Tag: Internet

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 yo

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 Rep

Amazon MQ now supports the ability for RabbitMQ brokers to perform authentication (determining who can log in) and authorization (determining what permissions they have) by making requests to an HTTP server. This plugin can be configured on brokers running RabbitMQ 4.2 and above on Amazon MQ by making changes to the associated configuration file. To start using HTTP based authentication and authorization on Amazon MQ, simply select RabbitMQ 4.2 when creating a new broker using the m7g instance type through the AWS Management console, AWS CLI, or AWS SDKs, and then edit the associated configuration file. To learn more about the plugin, see the Amazon MQ release notes and the Amazon MQ developer guide. This plugin is available in all

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

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

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 documentatio

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

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 Total Count’, ‘Spot Total Interruptions’, and ‘Spot Interruption Rate. ‘Spot 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

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

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