You are employed at a bank and have a custom tabular ML model provided by the bank's vendor. Unfortunately, the training data for this model is sensitive and unavailable. The model is packaged as a Vertex AI Model serving container, and it accepts a string as input for each prediction instance. Within these strings, feature values are separated by commas. Your objective is to deploy this model into production for online predictions while also monitoring the feature distribution over time with minimal effort. What steps should you take to achieve this?