What if you could see your application and infrastructure represented spatially instead of two-dimensional dashboard tabs, similar to atoms in a molecule or stars in the sky? According to Matt Young, founder and co-chair of the Cloud Native Computing Foundation (CNCF) technical advisory group (TAG) on observability, this will soon be a reality thanks to advanced AI models, knowledge graphs, and emerging data storage techniques such as columnar stores. In this episode, Matt discusses the implications of these new technologies for SREs, developers, and software supply chain security.

Charity Majors pioneered the term 'observability' as co-founder and CTO of Honeycomb.io, based on her experience building and managing distributed systems at Parse, Facebook, and Linden Lab building Second Life. She is the co-author of the O'Reilly books Observability Engineering and Database Reliability Engineering. Her Honeycomb bio adds that she "loves free speech, free software and single malt scotch."

In this interview with Informa TechTarget senior news writer Beth Pariseau, Majors covers the interplay between AI and observability, "Observability 2.0," and urges site reliability engineers to lean into AI agents, even if they seem to be replacements.

Multifaceted connection points are emerging between observability and AI, from monitoring and improving AI models themselves to observing the ways the behavior of AI agents differs from traditional web apps. In short, AI-driven automation makes new kinds of observability workflows both necessary and possible.

This season of IT Ops Query will feature interviews with a variety of industry expert guests on how AI, including agentic AI, will change observability, as well as how observability will change AI. Join me starting March 20th, wherever you get your podcasts.