Kategorie: Amazon AWS

Amazon Quick now supports multiple owners for admin-managed SharePoint and Google Drive knowledge bases

Amazon Quick now enables you to add co-owners to knowledge bases and data source connections for admin-managed Microsoft SharePoint Online and Google Drive integrations. This makes it easier to collaborate across teams and reuse existing connections without re-entering credentials. Knowledge base owners can share their knowledge bases with two roles: Owner (full management access including editing, syncing, sharing, and deleting) and Viewer (query-only access). Co-owner sharing with the Owner role is available exclusively for admin-managed SharePoint and Google Drive knowledge bases. All other knowledge base types support Viewer sharing only. To share, navigate to the actions menu next to any knowledge base or use the Permissions tab. Administrators can also share data source connections, allowing other users to create knowledge bases from the same connection. Data source sharing supports Owner (create knowledge bases and edit connection details) and Viewer (create knowledge bases only) roles. To share a data source, go to Manage account > Manage assets > Data sources and select the connection to share. This feature is available in all AWS Regions where Amazon Quick is available. For more information, see Knowledge Base Sharing in the Amazon Quick User Guide. Amazon Quick is available in US East (N. Virginia), US West (Oregon), Asia Pacific (Sydney), Asia Pacific (Tokyo), Europe (Frankfurt), Europe (London), and Europe (Ireland). For more information, visit the Amazon Quick page.
Quelle: aws.amazon.com

AWS Elastic Beanstalk AI-powered environment analysis now supports Windows

AWS Elastic Beanstalk AI-powered environment analysis is now available on Windows Server platforms. Previously available on Amazon Linux 2 and AL2023, this feature now extends to Windows-based environments, enabling you to quickly identify root causes and get recommended solutions for environment health issues. Elastic Beanstalk collects recent events, instance health, and logs from your Windows environment and sends them to Amazon Bedrock for analysis. With this expansion, developers and operations teams running .NET applications and other Windows workloads on Elastic Beanstalk can now diagnose and resolve environment issues faster without manually reviewing logs and events. You can request an AI analysis from the Elastic Beanstalk console using the AI Analysis button or using the AWS CLI with the RequestEnvironmentInfo and RetrieveEnvironmentInfo API operations. The analysis provides step-by-step troubleshooting recommendations tailored to your Windows environment’s current state.
AI-powered environment analysis is available in all AWS Regions where both AWS Elastic Beanstalk and Amazon Bedrock are available. For more information about the AI-powered environment analysis and for a full list of supported platform versions, see the Elastic Beanstalk developer guide. To learn more about Elastic Beanstalk, visit the Elastic Beanstalk product page.
Quelle: aws.amazon.com

Second-generation AWS Outposts racks now supported in the AWS Asia Pacific (Seoul, Sydney) and Europe (Paris) Regions

Second-generation AWS Outposts racks are now supported in the AWS Asia Pacific (Seoul, Sydney) and Europe (Paris) Regions. Outposts racks extend AWS infrastructure, AWS services, APIs, and tools to virtually any on-premises data center or colocation space for a truly consistent hybrid experience. Organizations from startups to enterprises and the public sector in and outside of South Korea, Australia, and France can now order their Outposts racks connected to this new supported region, optimizing for their latency and data residency needs. Outposts allows customers to run workloads that need low latency access to on-premises systems locally while connecting back to their home Region for application management. Customers can also use Outposts and AWS services to manage and process data that needs to remain on-premises to meet data residency requirements. This regional expansion provides additional flexibility in the AWS Regions that customers’ Outposts can connect to. To learn more about second-generation Outposts racks, read this blog post and user guide. For the most updated list of countries and territories and the AWS Regions where second-generation Outposts racks are supported, check out the Outposts rack FAQs page.
Quelle: aws.amazon.com

