AWS RoboMaker, a service that makes it easy to develop, simulate, and deploy intelligent robotics applications at scale, is now available in the Asia Pacific (Tokyo) region. AWS RoboMaker extends the most widely used open-source robotics software framework, Robot Operating System (ROS), with connectivity to cloud service. Now you can build highly-available applications for your APAC-based simulations and deployments.

AWS is announcing the immediate availability of the new AWS Asia Pacific (Hong Kong) Region. The Hong Kong Region joins Singapore, Tokyo, Sydney, Beijing, Ningxia, Seoul, and Mumbai as the eighth active AWS Region in Asia Pacific and mainland China, and the 21st AWS Region worldwide. The AWS Asia Pacific (Hong Kong) Region consists of three Availability Zones and with this launch, the AWS Global Infrastructure now offers 64 Availability Zones worldwide, serving customers in over 190 countries. The new AWS Asia Pacific (Hong Kong) Region adds to the existing infrastructure AWS already has in Hong Kong SAR, which includes three Edge Network Locations, for customers looking to securely deliver data, videos, applications, and APIs to customers with low latency, high transfer speeds, all within a developer-friendly environment.

AWS now specifies the IP address ranges for Amazon DynamoDB endpoints. You can use these IP address ranges in your routing and firewall policies to control outbound application traffic. If you have an application that uses DynamoDB and need to lock down outbound access to the DynamoDB endpoints, you can use these IP address ranges. You also can use these ranges to control outbound traffic for applications in your Amazon Virtual Private Cloud , behind AWS Virtual Private Network or AWS Direct Connect .

Amazon SageMaker Ground Truth offers easy access to public and private human labelers and provides them with built-in workflows and interfaces for common labeling tasks to provide significant speed and cost benefits to labeling data for machine learning. SageMaker Ground Truth now offers simplified labeling workflows, support for additional labeling vendors, and has been extended to a sixth AWS region, making it even easier to build highly accurate training datasets. Successful machine learning models are built on the shoulders of large volumes of high-quality training data.

AWS RoboMaker, a service that makes it easy to develop, simulate, and deploy intelligent robotics applications at scale, has expanded its cloud extensions to ROS-Melodic users. AWS RoboMaker now provides the cloud extensions for Amazon Cloudwatch Logs for logging, Amazon Cloudwatch Metrics for monitoring, Amazon Lex for speech recognition, Amazon Polly for speech generation, Amazon Kinesis Video Streams for video streaming. For the latest ROS-Melodic packages, please visit here . 

Starting today, you can assign tags to GraphQL APIs in AWS AppSync. Tags are an easy and convenient way to categorize and track cost allocation for operations such as queries, mutations, and real-time updates.  

AWS Service Catalog now enables updating of tags on provisioned products and associated resources. With this feature you can now update tags on provisioned products to ensure that your current tagging taxonomy is applied to provisioned resources. Administrators can enable tag updating on provisioned products via a Resource Update constraint, and owners can then update their provisioned products and adjust tags. Tag-only updates will not affect running resources.

AWS Service Catalog allows organizations to create and manage catalogs of IT services that are approved for use on AWS. These IT services can include everything from virtual machine images, servers, software, and databases to complete multi-tier application architectures. AWS Service Catalog is used by enterprises, system integrators, and managed service providers to organize, govern, and provision cloud resources on AWS.

To learn more about Service Catalog Tag Update administration, please see the AWS Service Catalog Administrator Guide . To learn about how end users can now maintain tags, please see the AWS Service Catalog User Guide . 

Starting today, Amazon RDS is billed in one-second increments for database instances and attached storage. Pricing is still listed on a per-hour basis, but bills are now calculated down to the second and show usage in decimal form. There is a 10 minute minimum charge when an instance is created, restored or started.

AWS IoT Analytics today announced support for single step setup of IoT Analytics resources from AWS IoT Core, which allows you to create your IoT Analytics resources of channel, pipeline, data store, and SQL data set from IoT Core’s Rules console with just a click of a button, without manually configuring IAM role or permissions. This support comes in addition to the support of single step setup of IoT Analytics resources from the IoT Analytics console, which launched last month. Customers can now easily create IoT Analytics resources with a single step from both the IoT Analytics console and IoT Core console.

AWS IoT Analytics today announced support for single step setup of IoT Analytics resources from AWS IoT Core, which allows you to create your IoT Analytics resources of channel, pipeline, data store, and SQL data set from IoT Core’s Rules console with just a click of a button, without manually configuring IAM role or permissions. This support comes in addition to the support of single step setup of IoT Analytics resources from the IoT Analytics console, which launched last month. Customers can now easily create IoT Analytics resources with a single step from both the IoT Analytics console and IoT Core console.