Mender.io VS AWS Greengrass

You will need something like https://mender.io https://www.balena.io an over the air update system, you are building and iot system so look into https://en.m.wikipedia.org/wiki/Over-the-air_update. Source: 5 months ago

Oh, what you are looking for is probably something like Mender. If you use Yocto + Mender you can track what version of the system image all your devices are using + tiered rollouts + other stuff. https://mender.io/. Source: almost 1 year ago

We were running balenaOS on several thousand customer devices in field, all managed through balenaCloud. It worked fine and the remote capabilities are extremely useful, but we eventually transitioned the entire fleet to Mender instead. There were several reasons for the transition:. Source: about 1 year ago

I've never used anything in the product space, but I've read through some of the docs because IoT deployment interests me in the context of most network devices having terrible deployment and update strategies. My favorite sales pitch was always Mender (https://mender.io) because it can be as simple as .img files and slice based booting. Unfortunately they changed their pricing a couple years ago and went from a... - Source: Hacker News / almost 2 years ago

From what has been stated thus far, it becomes obvious that most of the opportunities would be in enabling containers for embedded targets. Currently companies like pantacor, BalenaOS, Toradex, Mender, and Foundries all offer solutions for containers for Linux-based embedded targets. This means that these solutions cannot support all types of embedded targets as not all have the computational power to support the... - Source: dev.to / about 2 years 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 / about 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 / almost 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: almost 3 years ago