The Reasoning Show

The Reasoning Show AI moves fast. Thinking clearly matters more.

The Reasoning Show cuts through the hype to explore how the smartest people in enterprise AI actually make decisions — the strategy, the tradeoffs, and the hard lessons no press release mentions.

Every week, hosts Aaron Delp and Brian Gracely sit down with the founders building the tools, investors funding the shift, and operators running AI in the real world. Not hype. Not panic. Just clear-headed conversations with people who have to make actual decisions.

Because the AI revolution isn't just happening. It's being reasoned through.

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Topics: Enterprise AI strategy · LLMs in production · AI leadership · Agentic AI · Digital Sovereignty · Machine Learning · AI startups · Cloud Computing

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The Reasoning Show

Real-World SRE Perspectives

March 28, 2019 • Aaron Delp & Brian Gracely

0:00 | 35:27

SHOW: 391

DESCRIPTION: Brian talks with Gustavo Franco (@stratus, Customer Reliability Engineer at Google) about real-world experience as SRE/SRE Manager and CRE Manager, a discussion about how to measure SRE success, as well as how to onboard the SRE/CRE concepts and processes to new teams.

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SHOW INTERVIEW LINKS:

Gustavo's Background: https://conferences.oreilly.com/velocity/vl-ca/public/schedule/speaker/150125

SHOW NOTES:

Topic 1 - Welcome to the show. Tell us about your background, and some of the things you work on today as it relates to SRE and CRE teams.

Topic 2 - Let's talk about what SRE is intended to do, and maybe how it differs (or is the same) from existing teams that might be labeled "Ops" or "DevOps". Maybe we can also talk about some of the types of skills that highlight what SRE does.

Topic 3 - What are some of the ways to avoid an SRE (or CRE) team just becoming the band-aid team to fix all the things that developers don't want to put into code because they are under deadlines (security, bug fixed, scalability, etc.)?

Topic 4 - We're hearing more about these terms "AIOps" and "ChaosEngineering". How much can SRE/CRE teams augment applications through tools that either bring deeper insight (e.g. AIOps) or create scenarios that developers can't e

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