Tools like Gather Town to encourage more ad hoc group interaction. One team I led used this tool daily for nearly a year, and the frequency and quality of our interactions were on par with an in-person office. - Source: dev.to / 9 months ago

Well, after some more googling I found a good candidate: gather.town if anyone is interested. Source: 12 months ago

Our Guides will host live sessions throughout the April 28-30th weekend in our custom http://gather.town space to spark connections and learning among global participants. You'll form diverse teams, uncover shared goals, and explore a wide range of issues through the lens of Complexity! Source: about 1 year ago

I'm really digging gather.town for this. Our team has it set up & the ad-hoc "meetings" have gone up tremendously. You can choose to engage or not but it seems to be way more informal than slack for a quick sync, which is a gigantic strength imo. Source: about 1 year ago

As mentioned above by @yowzas648 you should check out https://gather.town We started using it this week with my team and it is game changing, it does exactly what you just described. Source: over 1 year ago

In this blog post series, we will demonstrate how to use AWS IoT Greengrass and Hashicorp Nomad to seamlessly interface with multiple interconnected devices and orchestrate service deployments on them. Greengrass will allow us to view the cluster as a single "Thing" from the cloud perspective, while Nomad will serve as the primary cluster orchestration tool. - Source: dev.to / over 1 year ago

AWS IoT Greengrass allows one to manage their IOT Edge devices, download ML models locally, so that inference can then be also be done locally. - Source: dev.to / about 2 years ago

To assist in deployment and management of workloads in your fleet, it's worth taking advantage of a fleet or device management tool such as AWS GreenGrass, Formant or Rocos. - Source: dev.to / over 2 years ago

In some cases, such as with edge devices, inferencing needs to occur even when there is limited or no connectivity to the cloud. Mining fields are an example of this type of use case. AWS IoT Greengrass enables ML inference locally using models that are created, trained, and optimized in the cloud using Amazon SageMaker, AWS Deep Learning AMI, or AWS Deep Learning Containers, and deployed on the edge devices. - Source: dev.to / over 2 years ago

Take a look at Greengrass https://aws.amazon.com/greengrass/ Enables OTA updates and fleet management. Source: about 3 years ago