The Enterprise AI Show

The Enterprise AI Show explores the AI journey for Enterprise companies around the world. [formerly The Cloudcast]

As the AI revolution moves from experimentation to execution, The Enterprise AI Show provides the clarity needed to lead. Join Aaron Delp and Brian Gracely as they explore the intersection of generative AI, enterprise systems, and global business strategy. Each episode features clear-headed conversations with the people making actual decisions—founders, investors, and practitioners—focusing on the technical architectures and business models that drive real-world ROI.

New shows every Wednesday and Sunday.

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

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The Enterprise AI Show

Continuous Application Profiling

October 28, 2020 • Cloudcast Media

0:00 | 35:42

Hugo Kaczmarek (Product Manager) and Markus Hirt (Director Engineering) @Datadoghq talk about continuous application profiling in production, having better visibility in application environments, and managing performance budgets.

SHOW: 473

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SHOW NOTES:

Topic 1 - Welcome to the show and welcome back to the show. Before we dig into today’s topic, can you give us a little bit of your background and how you became focused in this area?

Topic 2 - Production used to be a pretty sacred and untouched environment. Now we’re seeing the need to create chaos in production, test in production, and know more about how things actually work in production. Let’s talk about this concept of “profiling”.

Topic 3 - People often talk about having to “instrument their code” to be able to get feedback. How does that differ from profiling, and what unique things does an application need to be profiled in production?

Topic 4 - On the surface, this seems like it would add quite a bit of overhead to the applications. How do you manage to find the right balance of performance and visibility?

Topic 5 - Help us understand how profiling fits into the bigger picture of all the tools needs - Logging, APM, Observability, etc?

Topic 6 - Is there a profile of who needs profiling? Is this every application team, or just for specific applications (e.g. event-streaming, etc.)?

FEEDBACK?