Learning ML

Or, in other words, learning how to learn how machines are learning. I’ve spent the last two years going on a self-guided learning journey to better understand AI/ML and how it can be creatively applied to the networking field. There are some great resources out there …. but there are also a LOT of resources […]

Networking EDA

Interesting in troubleshooting your network programmatically? One of the more valuable things I’ve learned while brushing up on AI/ML is exploratory data analysis (EDA) techniques. Here’s an example of using Jupyter notebooks and API calls to slice and dice through your production data to help make informed decisions. Problem Statement:A critical class of network clients […]

TROUBLESHOOTING W/ ML:

One of my favorite components of the Mist platform is the microservices architecture running underneath the hood. This architecture brings a lot of operational advantages – resiliency, stability, speed, scale – and it brings new features into the dashboard on a regular basis. Earlier this week we launched a new feature that I’ve been watching […]