Kategorie: Amazon AWS

Amazon ECS now supports custom container stop signals on AWS Fargate

Amazon Elastic Container Service (Amazon ECS) now supports custom container stop signals for Linux tasks running on AWS Fargate, honoring the stop signal configured in Open Container Initiative (OCI) images when tasks are stopped. The enhancement improves graceful shutdown behavior by aligning Fargate task termination with each container’s preferred termination signal. Previously, when an Amazon ECS task running on AWS Fargate was stopped, each Linux container always received SIGTERM followed by SIGKILL after the configured timeout. With the new behavior, the Amazon ECS container agent reads the stop signal from the container image configuration and sends that signal when stopping the task. Containers that rely on signals such as SIGQUIT or SIGINT for graceful shutdown can now run on Fargate with their intended termination semantics. If no STOPSIGNAL is configured, Amazon ECS continues to send SIGTERM by default. Customers can use custom stop signals on Amazon ECS with AWS Fargate by adding a STOPSIGNAL instruction (for example, STOPSIGNAL SIGQUIT) to their OCI‑compliant container images. Support for container‑defined stop signals is available in all AWS Regions. To learn more, refer to the ECS Developer Guide.
Quelle: aws.amazon.com

AWS Support Center Console now supports screen sharing for troubleshooting support cases

Today, AWS announces that AWS Support Center Console now support screen sharing for troubleshooting support cases. With this new feature, you can request a virtual meeting while in an active chat or call, join support calls with one click through a meeting bridge link. With the new virtual meetings, you will be able to share your screen during the meeting and maintain seamless access to case details for efficient troubleshooting. This enhancement simplifies your support experience by keeping all support interactions within the AWS Support Center console.
To learn more visit the AWS Support page.
Quelle: aws.amazon.com

Amazon Braket now supports Qiskit 2.0

Amazon Braket now supports Qiskit 2.0, enabling quantum developers to use the latest version of the most popular quantum software framework with native primitives and client-side compilation capabilities. With this release, Braket provides native implementations of Qiskit’s Sampler and Estimator primitives that leverage Braket’s program sets for optimized batching, reducing execution time and costs compared to generic wrapper approaches. The native primitives handle parameter sweeps and observable measurements service-side, eliminating the need for customers to implement this logic manually. Additionally, the bidirectional circuit conversion capability enables customers to use Qiskit’s extensive compilation framework for client-side transpilation before submitting to Braket devices, providing the control and reproducibility that enterprise users and researchers require for device characterization experiments and custom compilation passes. Qiskit 2.0 support is available in all AWS Regions where Amazon Braket is available. To get started, see the Qiskit-Braket provider documentation and the Amazon Braket Developer Guide.
Quelle: aws.amazon.com

Amazon GameLift Servers enhances AWS Console for game developers with AI powered assistance

Today, Amazon GameLift Servers is launching AI-powered assistance in the AWS Console, leveraging Amazon Q Developer to provide tailored guidance for game developers. This new feature integrates specialized GameLift Servers knowledge to help customers navigate complex workflows, troubleshoot issues, and optimize their game server deployments more efficiently. Developers can now access AI-assisted recommendations for game server integration, fleet configuration, and performance optimization directly within the AWS Console via Amazon GameLift Servers. This enhancement aims to streamline decision making processes, reduce troubleshooting time, and improve overall resource utilization, leading to cost savings and better player experiences. AI-powered assistance is now available in all Amazon GameLift Servers supported regions, except AWS China. To learn more about this new feature, visit the Amazon GameLift Servers documentation.
Quelle: aws.amazon.com

