MLOps architecture

Building an effective MLOps architecture requires more than simply deploying a trained model https://apprecode.com/blog/mlops-architecture-mlops-diagrams-and-best-practices. Teams also need reproducibility, model versioning, data validation, infrastructure automation, and monitoring to keep machine learning systems reliable in production.