In this webinar you will learn how to design a performance first monitoring workflow for machine learning systems. Your workflow should obsess over performance. Model performance and business impact are at the core of this monitoring flow. At the end of the day, performance is what matters the most. This allows us to babysit the ML model's performance at all times. And alert the data science team only when performance degradation is found. This monitoring flow gets rid of the overload of false alarms, enabling us to focus on the ones that matter.