Cooking is a perfect example of terrible observability. How do you know if the food your cooking is “done” or heated to the proper temperature? How do you know if something has gone wrong during the cooking process? What approaches and solutions do chefs employ to manage this acute lack of internal measurements and testing of the food quality before, during and while serving food? How do I know it’s safe to eat this meat? Is this providing the service (or taste experience) that my end users need? In this session we’ll talk about parallel metaphors for how we can apply observability in our testing practices while leveraging concepts from the food industry and culinary professions. We’ll explore the questions that we might ask ourselves every day about the food on our table and the systems that we are testing. We might also be serving some really yummy snacks along the way.