[D] Production-ready ML models/pipelines/infrastructure best practice resources

There has been some discussion in this sub, but what are some external blogs/resources that have good best practices on productionizing ML and DL models and building out infrastructure to build, test, and deploy ML models, particularly at a small company? A sort of How-To guide would be great!