Services has made M8a general-purpose Amazon EC2 instances available in the AWS Europe (Ireland) region starting today. Powered by 5th Gen AMD EPYC (Turin) processors with up to 4.5 GHz, these instances deliver up to 30% higher performance and up to 19% better price-performance versus M7a. They provide 45% more memory bandwidth, are SAP-certified, and come in 12 sizes including two bare-metal options. Built on sixth-generation AWS Nitro Cards, M8a targets latency-sensitive and high-throughput workloads and can be purchased via On-Demand, Savings Plans, or Spot instances.

🚀 Amazon EC2 M8a instances are now available in AWS GovCloud (US-West). Powered by 5th Gen AMD EPYC processors (Turin) with up to 4.5 GHz, M8a delivers up to 30% higher performance and up to 19% better price-performance versus M7a, plus 45% more memory bandwidth for latency-sensitive workloads. The family includes 12 sizes, two bare-metal options, and is SAP-certified. Instances can be purchased via Savings Plans, On-Demand, or Spot.

🔒 AWS updated its Storage Gateway Terraform modules to deploy gateways on Amazon Linux 2023, improving security, reliability, and IaC consistency. The modules support all gateway types—Amazon S3 File Gateway, Tape Gateway, and Volume Gateway—in both Amazon EC2 and VMware environments. EC2 deployments now enforce IMDSv2 by default to mitigate credential theft and SSRF, and support optional Elastic IP association and simplified Active Directory integration. The update also prevents unexpected gateway replacements during routine Terraform operations.

📦 AWS introduces the Agent Plugin for AWS Serverless, which integrates AI coding assistants like Kiro, Claude Code, and Cursor to simplify building, deploying, troubleshooting, and managing serverless applications. The plugin packages reusable agent skills, sub-agents, hooks, and MCP servers to provide contextual guidance across the development lifecycle. It supports Lambda integrations with common event sources, IaC workflows via SAM and CDK, long‑running stateful patterns with durable functions, and API design with API Gateway. Skills are distributed in the open Agent Skills format and are available in AI tooling that supports agent plugins or skills.

🔔 AWS Batch now reports the AMI status for Batch-provided default Amazon Machine Images when you describe a compute environment, indicating LATEST or UPDATE_AVAILABLE. It also publishes AWS Health Planned Lifecycle Events to provide advance notification of scheduled changes such as AMI deprecations and other lifecycle activities. Both capabilities are available today in all Regions where AWS Batch runs and can be integrated with Amazon EventBridge to automate monitoring and remediation.

🔗 AWS announced remote connection from Cursor IDE to SageMaker Unified Studio via the AWS Toolkit extension. This integration lets data scientists, ML engineers, and developers use their local Cursor setup — including AI-powered code completion, natural language editing, and multi-file editing — while leveraging SageMaker's scalable compute and data. Authentication is handled securely through AWS IAM via the Toolkit, preserving custom Cursor settings and enterprise-grade security.