Here I describe the main challenges faced by data scientists involved in deploying machine learning models into real production environments. I also include references/examples of Python libraries and multi-model systems requiring advanced features such as A/B testing and high scalability/availability. While discussing the limitations of traditional deployment strategies, I will demonstrate how serverless computing can simplify your deployment workflow.