Microservice invocation link data is a type of important data generated in the daily operation of the microservice application system， which records a series of service invocation information corresponding to a user request in the microservice application in the form of link. Microservice invocation link data are generated at different microservice deployment nodes due to the distribution characteristic of the system， and the current collection methods for these distributed data include full collection and sampling collection. Full collection may bring large data transmission and data storage costs， while sampling collection may miss critical invocation data. Therefore， an event?driven and pipeline sampling based dynamic collection method for microservice invocation link data was proposed， and a microservice invocation link system that supports dynamic collection of invocation link data was designed and implemented based on the open?source software Zipkin. Firstly， the pipeline sampling was performed on the link data of different nodes that met the predefined event features， that is the same link data of all nodes were collected by the data collection server only when the event defined data was generated by a node； meanwhile， to address the problem of inconsistent data generation rates of different nodes， multi?threaded streaming data processing technology based on time window and data synchronization technology were used to realize the data collection and transmission of different nodes. Finally， considering the problem that the link data of each node arrives at the server in different sequential order， the synchronization and summary of the full link data were realized through the timing alignment method. Experimental results on the public microservice lrevocation ink dataset prove that compared to the full collection and sampling collection methods， the proposed method has higher accuracy and more efficient collection on link data containing specific events such as anomalies and slow responces.