Amazon EC2 C8gn instances are now available in additional regions

Starting today, Amazon Elastic Compute Cloud (Amazon EC2) C8gn instances, powered by the latest-generation AWS Graviton4 processors, are available in the AWS US East (Ohio) and Middle East (UAE) Regions. The new instances provide up to 30% better compute performance than Graviton3-based Amazon EC2 C7gn instances. Amazon EC2 C8gn instances feature the latest 6th generation AWS Nitro Cards, and offer up to 600 Gbps network bandwidth, the highest network bandwidth among network optimized EC2 instances. Take advantage of the enhanced networking capabilities of C8gn to scale performance and throughput, while optimizing the cost of running network-intensive workloads such as network virtual appliances, data analytics, CPU-based artificial intelligence and machine learning (AI/ML) inference. For increased scalability, C8gn instances offer instance sizes up to 48xlarge, up to 384 GiB of memory, and up to 60 Gbps of bandwidth to Amazon Elastic Block Store (EBS). C8gn instances support Elastic Fabric Adapter (EFA) networking on the 16xlarge, 24xlarge, 48xlarge, metal-24xl, and metal-48xl sizes, which enables lower latency and improved cluster performance for workloads deployed on tightly coupled clusters. C8gn instances are available in the following AWS Regions: US East (N. Virginia, Ohio), US West (Oregon, N.California), Europe (Frankfurt, Stockholm), Asia Pacific (Singapore, Malaysia, Sydney, Thailand), Middle East (UAE) To learn more, see Amazon C8gn Instances. To begin your Graviton journey, visit the Level up your compute with AWS Graviton page. To get started, see AWS Management Console, AWS Command Line Interface (AWS CLI), and AWS SDKs.
Quelle: aws.amazon.com

Amazon RDS and Aurora now support resource tagging for Automated Backups

Amazon RDS and Aurora now support resource tagging for automated backups and cluster automated backups. You can now tag your automated backups separately from the parent DB instance or DB cluster, enabling Attribute-Based Access Control (ABAC) and simplifying resource management and cost tracking.
With this launch, you can tag automated backups in the same way as other RDS resources using the AWS Management Console, API, or SDK. Use these tags with IAM policies to control access and permissions to automated backups. Additionally, these tags can help you categorize your resources by application, project, department, environment, and more, as well as manage, organize, and track costs of your automated backups. For example, create application specific tags to control permissions for describing, deleting, or restoring automated backups and to organize and track backup costs of the application.
This capability is available in all AWS Regions, including the AWS GovCloud (US) Regions where Aurora and RDS are available.
To learn more about tagging Aurora and RDS automated backups, see the Amazon documentation on Tagging Amazon Aurora resources, Tagging Amazon RDS resources, and Using tags for attribute-based access control.
Quelle: aws.amazon.com

AWS Partner Central now includes opportunity deal sizing

Today, AWS announces deal sizing capability in AWS Partner Central. This new feature, available within the APN Customer Engagements (ACE) Opportunities, uses AI to provide deal size estimates and AWS service recommendations. Deal Sizing capability allows Partners to save time on deal management by simplifying the process of estimating AWS monthly recurring revenue (MMR) when creating or updating opportunities. Partners can optionally import AWS Pricing Calculator URLs to automatically populate AWS service selections and corresponding spend estimates into their opportunities, reducing the need for manual re-entry. When a Pricing Calculator URL is provided, deal sizing delivers enhanced insights including pricing strategy optimization recommendations, potential cost savings analysis, Migration Acceleration Program (MAP) eligibility indicators, and modernization pathway analysis. These enhanced insights help Partners refine their technical approach and strengthen funding applications, accelerating the funding approval process. Deal sizing is now available in AWS Partner Central worldwide. The feature is accessible through both AWS Partner Central and the AWS Partner Central API for Selling, which is available in the US East (N. Virginia) Region. To get started, log in to AWS Partner Central in the console to create or update opportunities and view deal sizing insights. For API integration with your CRM system, see the AWS Partner Central API Documentation. To learn more about deal sizing, visit the Partner Central Sales Guide.
Quelle: aws.amazon.com

