Observability is crucial for modern software systems as they can be complex and prone to errors due to billions of lines of code and the integration of data and machine learning models, making it impossible to guarantee flawless performance. Automating observability allows for timely and actionable information about a system's performance, similar to NASA's mission control during the Apollo missions. Different components of modern software systems, including infrastructure, data, and machine learning models, require unique approaches to observability.