AWS Wickr now allows you to establish a network in the Asia Pacific (Tokyo) and Asia Pacific (Singapore) Regions to help you meet data residency requirements, and other obligations.

Today, AWS Marketplace announces the general availability of the tax dashboard for AWS Marketplace Sellers. The tax dashboard can be accessed in the AWS Marketplace Management Portal (AMMP) under the Insights > Finance operations tab. Previously, AWS Marketplace Sellers could only access taxation data through the legacy customer subscriber CSV report, or programmatically by Commerce Analytics Service (CAS).

AWS B2B Data Interchange now supports an expanded set of X12 transaction sets for finance, transportation, and supply chain use cases. These transaction sets add to the service’s existing support for dozens of other X12 transactions and extend the benefits of B2B Data Interchange’s fully automated, event-driven EDI transformation capabilities to new industry use cases.

Amazon Managed Service for Prometheus collector, a fully-managed agentless collector for Prometheus metrics from Amazon EKS workloads, now supports AWS CloudFormation. Starting today, you can easily create, configure, and manage Amazon Managed Service for Prometheus collectors using CloudFormation templates. With AWS CloudFormation, you can use a programming language or simple text file to automatically configure collectors for Prometheus metrics from Amazon EKS infrastructure and applications. You can also continue utilizing the Amazon Managed Service for Prometheus collector using the AWS Management Console, Command Line Interface (CLI) or API.

We are excited to announce new pricing for training custom tabular models in Amazon SageMaker Canvas, a no-code tool that enables customers to easily create highly accurate ML models without writing code. SageMaker Canvas supports numeric prediction (regression), 2 category prediction (binary classification), 3+ category prediction (multi-class classification), and time-series forecasting for tabular models. Previously, model training charges were based on the number of cells in the dataset used to train the model. Now, the charges are based on SageMaker training and processing hours used to train the model. 

AWS Amplify offers a fully managed web hosting service that accelerates your application release cycle by providing a CI/CD workflow for building and deploying web applications. Simply connect your application’s code repository in the console, and changes to your frontend and backend are deployed in a single workflow on every code commit.

We are excited to announce that Knowledge Bases for Amazon Bedrock now lets you create custom prompts to have greater control over personalizing the responses generated by the Foundation Model (FM). Additionally, you can configure the number of retrieved passages, which improves accuracy by providing added context to the FM.

Today, AWS announces the general availability of Amazon GuardDuty EC2 Runtime Monitoring. This feature deepens threat detection coverage for Amazon Elastic Compute Cloud (Amazon EC2). It gives you visibility into on-host, operating system–level activities and provides container-level context of detected threats. It complements runtime coverage already available for Amazon Elastic Kubernetes Service (Amazon EKS) and Amazon Elastic Container Service (Amazon ECS) on AWS Fargate, giving you comprehensive runtime visibility and detection across popular AWS compute services. 

Today, AWS IoT Core for LoRaWAN announces a new fleet monitoring application that enables developers capture and visualize critical operational and health parameters related to the functioning of LoRaWAN-based gateways and devices. AWS IoT Core for LoRaWAN is a fully managed LoRaWAN Network Server that supports cloud connectivity for LoRaWAN-based wireless devices. Using the new metrics feature, developers can now quickly capture system health data, such as connection signal strength, data rate, and gateway latency and analyze their fleet’s performance.

AWS now provides customers with a new AWS managed policy for Microsoft Windows Volume Snapshot Copy Service (VSS) in Amazon Elastic Compute Cloud(EC2) . With this policy, customers no longer have to configure individual permissions or create their own policies to manage VSS. Customers can simply use this new policy to ensure the necessary permissions are in place for creating application-consistent snapshots using the AWS VSS solution.