007 – Building Products to Solve Fundamental OSS Problems with Jay Fenton

Jay Fenton is the Founder and CEO of Savvi, makers of innovative and highly performant OSS/BSS components that redefine the state of the art. Savvi’s portfolio notably includes SNMP, Streaming Telemetry, Netflow and IoT collectors each of which operate in the 10s of millions of events per second on a single server, solving collection problems for massive networks. We also mention Luna – a unique visualisation platform for situational awareness, customer experience management and AI/ML overwatch. Luna fluidly combines multi-layer spatial, logical and time-series data, at massive scale.

Jay is a serial entrepreneur and has built a number of products from the ground up. When we say the ground up, we mean it, as he’s re-written low-level data handling libraries to be able to process data volumes far larger than previous industry standards. As well as developing OSS tools, Jay is also currently working on side projects in Virtual Reality and SocialAudio.

This is a much longer show than normal but we pack a lot into this episode. Jay delves into a history of phone phreaking as a teenager and his early days of administering carrier voice & IP networks all the way through to the many product opportunities that he sees today. We cover a range of ideas, old and new, including: cloud OSS, telcos as meta companies, the disruption of satellite internet, the potential for an entire OSS on Salesforce, the complexities of network virtualisation, ONAP, microservices, open-source, 5G plus mobile-edge compute (MEC), Rube Goldberg machines, open source in telco, risk/reward and the recent changes in the Elastic license model, and finally mixed reality (AR / VR / XR).

For further questions you may have for our guest, Jay can be found “on the Internet” (his words). We found him at https://www.linkedin.com/in/jfenton/

Leave a Reply

Your email address will not be published. Required fields are marked *

This site uses Akismet to reduce spam. Learn how your comment data is processed.