# Eric Schwartz on what it takes to run an AI SRE at petabyte scale

DevFeed: [Eric Schwartz on what it takes to run an AI SRE at petabyte scale](<https://devfeed.tech/articles/eric-schwartz-on-what-it-takes-to-run-an-ai-sre-at-petabyte-scale-16015.md>)

Original publisher: [Read original article](<https://workos.com/blog/eric-schwartz-traversal-ai-sre-petabyte-scale>)

Author: WorkOS

Published: 2026-08-07T00:00:00Z

Content type: article

Language: en

Sources: [WorkOS Blog](<https://devfeed.tech/sources/workos-blog.md>)

Topics: [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [site-reliability-engineering](<https://devfeed.tech/topics/site-reliability-engineering.md>), [data-platforms](<https://devfeed.tech/topics/data-platforms.md>), [telemetry](<https://devfeed.tech/topics/telemetry.md>), [observability ai agents](<https://devfeed.tech/topics/observability-ai-agents.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [data](<https://devfeed.tech/tags/data.md>), [data-platforms](<https://devfeed.tech/tags/data-platforms.md>), [on-call](<https://devfeed.tech/tags/on-call.md>), [production](<https://devfeed.tech/tags/production.md>), [root-cause-analysis](<https://devfeed.tech/tags/root-cause-analysis.md>), [sre](<https://devfeed.tech/tags/sre.md>), [telemetry](<https://devfeed.tech/tags/telemetry.md>)

## AI overview

An interview with Traversal product manager Eric Schwartz examines how the company operates an AI site reliability engineer for large enterprises. The article explains that petabyte-scale telemetry requires continuously analyzing, compressing, and indexing data ahead of runtime, with an SRE-focused tool and prompt harness. Traversal reports that deployments are generally running in production within a week with minimal tuning, supported by forward-deployed engineering for last-mile optimization.

## Source excerpt

Traversal PM Eric Schwartz on data platforms, routing models by severity, and the permission ladder toward self-driving production, from AI Engineer 2026.