Tracing Evolution in Observability

This chapter explores the historical development of tracing tools in software observability and discusses ongoing challenges faced by developers who still lean towards logs and metrics. Emphasizing the importance of tracing for debugging in complex microservice environments, it raises questions about its prioritization among developers. The conversation also delves into the integration of AI and the evolving role of observability tools in enhancing customer experience and resolving data dependencies.