Learn how to set up a Continuous deployment pipeline for AWS IoT Greengrass v2 from GitHub actions. Leverage the power of the Greengrass Development Kit - Command Line Interface (GDK CLI) to streamline your workflow and deploy more often with more confidence.
Learn how to set up a simple AWS IoT Greengrass v2 Learning environment that can be used in a wider range of tutorials to get you fully educated on how to use Greengrass on projects.
In this post we explore the new AWS IoT Greengrass V2 and create a recipe and component for controlling an IoT cat feeder.
Join us as we go through the A to Z of IoT from an AWS perspective. We won't be using buzzwords or hand-waving, just talking about the awesome services and how they can be used more effectively.
AWS IoT Secure Tunneling is a managed proxy meant for devices positioned behind secure firewalls on remote sites. A secure tunnel can be created using temporary credentials allowing access to the device on configurable ports. The secure tunneling process requires a bidirectional link to be established before communication can proceed.
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.
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.
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.