Attributed Revenue Dashboard Now Available in AWS Partner Central

Today, AWS announces the launch of the Attributed Revenue dashboard in AWS Partner Central in the AWS Console, giving Partners self-service visibility into the revenue impact of their solutions as measured by Partner Revenue Measurement. The dashboard displays aggregated monthly attributed revenue by Partner product, AWS service, and billing period. It provides consolidated insights from all three Partner Revenue Measurement capabilities—Resource Tagging, User Agent string, and AWS Marketplace Metering—in a single view.
Partners who implement Partner Revenue Measurement can now access the Attributed Revenue Dashboard through Partner Analytics to view monthly consumption patterns, monitor revenue trends over time, and verify that their implementation is actively measuring AWS service consumption driven by their solutions. Partners with multiple AWS Marketplace seller accounts can connect subsidiary accounts to see aggregated revenue across all connected accounts.
The Attributed Revenue Dashboard is available in all commercial regions for Partners that have migrated to AWS Partner Central in the AWS Console. To learn more about Partner Revenue Measurement, review the onboarding guide.
Quelle: aws.amazon.com

Amazon SageMaker supports notebooks and data agent for IdC domains

Amazon SageMaker Unified Studio now supports serverless notebooks with a built-in data agent for AWS IAM Identity Center (IdC) domains. Previously, the notebook experience and data agent were available only in IAM domains. With this launch, customers who use IdC for authentication and access management can access the high-performance, serverless notebook environment for analytics and machine learning (ML) workloads.
The serverless notebook gives data engineers, analysts, and data scientists one place to perform SQL queries, execute Python code, process large-scale data jobs, run ML workloads, and create visualizations. A built-in AI data agent accelerates development by generating code and SQL statements from natural language prompts and guides users through their tasks. Customers can flexibly combine SQL, Python, and natural language within a single interactive workspace, removing the need to switch between different tools based on the workload. For example, you can start with SQL queries to explore your data, use Python for advanced analytics or to build ML models, or use natural language prompts to generate code automatically. The notebook is backed by Amazon Athena for Apache Spark, scaling from interactive SQL queries to petabyte-scale data processing.
You can use the SageMaker notebook and data agent features in all AWS Regions where Amazon SageMaker Unified Studio is supported. To learn more, see the SageMaker notebooks user guide and the SageMaker data agent user guide. 
Quelle: aws.amazon.com

Amazon EC2 C8i instances are now available in Europe (Ireland) and Asia Pacific (New Zealand) regions

Starting today, Amazon Elastic Compute Cloud (Amazon EC2) C8i instances are available in the Europe (Ireland) and Asia Pacific (New Zealand) regions. These instances are powered by custom Intel Xeon 6 processors, available only on AWS, delivering the highest performance and fastest memory bandwidth among comparable Intel processors in the cloud. C8i instances offer up to 15% better price-performance, and 2.5x more memory bandwidth compared to previous generation Intel-based instances. They deliver up to 20% higher performance than C7i instances, with even higher gains for specific workloads. The C8i instances deliver up to 60% faster for NGINX web applications, up to 40% faster for AI deep learning recommendation models, and 35% faster for Memcached stores compared to C7i. C8i instances are a great choice for all memory-intensive workloads, especially for workloads that need the largest instance sizes or continuous high CPU usage. C8i instances offer 13 sizes including 2 bare metal sizes and the new 96xlarge size for the largest applications. To get started, sign in to the AWS Management Console. Customers can purchase these instances via Savings Plans, On-Demand instances, and Spot instances. For more information about the new C8i instances visit the AWS News blog.
Quelle: aws.amazon.com

Amazon EC2 C8i-flex instances are now available in Europe (Ireland, London), and Asia Pacific (New Zealand) regions

Starting today, Amazon Elastic Compute Cloud (Amazon EC2) C8i-flex instances are available in the Europe (Ireland, London), and Asia Pacific (New Zealand) regions. These instances are powered by custom Intel Xeon 6 processors, available only on AWS, delivering the highest performance and fastest memory bandwidth among comparable Intel processors in the cloud. C8i-flex instances offer up to 15% better price-performance, and 2.5x more memory bandwidth compared to previous generation Intel-based instances. They deliver up to 20% higher performance than C7i-flex instances, with even higher gains for specific workloads. The C8i-flex are up to 60% faster for NGINX web applications, up to 40% faster for AI deep learning recommendation models, and 35% faster for Memcached stores compared to C7i-flex. C8i-flex are the easiest way to get price performance benefits for a majority of compute intensive workloads like web and application servers, databases, caches, Apache Kafka, Elasticsearch, and enterprise applications. They offer the most common sizes, from large to 16xlarge, and are a great first choice for applications that don’t fully utilize all compute resources. To get started, sign in to the AWS Management Console. Customers can purchase these instances via Savings Plans, On-Demand instances, and Spot instances. For more information about the new C8i-flex instances visit the AWS News blog.
Quelle: aws.amazon.com

