Built a small production-style MLOps platform while learning FastAPI, Docker, and CI/CD – looking for feedback
Published:Dec 28, 2025 12:14
•1 min read
•r/mlops
Analysis
This Reddit post describes a personal project focused on building a small-scale MLOps platform. The author outlines the key components, including a training pipeline, FastAPI inference service, Dockerized API, and CI/CD pipeline using GitHub Actions. The project's primary goal was learning and understanding the challenges of deploying models to production. The author specifically requests feedback on project structure, missing elements for a real-world MLOps setup, and potential next steps for productionizing the platform. This is a valuable learning exercise and a good starting point for individuals looking to gain practical experience in MLOps. The request for feedback is a positive step towards improving the project and learning from the community.
Key Takeaways
- •Practical MLOps project using modern tools.
- •Focus on deployment challenges and solutions.
- •Seeking community feedback for improvement.
Reference
“I’ve been learning MLOps and wanted to move beyond notebooks, so I built a small production-style setup from scratch.”