> Markdown version of [/videos/100383-it-s-alive-taming-the-mlops-franken-stack-write-run-and-serve-with-michelangelo](https://www.wearedevelopers.com/videos/100383-it-s-alive-taming-the-mlops-franken-stack-write-run-and-serve-with-michelangelo). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # 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 ## Access Playback and chapters for this video are available with a Free account. ## Related Moments - [Centralizing LLMOps workflows within Azure AI Foundry](https://www.wearedevelopers.com/videos/1250-from-traction-to-production-maturing-your-llmops-step-by-step) (from "From Traction to Production: Maturing your LLMOps step by step") - [Defining MLOps and its role in production systems](https://www.wearedevelopers.com/videos/825-mlops-on-kubernetes-exploring-argo-workflows) (from "MLOps on Kubernetes: Exploring Argo Workflows") - [Balancing platform availability and security with AI feature releases](https://www.wearedevelopers.com/videos/100106-craftsmanship-in-the-age-of-agents) (from "Craftsmanship in the Age of Agents") - [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") - [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") - [Introduction to cloud native infrastructure and platform engineering](https://www.wearedevelopers.com/videos/885-platform-engineering-vs-devops-why-not-both) (from "Platform Engineering vs. DevOps Why not both?") ## Related Articles - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) ## Related Jobs - [MLOps AI Engineer](https://www.wearedevelopers.com/jobs/ext/2565312-mlops-ai-engineer) at **TeamViewer Germany GmbH,** - [ML Engineer](https://www.wearedevelopers.com/jobs/48448-ml-engineer) at **Docker, Inc.** - [Staff ML Engineer](https://www.wearedevelopers.com/jobs/48463-staff-ml-engineer) at **Docker, Inc.** - [ML Engineer](https://www.wearedevelopers.com/jobs/48422-ml-engineer) at **Sciforium** - [AI Platform / LLMOps Engineer (m/f/x)](https://www.wearedevelopers.com/jobs/48487-ai-platform-llmops-engineer-m-f-x) at **1st solution consulting gmbh** - [LLM Training Engineer](https://www.wearedevelopers.com/jobs/48420-llm-training-engineer) at **Sciforium**