Google Cloud’s whitepaper overview of the MLOps life cycle, MLOps processes, and capabilities and why they’re important for successful adoption of ML-based systems. It also deep dives into concrete details of running a continuous training pipeline, deploying a model, and monitoring the predictive performance of ML models.
Have you read/downloaded it?