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1
Intro
2
ML Platform goals
3
Background
4
Merlin Timeline
5
Merlin Early Vision
6
What is Ray?
7
Installing Ray
8
Ray Dashboard
9
Simple Ray Program
10
Tasks vs. Actors
11
Train Model with Ray XGBoost
12
ML Platform on Ray
13
Distributed Computation with Merlin Workspaces
14
Merlin Architecture
15
Merlin API
16
Merlin Workspace Details
17
Connecting to Merlin Workspaces
18
Isolating Merlin Workspaces
19
Structure of Merlin Project
20
Configuring a Merlin Project
21
Merlin CLI
22
Orchestration
23
User Workflow in Merlin
24
Balance
25
Building != Maintaining
26
Migration
27
What did we cover?
28
Acknowledgements
Description:
Explore Shopify's journey in building Merlin, their new machine learning platform, in this 48-minute conference talk from MLOps World. Dive into the process, architecture, and impact of Merlin on scaling ML work at Shopify. Learn about the open-source stack and tooling used end-to-end, including Ray for distributed computing. Discover the platform's goals, timeline, and early vision. Gain insights into Merlin's architecture, API, workspaces, and user workflow. Understand the challenges of building and maintaining such a platform, including migration considerations. Follow along as Isaac Vidas, Machine Learning Platform Tech Lead at Shopify, shares valuable lessons and acknowledges the team's efforts in this comprehensive case study.

Shopify's Machine Learning Platform Journey: Building Merlin with Open Source Tools

MLOps World: Machine Learning in Production
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