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AWS Billing and Cost Management now supports PDF export and CSV data download for Dashboards

Today, AWS announces PDF export and CSV data download capabilities for AWS Billing and Cost Management Dashboards. These new features enable you to export your customized dashboards as PDF files for offline analysis and sharing, and download individual widget data in CSV format for detailed examination in spreadsheet applications. With these capabilities, you now have more ways to distribute AWS cost insights across your organization, in addition to sharing dashboards with can-view or can-edit access. Billing and Cost Management Dashboards allows you to export entire dashboards or individual widgets as PDF files directly from the console, eliminating the need for screenshots or manual formatting. The PDF export feature provides formatted reports that maintain consistent appearance and preserve dashboard layouts, making them ideal for sharing with stakeholders during board meetings, reviews, or strategic planning sessions. For detailed data analysis needs, you can export individual widget data in CSV format, enabling analysts to perform granular examination of specific cost metrics in their preferred spreadsheet tools. AWS Billing and Cost Management Dashboards PDF and CSV export features are available at no additional cost in all AWS commercial Regions, excluding AWS China Regions. To get started, visit the AWS Billing and Cost Management console and select “Dashboards” from the left navigation menu. For more information, see the AWS Billing and Cost Management Dashboards export user guide.
Quelle: aws.amazon.com

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Amazon Connect now supports multiple choice and date questions in evaluation forms

Amazon Connect provides two new evaluation question types to capture deeper insights on human and AI agent performance. Managers can now create questions that allow multiple answer selections, such as the products that the customer was interested in during a sales conversation. Additionally, managers can capture dates for customer and agent actions within evaluation forms. For example, you can record when a customer applied for a loan and when it was approved. This feature is available in all regions where Amazon Connect is offered. To learn more, please visit our documentation and our webpage.
Quelle: aws.amazon.com

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Amazon Managed Service for Apache Flink is now available in AWS Asia Pacific (Auckland) Region

Starting today, customers can use Amazon Managed Service for Apache Flink in Asia Pacific (Auckland) Region to build real-time stream processing applications. Amazon Managed Service for Apache Flink makes it easier to transform and analyze streaming data in real time with Apache Flink. Apache Flink is an open source framework and engine for processing data streams. Amazon Managed Service for Apache Flink reduces the complexity of building and managing Apache Flink applications and integrates with Amazon Managed Streaming for Apache Kafka (Amazon MSK), Amazon Kinesis Data Streams, Amazon OpenSearch Service, Amazon DynamoDB streams, Amazon Simple Storage Service (Amazon S3), custom integrations, and more using built-in connectors. You can learn more about Amazon Managed Service for Apache Flink here. For Amazon Managed Service for Apache Flink region availability, refer to the AWS Region Table.
Quelle: aws.amazon.com

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Amazon Elastic VMware Service (Amazon EVS) is now available in additional Regions

Today, we’re announcing that Amazon Elastic VMware Service (Amazon EVS) is now available in all availability zones in the US West (N. California), Asia Pacific (Hyderabad), Asia Pacific (Malaysia), Canada West (Calgary), Europe (Milan), Mexico (Central), and South America (São Paulo) Regions. This expansion provides more options to leverage the scale and flexibility of AWS for running your VMware workloads in the cloud. Amazon EVS lets you run VMware Cloud Foundation (VCF) directly within your Amazon Virtual Private Cloud (VPC) on EC2 bare-metal instances, powered by AWS Nitro. Using either our step-by-step configuration workflow or the AWS Command Line Interface (CLI) with automated deployment capabilities, you can set up a complete VCF environment in just a few hours. This rapid deployment enables faster workload migration to AWS, helping you eliminate aging infrastructure, reduce operational risks, and meet critical timelines for exiting your data center. The added availability in these Regions gives your VMware workloads lower latency through closer proximity to your end users, compliance with data residency or sovereignty requirements, and additional high availability and resiliency options for your enhanced redundancy strategy. To get started, visit the Amazon EVS product detail page and user guide. 
Quelle: aws.amazon.com

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Announcing cost allocation using users’ attributes

AWS announces a new cost allocation feature that uses existing workforce user attributes like cost center, division, organization, and department to track and analyze AWS application usage and cost. This new capability enables customers to allocate per-user monthly subscription and on-demand fees of AWS applications, such as Amazon Q Business, Amazon Q Developer, and Amazon QuickSight, to respective internal business units. Customers should import their workforce users’ attributes to IAM Identity Center, the recommended service for managing workforce access to AWS applications. After importing the attributes, customers can enable one or more of these attributes as cost allocation tags from the AWS Billing and Cost Management console. When users access AWS applications, their usage and cost are automatically recorded with selected attributes. Cloud Financial Operations (FinOps) professionals can view and analyze costs in AWS Cost Explorer and AWS CUR 2.0, gaining visibility into how different teams drive AWS usage and costs. Support for cost allocation using user attributes is generally available in all AWS Regions, excluding GovCloud (US) Regions and China (Beijing) and China (Ningxia) Regions. To learn more, see organizing and tracking cost using AWS cost allocation tags.
Quelle: aws.amazon.com