The text discusses the concept of SQL-based Observability, which is a real-time analytics-oriented task that can be achieved using SQL principles. The author highlights how SQL's longevity and popularity are an exception in the field of technology, with many other programming languages being created in the 1990s or later. The democratization of self-driving cars, deep learning, and computer vision have led to breakthroughs in AI and engineering. The text also explores the parallel backgrounds of two established paradigms: SQL and Observability. SQL has been used for over 8 centuries by Mediterranean traders, while Observability is a relatively new field that emerged from the convergence of various technologies. The author argues that treating observability as another data use case leads to its commoditization, accelerating its global adoption. The resulting SQL-based observability stack is simple and unopinionated, leaving many options for users to personalize and adapt within an existing IT environment.