Amazon EC2 X8g instances now available in Europe (Stockholm) region

Starting today, Amazon Elastic Compute Cloud (Amazon EC2) X8g instances are available in Europe (Stockholm) region. These instances are powered by AWS Graviton4 processors, and they offer up to 3 TiB of total memory and increased memory per vCPU compared to other Graviton4-based instances. X8g instances are ideal for memory-intensive workloads, such as electronic design automation (EDA) workloads, in-memory databases (Redis, Memcached), relational databases (MySQL, PostgreSQL), real-time big data analytics, real-time caching servers, and memory-intensive containerized applications.
X8g instances offer larger instance sizes with up to 3x more vCPU (up to 48xlarge) and memory (up to 3TiB) than Graviton2-based X2gd instances. They offer up to 50 Gbps enhanced networking bandwidth and up to 40 Gbps of bandwidth to the Amazon Elastic Block Store (Amazon EBS). Elastic Fabric Adapter (EFA) networking support is offered on 24xlarge, 48xlarge, and bare metal sizes, and Elastic Network Adapter (ENA) Express support is available on instance sizes larger than 12xlarge.
X8g instances are currently available in the following AWS Regions: US East (N. Virginia, Ohio), US West (Oregon), and Europe (Frankfurt, Stockholm).
To learn more, see Amazon EC2 X8g Instances. To quickly migrate your workloads to Graviton-based instances, see AWS Graviton Fast Start program. To get started, see the AWS Management Console, AWS Command Line Interface (AWS CLI), and AWS SDKs.
Quelle: aws.amazon.com

Announcing Spatial Data Management on AWS to accelerate spatial-data insights

Today, AWS is announcing Spatial Data Management on AWS (SDMA), a solution that enables customers to store, enrich, and connect spatial data at scale. SDMA enables customers to store their multimodal spatial data representing their physical assets (3D, geospatial, behavioral, temporal data) in a secure, centralized cloud environment. SDMA serves as a collaborative hub enabling connectivity between customer’s spatial data, their ISV SaaS applications, and AWS Services. In addition, customers can use SDMA’s collection rules to define how their spatial data is organized and enriched, helping maintain consistency and governance. Customers can use SDMA’s APIs, desktop application, and web interface to efficiently manage spatial data to accelerate insights and informed decision making around physical operations.
SDMA centralizes customer’s spatial data in a secure and highly available cloud repository to enhance data transparency and accessibility across workflows. Leveraging SDMA’s automated metadata extraction for spatial data file formats, starting with: .LAZ, .E57, .GLB, and .GLTF, customers can improve data discoverability and relationships. SDMA’s REST APIs and customizable connectors simplify integrations with external applications — eliminating manual file handling and enhancing cloud and on-premises interoperability. SDMA’s intuitive web and desktop interfaces enable users across technical skill levels to manage spatial data efficiently. Auto-generated file previews are designed to improve workflow speed and data accuracy, they allow users to view and validate data without downloading large files.
SDMA is available in the following AWS regions: Asia Pacific (Tokyo, Singapore, Sydney), Europe (Frankfurt, Ireland, London), US East (N. Virginia, Ohio), US West (Oregon).
To learn more, visit the SDMA Product page.
Quelle: aws.amazon.com

Amazon Quick Suite integrates Quick Research with Quick Flows for report automation

Amazon Quick Suite now includes Quick Research as a step within Quick Flows. This integration enables teams to generate comprehensive research reports as part of automated, multi-step workflows, transforming research projects into reusable workflows that can be shared across their organization. Quick Suite is Amazon’s new AI-powered workspace that helps organizations get answers from their business data and move quickly from insights to action. With this integration, teams can trigger research automatically within their flows rather than conducting separate analysis. This addresses a critical productivity challenge by enabling teams to capture and scale proven research methods across hundreds of automated use cases. The integration also allows users to automate research workflows through scheduled triggers so users can set up flows that automatically generate research at specific times. Common use cases include automated account plan creation, standardizing product compliance analysis, and scheduled industry reports. Users benefit from pre-configured flows that generate research based on flow creator instructions and optional user inputs. The generated research report can be used further to automatically trigger downstream actions like updating a Salesforce opportunity for an account team to follow up on, posting on a Jira ticket for a compliance team to review, or creating an Asana task for a patent lawyer to approve. This unlocks “set and forget” workflows that deliver consistent analysis without manual heavy lifting. Now operating within these automated workflows, Quick Research maintains its core strength of streamlining analysis across diverse enterprise data sources while delivering verified, source-traced insights. For existing Flow users, this provides access to more comprehensive analysis. Quick Research with Flows integration is available in the following AWS Regions: US East (N. Virginia), US West (Oregon), Asia Pacific (Sydney), and Europe (Ireland). To learn more about automating your research needs, read the Quick Suite user guide.  
Quelle: aws.amazon.com