Kategorie: Amazon AWS

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

SES Mail Manager is now available in 10 additional AWS Regions, 27 total

Amazon SES announces that the SES Mail Manager product is now available in 10 additional commercial AWS Regions. This expands coverage from the current 17 commercial AWS Regions where Mail Manager is launched, meaning that Mail Manager is now offered in all commercial Regions where SES offers its core Outbound service. SES Mail Manager allows customers to configure email routing and delivery mechanisms for their domains, and to have a single view of email governance, risk, and compliance solutions for all email workloads. Organizations commonly deploy Mail Manager to replace legacy hosted mail relays or simplify integration with third-party mailbox providers and email security solutions. Mail Manager also supports onward delivery to WorkMail mailboxes, built-in archiving with search and export capabilities, and integration with third-party security add-ons directly within the console. The 10 new Mail Manager Regions include Middle East (Bahrain), Asia Pacific (Jakarta), Africa (Cape Town), Middle East (UAE), Asia Pacific (Hyderabad), Asia Pacific (Malaysia), Europe (Milan), Israel (Tel Aviv), Canada West (Calgary), and Europe (Zurich). The full list of Mail Manager Region availability is here. To learn more, see the Amazon SES Mail Manager product page and the SES Mail Manager documentation. You can start using Mail Manager in these new Regions through the Amazon SES console.
Quelle: aws.amazon.com

Amazon Connect launches WhatsApp channel for Outbound Campaigns

Amazon Connect Outbound Campaigns now supports WhatsApp, expanding on the WhatsApp Business messaging capabilities that already allow customers to contact your agents. You can now engage customers through proactive, automated campaigns on their preferred messaging platform, delivering timely communications such as appointment reminders, payment notifications, order updates, and product recommendations directly through WhatsApp. Setting up WhatsApp campaigns uses the same familiar Amazon Connect interface, where you can define your target audience, choose personalized message templates, schedule delivery times, and apply compliance guardrails, just as you do for SMS, voice, and email campaigns. Previously, Outbound Campaigns supported SMS, email, and voice channels, while WhatsApp was available only for customers to initiate conversations with your agents. With WhatsApp support in Outbound Campaigns, you can now proactively reach customers through an additional messaging platform while maintaining a unified campaign management experience. You can personalize WhatsApp messages using real-time customer data, track delivery and engagement metrics, and manage communication frequency and timing to ensure compliance. This expansion provides greater flexibility to connect with customers on their preferred platforms while streamlining your omnichannel outreach strategy. This feature is available in all AWS Regions where Amazon Connect Outbound Campaigns is supported. To learn more, visit the Amazon Connect Outbound Campaigns documentation.
Quelle: aws.amazon.com

AWS Elastic Beanstalk now supports Node.js 24 on Amazon Linux 2023

AWS Elastic Beanstalk now enables customers to build and deploy Node.js 24 applications on Amazon Linux 2023 (AL2023) platform. This latest platform support allows developers to leverage the newest features and improvements in Node.js while taking advantage of the enhanced security and performance of AL2023.
AWS Elastic Beanstalk is a service that provides the ability to deploy and manage applications in AWS without worrying about the infrastructure that runs those applications. Node.js 24 on AL2023 delivers updates to the V8 JavaScript engine, npm 11, and security and performance improvements. Developers can create Elastic Beanstalk environments running Node.js 24 on AL2023 through the Elastic Beanstalk Console, CLI, or API.
This platform is available in all commercial AWS Regions where Elastic Beanstalk is available, including the AWS GovCloud (US) Regions. For a complete list of regions and service offerings, see AWS Regions.
To learn more about Node.js 24 on Amazon Linux 2023, see the AWS Elastic Beanstalk Developer guide. For additional information, visit the AWS Elastic Beanstalk product page.
Quelle: aws.amazon.com

Amazon SES adds VPC support for API endpoints

Today, Amazon Simple Email Service (SES) added support for accessing SES API endpoints through Virtual Private Cloud (VPC) endpoints. Customers use VPC endpoints to enable access to SES APIs for sending emails and managing their SES resource configuration. This release helps customers increase security in their VPCs. Previously, customers who ran their workloads in a VPC could access SES APIs by configuring an internet gateway resource in their VPC. This enabled traffic from the VPC to flow into the internet, and reach SES public API endpoints. Now, customers can use the VPC endpoints to access SES APIs without the need for an internet gateway, reducing the chances for activity in the VPC to be exposed to the internet.. SES supports VPC for SES API endpoints in all AWS Regions where SES is available. For more information, see the documentation for information about setting up VPC endpoints with Amazon SES.
Quelle: aws.amazon.com

Amazon SageMaker now supports self-service migration of Notebook instances to latest platform versions

Amazon SageMaker Notebook instance now supports self-service migration, allowing you to update your notebook instance platform identifier through the UpdateNotebookInstance API. This enables you to seamlessly transition from unsupported platform identifiers (notebook-al1-v1, notebook-al2-v1, notebook-al2-v2) to supported versions (notebook-al2-v3, notebook-al2023-v1). With the new PlatformIdentifier parameter in the UpdateNotebookInstance API, you can update to newer versions of the Notebook instance platform while preserving your existing data and configurations. The platform identifier determines which Operating System and JupyterLab version combination your notebook instance runs. This self-service capability simplifies the migration process and helps you keep your notebook instances current. This feature is supported through AWS CLI (version 2.31.27 or newer) and SDK, and is available in all AWS Regions where Amazon SageMaker Notebook instances are supported. To learn more, see Update a Notebook Instance in the Amazon SageMaker Developer Guide.
Quelle: aws.amazon.com