AWS IoT Core VS AWS Greengrass

AWS IoT Core Reviews

AWS Greengrass Reviews

AWS IoT Core mentions (8)

• WebSockets, gRPC, MQTT, and SSE - Which Real-Time Notification Method Is For You?

  MQTT - AWS IoT Core offers a managed MQTT message broker, giving you easy access to your devices. Fun fact, this is what powers the notifications in Serverlesspresso. - Source: dev.to / 6 months ago

• Serverless Facial Recognition Voting Application Using AWS Services

  AWS IoT: For real-time communication between the server and the frontend application. - Source: dev.to / 12 months ago

• Building Serverlesspresso

  AWS IoT Core is a service that allows you to connect your devices securely to the AWS cloud and with ease. Option for device management, data processing as well as integration with other AWS services is provided. Click here for more on AWS IoT Core. - Source: dev.to / about 1 year ago

• Use EventBridge to handle API requests

  From here you can do all sorts of actions. For example, the serverless-coffee project used IOT Core. With IOT Core you can notify the end-user with status updates. And notify the barista that what kind of coffee needs to be created. - Source: dev.to / about 1 year ago

• API Gateway Websockets vs IoT Core

  When you need websockets in a project on AWS most likely API Gateway Websockets (I will refer to it as API Gateway from now on) is the first service coming to mind. At some point when looking into options, I ran into IoT Core instead. I thought this was meant only for very specific scenarios involving hardware; however it also supports MQTT over websockets which makes it an amazing choice for web and app. I think... - Source: dev.to / over 1 year ago

AWS Greengrass mentions (5)

• Orchestrating Application Workloads in Distributed Embedded Systems: Setting up a Nomad Cluster with AWS IoT Greengrass - Part 1

  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 Summit 2022 Australia and New Zealand - Day 2, AI/ML Edition

  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

• Applying DevOps Principles to Robotics

  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

• Machine Learning Best Practices for Public Sector Organizations

  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

• Looking for a good IoT overview + a simple tutorial

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