Paul Appleby

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246 appearances 1 recordings 1 series first heard Jul 2026 last heard 15 Jul

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Eye On A.I. · 6 in 10 Enterprises Can't Find the Root Cause When Their AI Workloads Fail | Paul Appleby, Virtana · 15 Jul 2026 podcast

And as we were chatting about earlier before this conversation started,

It's then you can actually apply agentic capabilities because if you've got a full system view, you could then use agents to accelerate getting to causality and then actually automate remediation.

Yeah.

The short answer is yes, yes, and yes, but let me talk a little bit more about what I mean there, Craig, because to be able to do the kinds of things we're talking about of getting to true autonomous operations, you need to capture telemetry from the whole stack.

So over a period of many years, we've developed deep integrations into every layer of the stack in both

you know traditional infrastructure and now of course in this ai infrastructure um and and we're capturing 20 000 different metrics um in a sub-second um time frame and correlating and mapping uh those uh

metrics in near real time.

So it's, it's by capturing all of those metrics and correlating and mapping those and using our models to, to, you know, to see patterns that, that identify causality.

And of course the patterns that recommend remediation are really,

core to what Vertana does.

But it really is a really important thing to understand.

And one of the things I understood by having worked in other organizations in this observability sector is that you can't really apply agentic capabilities and expect to drive true autonomous outcomes unless you've got system-wide visibility.

and that kind of real-time, you know, dynamic mapping and correlation because it just doesn't work otherwise.

You've got some automation to a part of the stack as opposed to the full system.

And that's really what, you know, Vitana does.

And it is a really, really tough problem to solve, Craig, that ability to, you know, stream and ingest

That volume of metrics and then analyze, correlate, understand, and recommend dynamically is really core to what the Tana story is all about and why it's so powerful now in this AI era, because we can bring those core capabilities into these so-called AI factories and play a really important part in helping govern them.

Yeah, I mean, a lot to unpack there, Craig.

So let me take them piece by piece.

On the question of cyber, we don't position ourselves as a cybersecurity solution.

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