AWS reduces publishing time for Carbon Footprint Data to 21 days or Less

AWS is now publishing your carbon footprint data in 21 days or less. Previously, the carbon footprint data was published with up to a three month data lag. Now, you have access to your carbon footprint data with estimates published between the 15th and the 21st of the month following your usage. With carbon footprint data available sooner, you have the insights needed to make more timely decisions about how and where your applications are running and identify opportunities to reduce emissions and costs through improved resource efficiency. Also, the CCFT dashboard maintains 38 months of data so you can view your carbon usage trends over time. To view your carbon footprint data, navigate to your carbon emissions data through the AWS Billing and Cost Management console. For more information about CCFT visit the CCFT capabilities and features page, review the CCFT user guides, and learn more by visiting the CCFT webpage.
Quelle: aws.amazon.com

Amazon SageMaker AI is now available in Asia Pacific (New Zealand)

Starting today, you can build, train, and deploy machine learning (ML) models in Asia Pacific (New Zealand). Amazon SageMaker AI is a fully managed platform that provides every developer and data scientist with the ability to build, train, and deploy machine learning (ML) models quickly. SageMaker AI removes the heavy lifting from each step of the machine learning process to make it easier to develop high quality models.
To learn more and get started, see SageMaker AI documentation and pricing page.
Quelle: aws.amazon.com

AWS Direct Connect announces new location in Hanoi, Vietnam

Today, AWS announced the opening of a new AWS Direct Connect location within the CMC Tower in Hanoi, Vietnam. You can now establish private, direct network access to all public AWS Regions (except those in China), AWS GovCloud Regions, and AWS Local Zones from this location. This site is the first AWS Direct Connect location in Vietnam. This Direct Connect location offers dedicated 1 Gbps, 10 Gbps, and 100 Gbps connections, with MACsec encryption available for 10 Gbps and 100 Gbps connections.  The Direct Connect service enables you to establish a private, physical network connection between AWS and your data center, office, or colocation environment. These private connections can provide a more consistent network experience than those made over the public internet.  For more information on the over 149 Direct Connect locations worldwide, visit the locations section of the Direct Connect product detail pages. Or, visit our getting started page to learn more about how to purchase and deploy Direct Connect.
Quelle: aws.amazon.com

Amazon Connect launches additional details within real-time metric alerts

Amazon Connect alerts on real-time metrics now provide the specific agents, queues, flows, or routing profiles that exceeded thresholds and triggered the alert. This enables managers to respond faster to customer experience and operational issues by eliminating the need to manually investigate the root cause of the alert. For example, alerts on elevated queue wait times now include the exact queues affected, so managers can reassign agents to those queues. These detailed alerts can be sent through email, tasks, and Amazon EventBridge. 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

AWS IoT Device Management Commands now supports dynamic payloads

AWS IoT Device Management commands now supports dynamic payload functionality, enabling developers to create reusable command templates with placeholders that can be replaced with different values during command execution. The enhancement also includes parameter validation rules to verify that parameter values conform to specified criteria before execution. With this update, developers can now set parameters for the command during runtime, making it easier for them to re-use a command. This feature is ideal for scenarios where you need to send similar commands with different parameter values to your Internet of Things (IoT) devices. For example, instead of creating separate commands to set different temperature values of a thermostat, you can now create one template with a temperature placeholder and specify the actual value during runtime. This template-based approach helps streamline command management for applications, such as adjusting device configurations or controlling smart home devices with variable settings. 
AWS IoT Device Management commands with dynamic payload support is available in all AWS Regions where AWS IoT Device Management is currently available. To learn more about dynamic payloads and payload templates, visit AWS IoT Device Management Commands Developer Guide.
Quelle: aws.amazon.com

