[🚀Launch Announcement] AWS IoT TwinMaker Launches Enhancements for Scaling Digital Twins and Building Data Connectors

AWS IoT TwinMaker is launching enhancements to simplify our customers’ experience as they scale their digital twins and build data connectors. AWS IoT TwinMaker makes it easier for developers to create digital twins of real-world systems such as buildings, factories, industrial equipment, and production lines. Digital twins are virtual representations of physical systems that can be regularly updated with real-world data to mimic the structure, state, and behavior of the systems they represent to drive business outcomes.

Prior to this launch, customers had to submit a request in order to support more than 1k entities per workspace. To make it easier for our customers to scale their digital twins, we have increased our service quota to support up to 10k entities per workspace. You can review the new AWS IoT TwinMaker service quotas here.

We have also have created a new guide to provide customers detailed instructions on developing time-series data connectors and how to connect that data to their digital twins faster. Lastly, we added a new built-in component for Amazon Kinesis Video Streams to help customers quickly connect and easily steam video to their digital twin. To learn more about the built-in Kinesis Video Streams component, please refer to this section in our developer guide.

Before getting started with AWS IoT TwinMaker, customers can experience a demo of a cookie factory digital twin dashboard with Amazon Managed Grafana here. To build this cookie factory digital twin dashboard, you can use the AWS IoT TwinMaker Getting Started example on GitHub to access all required resources and code. To learn more, please visit the developer guide.