AWS IoT RoboRunner, Now Available in Preview
AWS IoT RoboRunner is a new robotics service that makes it easier for enterprises to build and deploy applications that help fleets of robots work together seamlessly. With AWS IoT RoboRunner, it can be easier to build applications that make it possible to interoperate and orchestrate robots from a single view by reducing the complex development work required to connect robots to each other and the rest of an industrial software systems.
AWS IoT RoboRunner collects and combines data from each type of robot in a fleet and standardizes data types, like facility, location, and robotic task data in a central repository. Developers can use AWS IoT RoboRunner’s APIs and software libraries to build applications on top of the centralized repository for use cases, such as task orchestration, space management, and robot collaboration. With AWS IoT RoboRunner, enterprises can improve efficiency of robotics fleets and reduce costs of running robotic operations.
The AWS IoT RoboRunner service is available in preview in US East (N. Virginia) and Europe (Frankfurt) Regions.
AWS IoT SiteWise now supports hot and cold storage tiers for industrial data
AWS IoT SiteWise is a managed service to collect, store, organize, and monitor data from industrial equipment at scale. AWS IoT SiteWise now supports two storage tiers for equipment data: a hot tier optimized for real-time applications, and a cold tier optimized for analytical applications. The hot tier stores frequently accessed data with lower write-to-read latency. Users can store data in the hot tier for industrial applications that need fast access to the latest measurement values from equipment, such as applications that visualize real-time metrics with an interactive dashboard, or applications that monitor operations and trigger alarms to identify equipment performance issues. The cold tier stores less-frequently accessed data that can tolerate higher read latency. Use data from the cold tier to create applications that need access to historical data, such as business intelligence (BI) dashboards, artificial intelligence (AI) and machine learning (ML) training, historical reports, and backups.
By using the AWS IoT SiteWise cold tier, customers can lower their storage cost for less-frequently accessed data. AWS IoT SiteWise uses an Amazon S3 bucket in the customer account as the destination for cold tier data. Users can configure AWS IoT SiteWise storage tiers from the AWS IoT SiteWise console. All they need to do is provide the URL to an Amazon S3 bucket in their AWS account and define a hot data retention period after …….