Let's see what practices we need to measure a performance baseline and how best we can implement them. These measurements must be taken during on-peak and off-peak hours on the data platform from a typical resource-intensive operation. All the subsequent measurements are compared with relevant baselines, and to determine the course of action we need to establish performance thresholds. These thresholds will help the DBAs to trigger fine tuning methods before a performance downtrend approaches. In this recipe, we will implement the performance baseline practices on the data platform that will help us to keep up the scalability and availability.