# mercari/ml-system-design-pattern

System design patterns for machine learning

Repository: https://github.com/mercari/ml-system-design-pattern
Canonical: https://ross.abutalabs.com/products/ml-system-design-pattern
License: MIT
License Family: permissive
Last push: 2021-10-07T21:57:44+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2324, "days_push": 1791, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2926, forks 340 (observed 2026-08-28T04:07:30.438711+00:00)

## What it is
A documentation collection of system design patterns for building, serving, and operating machine learning systems in production, published by Mercari as a GitHub Pages site. It covers serving patterns, QA/evaluation patterns, and antipatterns, with sample implementations in a companion repository.

## Use cases
- design a model serving architecture for production
- learn MLOps system design patterns
- choose between synchronous and asynchronous prediction serving
- set up A/B testing for machine learning models
- avoid common ML system antipatterns
- deploy ML models on Kubernetes or cloud

## When to choose
- you are architecting ML systems for production deployment
- you want reference designs for model serving, monitoring, and QA
- you need language-agnostic ML infrastructure guidance

## When to avoid
- you need runnable production code rather than design documentation
- you are looking for patterns to improve model accuracy
- you need actively updated content - the repository has not seen releases since 2021

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: documentation, machine-learning, deployment, monitoring, testing
- domain: machine-learning, tutorials, cloud-computing
- platform: cloud, python
- tags: ml-system-design, mlops, design-patterns, model-serving, production-ml, architecture-patterns, devops, architecture, kubernetes

## Member repositories
- mercari/ml-system-design-pattern (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:30.438711+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T07:33:36.952793+00:00, confidence not recorded.
  - readme: https://github.com/mercari/ml-system-design-pattern (fetched 2026-08-28T04:07:30.438711+00:00, sha d94bca1b5212)
- Data as of 2026-08-30T08:39:29.467469+00:00.