Amazon Quick Suite now supports memory for chat agents

We are announcing memory for chat agents in Amazon Quick Suite – a feature that allows users to get personalized responses based on their previous conversations. With this feature, Quick Suite remembers the preferences users specify in chat and generate responses that are tailored to them. Users can also view their inferred preferences and remove any memory they don’t want Quick chat agents to use. Previously, chat users needed to repeat their preferences around response format, acronyms, dashboards, and integrations in every conversation. They also had to clarify ambiguous topics and entities in chat, increasing the tedious back and forth needed to get accurate and insightful responses. Memory addresses this pain point by remembering facts and details about users in a way that ensures responses provided to users continuously learn and improve. Users also control what Quick Suite remembers about them – all the memories are viewable and removable by users, and users have the choice to start chat in Private Mode in which conversations are not used to infer memories. Memory in Quick Suite chat agents is available in US East (N. Virginia) and US West (Oregon). To learn more, visit the Amazon Quick Suite User Guide.
Quelle: aws.amazon.com

AWS Clean Rooms publishes events for member invitations and table readiness to EventBridge

AWS Clean Rooms now publishes events to Amazon EventBridge for new member invitations and table readiness, delivering real-time insights and increasing transparency to collaboration members. Invited members to a collaboration now receive an EventBridge notification when invited to a Clean Rooms collaboration, making it easier for members to review new invitations and join collaborations. Collaboration members are also notified when AWS Entity Resolution resources are associated to a collaboration, such as ID mapping tables and ID namespaces, enabling you to automatically start analysis that uses related records across collaborators’ datasets. For example, when a publisher invites an advertiser to a collaboration, the publisher can automatically run their media planning analyses as soon as the advertiser has created their ID mapping table in the collaboration, reducing time-to-action from hours to minutes and increasing transparency between collaboration members. With AWS Clean Rooms, customers can create a secure data clean room in minutes and collaborate with any company on AWS or Snowflake to generate unique insights about advertising campaigns, investment decisions, and research and development. For more information about the AWS Regions where AWS Clean Rooms is available, see the AWS Regions table. To learn more about collaborating with AWS Clean Rooms, visit AWS Clean Rooms or AWS Entity Resolution.
Quelle: aws.amazon.com

Amazon EC2 M8i-flex instances are now available in Asia Pacific (Sydney) Region

Starting today, Amazon EC2 M8i-flex instances are now available in Asia Pacific (Sydney) Region. 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. The M8i-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% better performance than M7i-flex instances, with even higher gains for specific workloads. The M8i-flex instances are up to 30% faster for PostgreSQL databases, up to 60% faster for NGINX web applications, and up to 40% faster for AI deep learning recommendation models compared to M7i-flex instances. M8i-flex instances are the easiest way to get price performance benefits for a majority of general-purpose workloads like web and application servers, microservices, small and medium data stores, virtual desktops, 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. For more information about the new instances, visit the M8i-flex instance page or visit the AWS News blog.
Quelle: aws.amazon.com

Amazon Route 53 launches detailed metrics for Resolver endpoints

Starting today, you can enable Amazon CloudWatch metrics for Route 53 to monitor the performance and health of Route 53 Resolver endpoints and any target name servers associated with your outbound Resolver endpoints. Amazon Route 53 Resolver endpoints make hybrid cloud configurations easier to manage by enabling seamless DNS query resolution between your on-premises data center and Amazon Virtual Private Cloud (Amazon VPC). The new metrics can be enabled on CloudWatch for each of your Resolver endpoints allowing you to assess the response latency of DNS queries received by the Resolver endpoints, the number of query responses that resulted in SERVFAIL, NXDOMAIN, REFUSED, or FORMERR statuses. You can also view the availability of target name servers associated with outbound Resolver endpoints, by viewing the response latency of the target server, and the number of queries that resulted in a timeout. The new metrics make it easy for you to quickly evaluate the health of your Route 53 Resolver endpoints and the associated target name servers. To learn more about the metrics, read the documentation or visit the Route 53 VPC Resolver page. Standard CloudWatch and Resolver endpoint charges are applied for using the Route 53 Resolver endpoint detailed metrics. For more information, see Amazon CloudWatch pricing and Resolver endpoint pricing.
Quelle: aws.amazon.com

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