Based on our record, Docker seems to be a lot more popular than AWS Greengrass. While we know about 65 links to Docker, we've tracked only 5 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.
Similarly, Docker is a tool that helps developers package an application and all its parts—like code, libraries, and system settings—into a "container". This container can run on any computer, making sure the application works the same everywhere. Docker also lets you move these containers around easily, so you can run your app on any computer or even in the cloud without any fuss. And since containers are... - Source: dev.to / 1 day ago
Now make sure you have Docker installed and running, and then restart encore run to cause the site database to be created by Encore. Then let's call the site.add endpoint:. - Source: dev.to / 20 days ago
Docker is a platform designed to simplify the process of building, shipping, and running applications. It uses containerization technology to package an application and its dependencies into a standardized unit, called a container. Containers are lightweight and portable, and ensure that the application runs consistently across different environments like Windows and Linux. - Source: dev.to / about 1 month ago
To run locally you need to have Docker installed and running. - Source: dev.to / 6 months ago
To run the application locally, make sure you have Docker installed and running. This is required to run Encore applications with SQL databases. - Source: dev.to / 7 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 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
Kubernetes - Kubernetes is an open source orchestration system for Docker containers
AWS IoT - Easily and securely connect devices to the cloud.
Rancher - Open Source Platform for Running a Private Container Service
Particle.io - Particle is an IoT platform enabling businesses to build, connect and manage their connected solutions.
Portainer - Simple management UI for Docker
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.