In a previous post I reviewed how you can use EDA techniques to programmatically pull data from the Mist dashboard for large-scale analysis. But what if you don’t have access to the Mist dashboard – or if you need to work with a raw PCAP that has been provided? Packets don’t lie but a picture […]
Read More PCAPs and PANDASOr, 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 […]
Read More Learning MLOne 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 […]
Read More TROUBLESHOOTING W/ ML:
Concepts of Connection 