
AWS Greengrass
AWS IoT
Particle.io
Azure IoT Hub
AWS IoT 1-Click
Blynk.io
AWS IoT Core
Azure IoT Edge
GitHub Codespaces
replit
StackBlitz
CloudShell
vscode.dev
CodeTasty
AWS Cloud9
StackHive
AWS Greengrass
GitHub CodespacesBased on our record, GitHub Codespaces seems to be a lot more popular than AWS Greengrass. While we know about 152 links to GitHub Codespaces, we've tracked only 6 mentions of AWS Greengrass. 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.
AWS IoT Greengrass is an open-source IoT edge runtime developed by Amazon Web Services. It allows connected devices to perform data processing, run applications, and communicate locally, even when internet connectivity is limited or unavailable. Once devices reconnect, the system synchronizes seamlessly with AWS cloud services. - Source: dev.to / 10 months 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 3 years 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 4 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 4 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 4 years ago
First, remote dev environments became table stakes. GitHub Codespaces, Gitpod, and self-hosted dev containers became how serious teams worked. Every engineer I know who ships to production now SSHs into a box they didn't provision, edits files with whatever editor is installed, and commits from a terminal. An IDE-bound agent requires you to also forward your IDE to the remote box, which most people don't bother... - Source: dev.to / 3 months ago
This package provides support for managing GitHub Codespaces in Emacs and connecting to them via TRAMP. It provides a handy completing-read UI that lets you choose from all your created codespaces. - Source: dev.to / 4 months ago
GitHub Codespaces provides 60 hours of free compute time every month, which is more than enough for scoped home assignments or interviews. Itโs a full VSCode in the browser at github.dev or vscode.dev. - Source: dev.to / 8 months ago
GitHub Codespaces - Cloud development. - Source: dev.to / 12 months ago
https://github.com/features/codespaces All you need is a well-defined .devcontainer file. Debugging, extensions, collaborative coding, dependant services, OS libraries, as much RAM as you need (as opposed to what you have), specific NodeJS Versions โ all with a single click. - Source: Hacker News / over 1 year ago
AWS IoT - Easily and securely connect devices to the cloud.
replit - Code, create, andlearn together. Use our free, collaborative, in-browser IDE to code in 50+ languages โ without spending a second on setup.
Particle.io - Particle is an IoT platform enabling businesses to build, connect and manage their connected solutions.
StackBlitz - Online VS Code Editor for Angular and React
Azure IoT Hub - Manage billions of IoT devices with Azure IoT Hub, a cloud platform that lets you easily connect, monitor, provision, and configure IoT devices.
CloudShell - Cloud Shell is a free admin machine with browser-based command-line access for managing your infrastructure and applications on Google Cloud Platform.