World Congress 2026 North America • Sep 25, 2026 • Session details

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

Eric Wang , Paul Zimmerman

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.

Starting at 3:46 · Watch from the beginning

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

Checking access…

Playback and chapters load privately for Free videos.

Matching moments

4:57 min

Centralizing LLMOps workflows within Azure AI Foundry

Maxim Salnikov Maxim Salnikov · LIVE

5:28 min

Defining MLOps and its role in production systems

Hauke Brammer · World Congress 2023

1:46 min

Balancing platform availability and security with AI feature releases

Laura Thorson Laura Thorson · World Congress 2026 Europe

3:47 min

Managing complex model dependencies using the RagStack AI framework

David Leconte David Leconte +1 · World Congress 2024

3:14 min

Building a community-governed LAMP stack for open AI

Raffi Krikorian Raffi Krikorian · World Congress 2026 Europe

3:50 min

Introduction to cloud native infrastructure and platform engineering

Christian Strack · LIVE

Upcoming sessions on this topic

Open session

Engineering AI Strategy: Beyond the Hype

  • Omkar Srivastava

    ADSK

    Engineering Leader

Open session

The Dream Team You Didn't Know You Had - Multi-Model, Multi-Agent, One Software Lifecycle

  • Aditya Dua

    GitHub

    Senior Manager, Field Services, SAARC

Open session

From Monolith to Phases: Restructuring Terraform Deployments That Work in Any Cloud

  • Naveen Kumar Kalapala

    Infosys Ltd

    Lead Cloud Engineer

Open session

Bypassing the GPU Tax: Smart Layer-7 Routing with Small Language Models (SLMs)

  • Sagar Utekar

    CrowdStrike

    SRE

Open session

Ship Happens: Guardrails for AI-Written Code

  • Anthony Nguyen

    LaunchDarkly

    Senior Solutions Engineer

Open session

Build Otto: Ship an AI Agent Without Redeploying

  • Abhishek Hiremath

    LaunchDarkly

    Senior Solutions Engineers