Background and problem description
In late 2016 we were approached with an opportunity to build a data pipeline for one of our large clients. The client needed to obtain sensor data and media (images, video, etc) from custom IoT devices built by one of their vendors. The goal was to capture and analyze metric to improve efficiency of a business process.
Ever since I had the privilege of attending DevOps Days Portland, I have been hearing the way people use the word “DevOps” in a whole new way. Most of the time, DevOps is not the word they should be using.
Here's part 2 in the series explaining our "full stack" at a high level. If you missed part 1, make sure to give it a read first. If you prefer, you can read the long-form post with all the content in one. Again, feel free to call me on any technicalities or suggest changes/additions in the comments!