Amazon SageMaker Unified Studio now supports multiple code spaces within projects for IAM domains

Amazon SageMaker Unified Studio now lets data workers create and manage multiple code spaces (individually configured development environments) within a single project for IAM domains. Previously, projects were limited to one JupyterLab space and one Code Editor space embedded in the project. With this launch, you can now parallelly work on different workstreams or experiments with different compute and storage configuration needs, giving developers the flexibility they need as their workloads scale. For instance, data scientists can now work in parallel on any long running data transformation and model training workloads within the same project using separate spaces.
With multiple spaces, each one maintains its own persistent Amazon EBS volume, ensuring that your files, data, and session state are preserved independently. You can scale compute and storage up or down per space, pause and resume them at any time, and customize the runtime environment for each specific task. Spaces can either be opened in dedicated browser tabs or connected to a local IDE if you prefer your own development environment, with full functionality including Amazon Q paid tier support. This is particularly beneficial for builders who need isolated environments for parallel workstreams while still working within a single collaborative project. 
This feature is available in all AWS Regions where Amazon SageMaker Unified Studio is available. To learn more about code spaces in SageMaker Unified Studio projects, see Managing Code Spaces in the Amazon SageMaker User Guide.
Quelle: aws.amazon.com

Amazon EC2 for SQL Server HA now supports health notifications

Today, AWS announced that you can now receive notifications through the AWS Health Dashboard when Amazon EC2 for SQL Server cannot detect a valid SQL Server High Availability (HA) status.
This enhancement is particularly valuable for customers who register EC2 SQL HA clusters through AWS Console or CloudFormation automation to reduce license included costs. You can receive this notification through multiple channels, including AWS Health, Amazon EventBridge events, and email. These notifications will guide you to respond quickly, helping avoid unexpected billing costs or charges.
To learn more, access the High Availability for SQL Server on Amazon EC2 user guide for additional details.  This feature is accessible in all AWS Regions where Amazon EC2 SQL HA is available and the AWS GovCloud (US) Regions.
Quelle: aws.amazon.com

Amazon Bedrock AgentCore adds new features to help developers build agents faster

Today, Amazon Bedrock AgentCore introduces new features to help developers go from an idea to working agent prototype faster and manage the full agent lifecycle from a single platform: a managed harness (in preview), the AgentCore CLI, and AgentCore skills for coding assistants.
The managed harness (preview) lets developers define an agent by specifying a model, system prompt, and tools, then run it immediately with no orchestration code required. The harness manages the full agent loop: reasoning, tool selection, action execution, and response streaming. Each session gets its own microVM with filesystem and shell access. The harness is model agnostic with the ability to switch models mid-session. Any configuration set at create time can be overridden per invocation, so developers experiment without redeploying. When developers need full control, they can export the harness orchestration in Strands-based code. Filesystem persistence (preview) externalizes the local session state, allowing agents to suspend mid-task and resume exactly where they left off. As a prototype evolves, developers can easily add evaluations to measure quality, memory for personalization, or additional tools and skills. When it’s time to promote a validated concept, the AgentCore CLI deploys with the governance and audibility of infrastructure-as-code. AWS CDK is supported today as a resource manager, with Terraform coming soon. The AgentCore CLI has been optimized for coding assistant control, with pre-built skills that provide accurate, up-to-date AgentCore guidance. AgentCore skills are available today through Kiro Power, with support for Claude Code, Codex, and Cursor coming next week.
The managed harness (preview) in AgentCore is available in four AWS Regions: US West (Oregon), US East (N. Virginia), Europe (Frankfurt), and Asia Pacific (Sydney). The AgentCore CLI is available in 14 AWS Regions where AgentCore is available. There is no additional charge for the harness, CLI, or skills. Learn more through the blog, and visit the documentation to get started.
Quelle: aws.amazon.com