In modern cloud-native environments, relying solely on the traditional three pillars of observability—metrics, logs, and traces—is insufficient for gaining a comprehensive understanding of system performance and reliability. Continuous profiling emerges as a critical fourth component, offering granular insights into the allocation of compute resources and uncovering unknown-unknowns that metrics, logs, and traces may miss. By providing detailed visibility akin to an X-ray, profiling enables the identification of obscure issues, such as inefficiencies in data structures and memory allocation, and helps optimize cloud costs and reduce carbon footprints. A unified observability platform that integrates all four signals is essential to answer complex "why" questions and improve mean-time-to-detect and repair issues. Elastic Observability addresses the challenge of tool proliferation by combining metrics, logs, traces, and Universal Profiling in a single pane, enhancing system visibility and performance while reducing overhead and environmental impact.