Hi everyone, We prepared an example of building an end-to-end batch ML deployment and monitoring workflow using Evidently and Prefect. Open-source and easy to replicate! Here is how it works: • Evidently performs data quality, data drift and ML model quality checks. • Prefect orchestrates the checks and writes metrics to the PostgreSQL. • Metrics are shown on a Grafana dashboard. Comes with all the code and text tutorial: • Tutorial: https://www.evidentlyai.com/blog/batch-ml-monitoring-architecture • Code: https://github.com/evidentlyai/evidently/tree/main/examples/integrations/postgres_grafana_batch_monitoring