A tutorial on logging best practices in TensorFlow?

Since logging is important for ML (and any software system in general) I think it would be a good idea to have an introductory tutorial on this topic. This could be an opportunity to also introduce tf.get_logger() to the users and its basic capabilities in more explicit ways.