Tutorials Overview

Learn how to deploy a full MLOps infrastructure using deployml.

GCP Cloud Run

The primary supported deployment target is GCP using Cloud Run — a serverless architecture that scales automatically and is cost-effective for academic use.

Get Started with GCP Cloud Run →

End-to-End Example

Once deployed, walk through a complete MLOps workflow using a synthetic housing price dataset — training, registration, serving, drift monitoring, and Grafana dashboards.

End-to-End Example →

Quick Reference

# 1. Check dependencies
deployml doctor

# 2. Enable GCP APIs
deployml init --provider gcp --project-id YOUR_PROJECT_ID

# 3. Build Docker images
deployml build-images --create-repo

# 4. Deploy the stack
deployml deploy --verbose

# 5. Get service URLs and write .env
deployml get-urls

# 6. Tear down when done
deployml destroy