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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 controlli

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.

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 Di

AWS Security Incident Response now offers integration with the cloud-based team collaboration platform Slack, enabling you to prepare for, respond to, and recover from security events faster and more effectively while maintaining your existing notification and communication workflows. With the bidirectional integration, you can create and update cases in both the Security Incident Response console and Slack with automatic data replication. Each Security Incident Response case is represented as a dedicated Slack channel, while comments and attachments sync instantly. This gives responders immediate access to critical case information and enables more efficient collaboration regardless of tool preference. The integration helps security teams engage faster and accelerate response times by automatically adding Security Incident Response watchers to the corresponding Slack channel. This integration

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.

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

Starting today, Amazon EC2 M8i instances are now available in Asia Pacific (Seoul), Asia Pacific (Tokyo), Asia Pacific (Sydney), Asia Pacific (Singapore), and Canada (Central) 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. The M8i 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 instances, with even higher gains for specific workloads. The M8i 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 instances. M8i instances are a great choice for all general purpose workloads, especially for workloads that need the largest instance sizes or continuous high CPU usage.

AWS Artifact now enables direct access to previous versions of AWS compliance reports, eliminating the need to contact AWS Support or account representatives. This self-service capability helps customers efficiently manage their compliance documentation requirements, particularly during audits and vendor assessments that require historical compliance evidence. To access previous report versions, you need the "artifact:ListReportVersions" IAM permission, which is included in the AWS managed policy "AWSArtifactReportsReadOnlyAccess". If you're unable to view previous versions of reports in the AWS Artifact console, please contact your AWS account administrator to request this permission. Once authorized, you can access previous versions of compliance reports (such as SOC, ISO, and C5) directly through the AWS Artifact console. Simply navigate to the reports page and select any report to view its available versions. The availability of previous report versions varies

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

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