Client Anomaly Detection – A Hackathon Retrospective

Earlier this year my team had a chance to compete in a hackathon. Effectively we were told to take our experience in the field, identify an issue that had been difficult to solve or detect with the existing toolset, and then solve it by (mostly) any means necessary. Speaking as someone that had been hand […]

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 […]