# chiphuyen/machine-learning-systems-design architecture

> Architecture diagram of the GitHub repository chiphuyen/machine-learning-systems-design, generated by GitDiagram from its file tree, README and a sample of source files (last updated 2026-10-01). It is an AI-made overview: check details against the source.

- Interactive diagram: https://gitdiagram.com/chiphuyen/machine-learning-systems-design
- Repository: https://github.com/chiphuyen/machine-learning-systems-design

## Overview

This repository is the source for a machine-learning systems design booklet, not a running ML system. Its main reader journey covers project setup, data pipelines, modeling, and serving, with case studies, exercises, and community answers as companion material. The README documents the booklet’s scope and HTML/PDF formats; the sampled source only confirms a small HTML script, so internal rendering and navigation links are not inferred.

Main entry points: [`content/design-a-machine-learning-system.md`](https://github.com/chiphuyen/machine-learning-systems-design/blob/master/content/design-a-machine-learning-system.md) (Data Pipeline), [`content/case-studies.md`](https://github.com/chiphuyen/machine-learning-systems-design/blob/master/content/case-studies.md) (Case Studies), [`content/exercises.md`](https://github.com/chiphuyen/machine-learning-systems-design/blob/master/content/exercises.md) (Exercises), [`answers`](https://github.com/chiphuyen/machine-learning-systems-design/tree/master/answers) (Community Answers)

## Diagram (Mermaid)

```mermaid
flowchart TD

subgraph group_workflow["Design Workflow"]
  node_setup["Project Setup"]
  node_data["Data Pipeline"]
  node_modeling["Modeling"]
  node_serving["Serving"]
end

subgraph group_resources["Learning Resources"]
  node_cases["Case Studies<br/>[case-studies.md]"]
  node_exercises["Exercises<br/>[exercises.md]"]
  node_answers["Community Answers"]
end

subgraph group_publication["Booklet Structure"]
  node_toc["Table of Contents<br/>[toc.html]"]
  node_html_layout["HTML Layout<br/>[html.html]"]
  node_pdf_layout["PDF Layout<br/>[pdf.html]"]
end

node_reader(("Reader"))

node_reader -->|"reads booklet"| node_toc
node_setup -->|"next step"| node_data
node_data -->|"next step"| node_modeling
node_modeling -->|"next step"| node_serving
node_reader -->|"reads examples"| node_cases
node_reader -->|"reads questions"| node_exercises
node_reader -->|"reads answers"| node_answers
node_reader -->|"reads HTML edition"| node_html_layout
node_reader -->|"reads PDF edition"| node_pdf_layout

click node_setup "https://github.com/chiphuyen/machine-learning-systems-design/blob/master/content/design-a-machine-learning-system.md"
click node_data "https://github.com/chiphuyen/machine-learning-systems-design/blob/master/content/design-a-machine-learning-system.md"
click node_modeling "https://github.com/chiphuyen/machine-learning-systems-design/blob/master/content/design-a-machine-learning-system.md"
click node_serving "https://github.com/chiphuyen/machine-learning-systems-design/blob/master/content/design-a-machine-learning-system.md"
click node_cases "https://github.com/chiphuyen/machine-learning-systems-design/blob/master/content/case-studies.md"
click node_exercises "https://github.com/chiphuyen/machine-learning-systems-design/blob/master/content/exercises.md"
click node_answers "https://github.com/chiphuyen/machine-learning-systems-design/tree/master/answers"
click node_toc "https://github.com/chiphuyen/machine-learning-systems-design/blob/master/content/toc.html"
click node_html_layout "https://github.com/chiphuyen/machine-learning-systems-design/blob/master/layouts/html.html"
click node_pdf_layout "https://github.com/chiphuyen/machine-learning-systems-design/blob/master/layouts/pdf.html"

classDef toneNeutral fill:#f8fafc,stroke:#334155,stroke-width:1.5px,color:#0f172a
classDef toneBlue fill:#dbeafe,stroke:#2563eb,stroke-width:1.5px,color:#172554
classDef toneAmber fill:#fef3c7,stroke:#d97706,stroke-width:1.5px,color:#78350f
classDef toneMint fill:#dcfce7,stroke:#16a34a,stroke-width:1.5px,color:#14532d
classDef toneRose fill:#ffe4e6,stroke:#e11d48,stroke-width:1.5px,color:#881337
classDef toneIndigo fill:#e0e7ff,stroke:#4f46e5,stroke-width:1.5px,color:#312e81
classDef toneTeal fill:#ccfbf1,stroke:#0f766e,stroke-width:1.5px,color:#134e4a
class node_setup,node_data,node_modeling,node_serving toneBlue
class node_cases,node_exercises,node_answers toneAmber
class node_toc,node_html_layout,node_pdf_layout toneMint
class node_reader toneIndigo
```

## Components

### Design Workflow

- [Project Setup](https://github.com/chiphuyen/machine-learning-systems-design/blob/master/content/design-a-machine-learning-system.md): `content/design-a-machine-learning-system.md`
- [Data Pipeline](https://github.com/chiphuyen/machine-learning-systems-design/blob/master/content/design-a-machine-learning-system.md): `content/design-a-machine-learning-system.md`
- [Modeling](https://github.com/chiphuyen/machine-learning-systems-design/blob/master/content/design-a-machine-learning-system.md): `content/design-a-machine-learning-system.md`
- [Serving](https://github.com/chiphuyen/machine-learning-systems-design/blob/master/content/design-a-machine-learning-system.md): `content/design-a-machine-learning-system.md`

### Learning Resources

- [Case Studies](https://github.com/chiphuyen/machine-learning-systems-design/blob/master/content/case-studies.md): `content/case-studies.md`
- [Exercises](https://github.com/chiphuyen/machine-learning-systems-design/blob/master/content/exercises.md): `content/exercises.md`
- [Community Answers](https://github.com/chiphuyen/machine-learning-systems-design/tree/master/answers): `answers`

### Booklet Structure

- [Table of Contents](https://github.com/chiphuyen/machine-learning-systems-design/blob/master/content/toc.html): `content/toc.html`
- [HTML Layout](https://github.com/chiphuyen/machine-learning-systems-design/blob/master/layouts/html.html): `layouts/html.html`
- [PDF Layout](https://github.com/chiphuyen/machine-learning-systems-design/blob/master/layouts/pdf.html): `layouts/pdf.html`

### Other components

- **Reader**

## Connections

- Reader → Table of Contents: reads booklet (evidence: `README.md`)
- Project Setup → Data Pipeline: next step (evidence: `README.md`)
- Data Pipeline → Modeling: next step (evidence: `README.md`)
- Modeling → Serving: next step (evidence: `README.md`)
- Reader → Case Studies: reads examples (evidence: `README.md`)
- Reader → Exercises: reads questions (evidence: `README.md`)
- Reader → Community Answers: reads answers (evidence: `README.md`)
- Reader → HTML Layout: reads HTML edition (evidence: `README.md`)
- Reader → PDF Layout: reads PDF edition (evidence: `README.md`)