Kategorie: Amazon AWS

AWS Marketplace Seller Reporting now provides collections visibility

Today, AWS announces collection visibility in AWS Marketplace Seller Reporting, which adds up-to-date payment collection status to the Billed Revenue Dashboard and Billing Event Data Feed. This enhancement enables sellers to distinguish between invoiced, collected, and disbursed amounts, eliminating the visibility gap between invoice creation and disbursement. With this feature, sellers can make informed business decisions and reduce unnecessary follow-ups with customers about payment status. Collection visibility particularly benefits sellers using monthly disbursement who previously waited up to 30 days to understand payment collection status. All AWS Marketplace sellers can now improve payment forecasting accuracy and detect collection issues earlier. This enhanced visibility streamlines seller operations and improves customer relationships by providing clarity on payment status. Collection visibility is available in all AWS Regions where AWS Seller Reporting is available. The feature launches on January 6th, 2026 for all AWS sellers. To access collection visibility, log into the AWS Marketplace Management Portal and navigate to Insights → Finance Operations
Quelle: aws.amazon.com

AWS Config now supports 21 new resource types

AWS Config now supports 21 additional AWS resource types across key services including Amazon EC2, Amazon SageMaker, and Amazon S3 Tables. This expansion provides greater coverage over your AWS environment, enabling you to more effectively discover, assess, audit, and remediate an even broader range of resources. With this launch, if you have enabled recording for all resource types, then AWS Config will automatically track these new additions. The newly supported resource types are also available in Config rules and Config aggregators. You can now use AWS Config to monitor the following newly supported resource types in all AWS Regions where the supported resources are available: Resource Types:

AWS::AppStream::AppBlockBuilder
AWS::IoT::ThingGroup

AWS::B2BI::Capability
AWS::IoTSiteWise::Asset

AWS::CleanRoomsML::TrainingDataset
AWS::Location::APIKey

AWS::CloudFront::KeyValueStore
AWS::MediaPackageV2::OriginEndpoint

AWS::Connect::SecurityProfile
AWS::PCAConnectorAD::Connector

AWS::Deadline::Monitor
AWS::Route53::DNSSEC

AWS::EC2::SubnetCidrBlock
AWS::S3Tables::TableBucketPolicy

AWS::ECR::ReplicationConfiguration
AWS::SageMaker::UserProfile

AWS::GameLift::Build
AWS::SecretsManager::ResourcePolicy

AWS::GuardDuty::MalwareProtectionPlan      
AWS::SSMContacts::Contact

AWS::ImageBuilder::LifecyclePolicy
 

Quelle: aws.amazon.com

Amazon ECS now supports tmpfs mounts on AWS Fargate and ECS Managed Instances

Amazon Elastic Container Service (Amazon ECS) now supports tmpfs mounts for Linux tasks running on AWS Fargate and Amazon ECS Managed Instances, extending beyond the EC2 launch type. With tmpfs, you can now create memory‑backed file systems for your containerized workloads without writing this data to task storage. tmpfs mounts provide a temporary file system that is backed by memory and exposed inside the container at a path you choose. This is ideal for performance‑sensitive workloads that need fast access to scratch files, caches, or temporary working sets, and for security‑sensitive data such as short‑lived secrets or credentials, because the data does not persist after the task stops. tmpfs also lets you keep the container root file system read‑only using the readonlyRootFilesystem setting while still allowing applications to write to specific in‑memory directories. To get started, update your task definition so that the container definitions include a linuxParameters block with one or more tmpfs entries. For each tmpfs mount, specify the containerPath, size, and optional mountOptions. You can register or update task definitions using the Amazon ECS console, AWS CLI, AWS CloudFormation, or AWS CDK. This feature is available in all AWS Regions where Amazon ECS, AWS Fargate, and Amazon ECS Managed Instances are supported. To learn more, see the LinuxParameters and Tmpfs sections in the Amazon ECS API Reference and the Amazon ECS Developer Guide.
Quelle: aws.amazon.com

AWS Resource Explorer is now available in AWS Asia Pacific (New Zealand) Region.

Today, AWS Resource Explorer has expanded the availability of resource search and discovery to the Asia Pacific (New Zealand) Region. With AWS Resource Explorer you can search for and discover your AWS resources across AWS Regions and accounts in your organization, either using the AWS Resource Explorer console, the AWS Command Line Interface (AWS CLI), the AWS SDKs, or the unified search bar from wherever you are in the AWS Management Console. For more information about the Regions where AWS Resource Explorer is available, see the AWS Region table. To turn on AWS Resource Explorer, visit the AWS Resource Explorer console. Read about getting started in our AWS Resource Explorer documentation, or explore the AWS Resource Explorer product page.
Quelle: aws.amazon.com

EC2 Capacity Manager now includes Spot interruption metrics

Today, AWS announces new Spot interruption metrics for Amazon EC2 Capacity Manager that allow you to better understand Spot capacity across your organization. EC2 Capacity Manager helps you monitor, analyze, and manage your EC2 capacity across On-Demand, Spot, and Capacity Reservations from a single location. With this new capability, you can now track how many Spot instances are running, monitor interruption counts, and calculate interruption rates across regions, availability zones, and accounts. This enables you to make data-driven decisions about your Spot instance strategy. EC2 Capacity Manager now includes three new metrics: ‘Spot Usage Total Count’, ‘Spot Total Interruptions’, and ‘Spot Interruption Rate. ‘Spot Usage Total Count’ shows the total number of distinct Spot instances or vCPUs that ran during a selected period, ‘Spot Total Interruptions’ tracks how many were interrupted, and ‘Spot Interruption Rate’ calculates the percentage of running instances that experienced interruptions. This data helps you identify patterns, compare across different regions and availability zones, and optimize your Spot instance strategy by diversifying instance types, expanding across availability zones, or using Spot placement score to identify optimal capacity pools with higher availability. EC2 Capacity Manager with Spot interruption metrics is available in all commercial AWS Regions enabled by default at no additional cost. To get started, visit EC2 Capacity Manager in the AWS console.
Quelle: aws.amazon.com

