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# It’s Alive! Taming the MLOps Franken-Stack: Write, Run, and Serve with Michelangelo

How does Uber handle 45 million predictions per second without breaking its Python workflows? Discover how the open-sourced Michelangelo platform tames the MLOps Franken-stack to unify your ML lifecycle.

- **Speakers:** [Eric Wang](https://www.wearedevelopers.com/@eric-wang), [Paul Zimmerman](https://www.wearedevelopers.com/@paul-zimmerman)
- **Event:** World Congress 2026 North America
- **Published:** September 25, 2026
- **Duration:** 29:19
- **URL:** https://www.wearedevelopers.com/videos/100383-it-s-alive-taming-the-mlops-franken-stack-write-run-and-serve-with-michelangelo
- **Thumbnail URL:** https://customer-goifxnzhrq3d0d54.cloudflarestream.com/39a4a17f7788529a512da7b07d8bd92b/thumbnails/thumbnail.jpg?time=228591ms

## Access

Playback and chapters for this video are available with a Free account.

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- [Managing complex model dependencies using the RagStack AI framework](https://www.wearedevelopers.com/videos/966-accelerating-genai-development-harnessing-astra-db-vector-store-and-langflow-for-llm-powered-apps) (from "Accelerating GenAI Development: Harnessing Astra DB Vector Store and Langflow for LLM-Powered Apps")
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- [Building a community-governed LAMP stack for open AI](https://www.wearedevelopers.com/videos/100065-the-8th-layer-building-the-open-ai-stack-before-it-builds-you) (from "The 8th Layer: Building the Open AI Stack Before It Builds You")
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