The previous section addressed the microservices distributed and fragmented the logging issue by centralizing the log data. With the central logging solution, we have all the logs in central storage. However, still, it is almost impossible to trace end-to-end transactions. In order to do end-to-end tracking, transactions spanning across microservices need to have a correlation ID.
Twitter's Zipkin, Cloudera's HTrace, and Google's Dapper are examples of distributed tracing systems. The Spring Cloud provides a wrapper component on top of these using the Spring Cloud Sleuth library.
Distributed tracing works with the concepts of Span and Trace. Span is a unit of work, such as calling a service, identified ...
