Enterprise IT systems have grown into sprawling, highly distributed environments spanning cloud infrastructure, applications, data platforms, and increasingly AI-driven workloads.

Observability tools have made it easier to collect metrics, logs, and traces, but understanding why systems fail and responding quickly remains a persistent challenge.

As complexity continues to rise, the industry is looking beyond dashboards and alerts

towards agentic AI systems that can reason about operational data, reduce toil, and take action

when things go wrong. Solar Winds offers solutions to monitor, understand,

and remediate issues across complex distributed systems. The company began as a leader in network

in infrastructure monitoring and has evolved to support modern applications, cloud environments,

containers, and AI workloads with the growing focus

on reducing operational toil.

Krishna Sai is the chief technology officer at SolarWinds.

He joins the show with Sean Falconer to discuss how SolarWinds is rethinking observability

in the age of AI, what it means to design agentic systems for mission

critical environments, how AI-assisted programming is reshaping engineering workflows, and why

the future of operations depends on building platforms where humans and autonomous agents work

together. This episode is hosted by Sean Falconer.

Check the show notes for more information on Sean's work and where to find him.

Hi, welcome to the show.

Thanks, Sean. It's great to see you and meet you. A big fan of the show. So thanks for having me here.

Oh, well, thank you so much. That's nice to hear. Yeah, I'm looking forward to this as well.

So I wanted to start off talking a little bit about, you know, solar winds and kind of set the stage there.

Because I think a lot of people know solar winds, maybe as like a single tool that they used,

you know, years ago, but you guys do a lot of different things. So given where you are today,

...