AWS IoT Greengrass recently got Docker support; a much needed addition to the suite of edge tooling available at our disposal. As with most new IoT Greengrass feature, it can be a bit bumped to get setup with. I would know, I fought through the setup process on the day of release and ran into a couple quirks that I figure I’ll share with the world in the form of an unofficial guide.
Dive into Detect; a sub feature of Device Defender Detect that allows you to craft your own detection profiles using both cloud-side and device-side metrics.
For this deployment we’ll be describing how to setup Greengrass Core on a Raspberry Pi. This is part of a bigger post called Greener Grass.
Deploy a learning environment called Greener Grass that effectively boostraps all the AWS IoT and Greengrass configuration for you. This allows you to be able to learn about the advanced IoT features in a friendly & repeatable way.
In this guide we’ll be looking at how to build and bundle ROS applications specifically for the Raspberry Pi ARMHF architecture using Cloud9. The final goal is to have the bundled application deployed over AWS RoboMaker.
Selfie2Anime was a successful use of Image-to-Image translation using UGATIT. In this post we learn how to setup a development environment capable of running UGATIT, then train out own variation of a model.
Learn how to deploy an AWS IoT Greengrass Core node onto a Raspberry Pi with AWS CloudFormation.
Flutter CI/CD with Codemagic, Sylph & AWS Device Farm. Easy & Reliable integration testing on real hardware devices; learn how to ensure your Flutter apps run on all device types (iOS & Android)
Learn to use NoSQL Workbench with Amazon DynamoDB to create a leaderboard system with global secondary indexes.
AWS RoboMaker is a development, deployment and simulation platform for ROS (Robot Operating System). We explore why Simulating robots on AWS is a big deal, and how you can do it too!