Blynk is a low-code IoT software platform for connecting devices to the cloud, building mobile apps to remotely control and monitor them, and managing thousands of users and deployed products. It’s a PaaS (Platform-as-a-Service) that helps businesses and individuals seamlessly progress from a prototype of a connected product to its commercial launch and further growth.
Based on our record, Blynk.io should be more popular than AWS Greengrass. It has been mentiond 9 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Blynk — A SaaS with API to control, build & evaluate IoT devices. Free Developer Plan with 5 devices,Free Cloud & data storage. Mobile Apps also available. - Source: dev.to / over 1 year ago
Https://blynk.io/ (you can find an example that uses their legacy API in one of my releases). Source: over 1 year ago
Like it says, to try and keep up with the changing well levels in the summer at my house, I put together a project to monitor well water levels and update a Blynk app. Source: over 1 year ago
Agreed about google and would add clarity. In the field of IT clarity is critical. If OP had said blynk.io, the .io would have clicked with me that it was a web site. Another guy just asked about PS/2 - I thought he meant the keyboard/mouse interface. Others twigged that he meant Playstation 2. Source: over 2 years ago
Oh, I'm not familiar with blynk.io thanks for the clarification. Source: over 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
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