The text discusses the evolution and current state of observability practices in software engineering, focusing on logging, metrics, and tracing as the foundational components. As distributed architectures have increased the complexity of systems, centralized log aggregation and analytics have become essential, leading to the development of advanced profiling tools for distributed tracing and diagnostics. Despite attempts at standardization, logging remains a challenge due to its diverse and unstructured nature, although efforts like OpenTelemetry aim to address this. The text highlights the shift from logging to tracing, especially in newer programming languages, and discusses the debate over potential issues such as scope creep and trace size. It emphasizes the benefits of integrating more context into traces, which enhances debugging efficiency by providing performance, data flow, and diagnostic information within a single interface. The piece concludes with an acknowledgment of ongoing efforts to improve these systems and invites further discussion on social media.