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

Advancements in Webscale Logging

May 01, 2019 • Aaron Delp & Brian Gracely

0:00 | 26:22

SHOW: 396

DESCRIPTION: Aaron and Brian talk with Renaud Boutet (@boutetren, VP Product Management @datadoghq) about logging, monitoring, observability, and the challenges of balancing the collection of the right data with the costs of all the data.

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SHOW INTERVIEW LINKS:

Datadog Homepage - Modern Monitoring and Analytics

SHOW NOTES:

Topic 1 - Welcome to the show. Tell us about some of your background prior to joining Datadog, and about your focus areas today.

Topic 2 - Let’s start with some conceptual buckets - how do you sort out the differences when people say “monitoring” vs. “logging” vs. “observability”?

Topic 3 - Logging has the inherent tradeoff between the desire to “log everything” and the limitation of costs to log (and retain everything). What are some of the trends to potentially make this tradeoff more manageable?

Topic 4 - At some point, the tradeoff between sending logs, filtering logs, storing logs all boils down to a financial trade-off of immediate costs vs potential costs associated with failure. How do you see those conversations playing out in real life? Any suggestions on a framework for doing those types of analysis?

Topic 5 - What role do you see AI playing in the future of Logging/Observability? It seems like that needs to become the next big step if the industry solves the challenges of logging/storage more and more.

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