Based on our record, PlatformIO seems to be a lot more popular than AWS Greengrass. While we know about 55 links to PlatformIO, 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.
For the ESP32 in read mode, we've successfully developed a project using PlatformIO that accepts the key during build time and stores it in memory. Source: 8 months ago
Check out Zephyr OS and Platform IO. Zephyr is part of the Linux foundation and has similarities to Linux with how it performs hardware abstraction (device tree). Platform IO integrates with other frameworks including mbed and Arduino. Source: 9 months ago
PlatformIO together with avr-stub can be used to do source level debugging but there are some caveats. Source: 12 months ago
Look into https://platformio.org/, it can abstract over a few RTOSes, and can show you which OSes work with which chips/boards. Source: 12 months ago
If the HW looks like it works, you could also try alternate programming software. (e.g. TinyGo or PlatformIO). Source: about 1 year 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
Arduino IDE - Arduino is an open-source electronics prototyping platform based on flexible, easy-to-use hardware...
AWS IoT - Easily and securely connect devices to the cloud.
Visual Micro - Arduino IDE for Visual Studio and Atmel Studio
Particle.io - Particle is an IoT platform enabling businesses to build, connect and manage their connected solutions.
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.
embedXcode - embedXcode is a template for Xcode.