Noah Labhart

Mesmo addresses this by moving observability upstream.

Instead of storing everything and asking questions later, Mesmo processes telemetry in motion, filtering, transforming, and enriching logs, metrics, and traces before they reach your observability backend.

The result is cleaner data, reduced ingestion costs, and faster root cause analysis using the tools you already rely on.

Mesmo integrates with platforms like Datadog, Dynatrace, and Open Source Stacks, giving teams more control without adding operational overhead.

This is especially useful for platform engineers and SREs supporting complex, distributed systems where context and speed matter.

To see how active telemetry works in practice, get a demo at mezmo.com slash codestory.

That's M-E-Z-M-O dot com slash codestory.

I'm curious about scale, right?

I'm curious about how you approach scale in the beginning.

And then, you know, have there been interesting areas where you've had to fight it as you've grown?

And that could be technology, approach, people, all the things.

So as you step out on the balcony and you look across all that you've built with Waylit, what are you most proud of?

Satya, let's flip the script a little bit.

Tell me about a mistake you made and how you and your team responded to it.

Satya, this will be fun.

Let's look towards the future.

What does the future look like for Waylet, for the product, for the company, for your team, all the things?

How are you integrating or utilizing some of the latest industry trends into the product?

Maybe like talk about AI or LLMs or things of that nature.

Tell me about that.