AWS Transfer Family is now available in AWS Asia Pacific (New Zealand) region

Customers in AWS Asia Pacific (New Zealand) Region can now use AWS Transfer Family for file transfers over Secure File Transfer Protocol (SFTP), File Transfer Protocol (FTP), FTP over SSL (FTPS) and Applicability Statement 2 (AS2). AWS Transfer Family provides fully managed file transfers for Amazon Simple Storage Service (Amazon S3) and Amazon Elastic File System (Amazon EFS) over SFTP, FTP, FTPS and AS2 protocols. In addition to file transfers, Transfer Family enables common file processing and event-driven automation for managed file transfer (MFT) workflows, helping customers to modernize and migrate their business-to-business file transfers to AWS. To learn more about AWS Transfer Family, visit our product page and user guide. See the AWS Region Table for complete regional availability information.
Quelle: aws.amazon.com

Amazon EC2 G5 instances are now available in Asia Pacific (Hong Kong) Region

Starting today, the Amazon Elastic Compute Cloud (Amazon EC2) G5 instances powered by NVIDIA A10G Tensor Core GPUs are now available in the Asia Pacific (Hong Kong) region. G5 instances can be used for a wide range of graphics intensive and machine learning use cases.
Customers can use G5 instances for graphics-intensive applications such as remote workstations, video rendering, and cloud gaming to produce high fidelity graphics in real time. Machine learning customers can use G5 instances for high performance and cost-efficient training and inference for natural language processing, computer vision, and recommender engine use cases. G5 instances feature up to 8 NVIDIA A10G Tensor Core GPUs and 2nd generation AMD EPYC processors. They also support up to 192 vCPUs, up to 100 Gbps of network bandwidth, and up to 7.6 TB of local NVMe SSD storage. With eight G5 instance sizes that offer access to single or multiple GPUs, customers have the flexibility to pick the right instance size for their applications.
Customers can easily optimize G5 instances for their workloads with NVIDIA drivers specific to compute, gaming or workstation workloads. Customers can purchase G5 instances as On-Demand Instances or Reserved Instances.
Quelle: aws.amazon.com

Amazon Connect now provides the capability to store nested JSON object and looping arrays

Amazon Connect now enables you to store and work with complex data structures in your flows, making it easy to build dynamic automated experiences that use rich information returned from your internal business systems. You can save complete data records, including nested JSON objects and lists, and reference specific elements within them, such as a particular order from a list of orders returned in JSON format. Additionally, you can automatically loop through lists of items in your customer service flows, moving through each entry in sequence while tracking the current position in the loop. This allows you to easily access item-level details and present relevant information to end-customers. For example, a travel agency can retrieve all of a customer’s itineraries in a single request and guide the caller through each booking to review or update their reservations. A bank can similarly walk customers through recent transactions one by one using data retrieved securely from its systems. These capabilities reduce the need for repeated calls to your business systems, simplify workflow design, and make it easier to deliver advanced automated experiences that adapt as your business requirements evolve. To learn more about these features, see the Amazon Connect Administrator Guide. These features are available in all AWS regions where Amazon Connect is available. To learn more about Amazon Connect, AWS’s AI-native customer experience solution, please visit the Amazon Connect website.
Quelle: aws.amazon.com

AWS Clean Rooms now supports detailed monitoring for collaboration queries

Today, AWS Clean Rooms announces the launch of detailed monitoring for SQL queries in a collaboration. This new capability publishes detailed metrics to CloudWatch for operational monitoring of collaborations, including query performance and resource utilization. You can choose to publish detailed monitoring metrics for SQL queries run in a Clean Rooms collaboration to CloudWatch, helping you improve the observability for your workloads at scale. The collaboration creator can enable detailed monitoring for a collaboration, and the analysis runner or configured payor can enable detailed monitoring when configuring their collaboration membership. For example, advertisers can monitor their campaign lift analysis queries in CloudWatch to identify performance issues and optimize costs. 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.
Quelle: aws.amazon.com

AWS launches simplified import of CloudTrail Lake data in Amazon CloudWatch

Today, AWS launches simplified import of CloudTrail Lake data in Amazon CloudWatch, a data management and analytics service that allows you to unify operational, security, and compliance data across your AWS environment and third-party sources. With this launch, you can now import your historical CloudTrail Lake data into CloudWatch with a few steps enabling you to easily consolidate operational, security, and compliance data in one place. In CloudWatch, you simply specify the CloudTrail Lake event data store (EDS), and the date range to initiate import of your CloudTrail data. Simplified import of CloudTrail Lake data is supported via the AWS console, CLI, and SDK. While simplified import of CloudTrail Lake data is available at no additional cost, you incur CloudWatch fees based on custom logs pricing. To learn more about simplified import of CloudTrail Lake data and supported AWS regions, visit the Amazon CloudWatch documentation.
Quelle: aws.amazon.com