Table of Contents

Pytest Tutorial: MLOps Testing, Fixtures, and Locust Load Testing

Introduction to MLOps Testing: Building Reliable ML Systems with Pytest

Why Testing Is Non-Negotiable in MLOps

What You Will Learn: Pytest, Fixtures, and Load Testing for MLOps

From FastAPI to Testing: Extending Your MLOps Pipeline with Validation

Test-Driven MLOps: Applying Software Testing Best Practices to ML Pipelines

What to Test in MLOps Pipelines: Models, APIs, and Configurations

Unit vs Integration vs Performance Testing

The Software Testing Pyramid for MLOps: Unit, Integration, and Load Testing

Project Structure and Test Layout

Test Directory Structure for MLOps: unit, integration, and performance

Understanding Pytest Fixtures: Using conftest.py for Reusable Test Setup

Where to Place Tests in MLOps Projects: Unit vs Integration vs Performance

Unit Testing in MLOps with Pytest

The Code Under Test: Inference Service and Dummy Model

services/inference_service.py

models/dummy_model.py

Writing Pytest…