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Stakeholders for Logs

There are different stakeholders for logging. However, the analysis options of the log servers are so flexible and the analyses so similar that one tool is normally sufficient. The stakeholders can create their own dashboards with the information that is relevant to them. For specific requirements the log data can be passed on to other systems for evaluation.

Correlation IDs

Often multiple microservices work together on a request. The path the request takes through the microservices has to be traceable for analysis. For filtering all log entries to a certain customer or to a certain request, a correlation ID can be used. This ID unambiguously identifies a request to the overall system and is passed along during all communication between microservices. In this manner log entries for all systems to a single request are easy to find in the central log system, and the processing of the requests can be tracked across all microservices.

Such an approach can, for instance, be implemented by transferring a request ID for each message within the headers or within the payloads. Many projects implement the transfer in their own code without using a framework. For Java there is the library tracee,11 which implements the transfer of the IDs. Some log frameworks support a context that is logged together with each log message. In that case it is only necessary to put the correlation ID into the context when receiving a message. This obliterates the need to pass the correlation ID on from method to method. When the correlation ID is bound to the thread, problems can arise when the processing of a request involves several threads. Setting the correlation ID in the context ensures that all log messages contain the correlation ID. How the correlation ID is logged has to be uniform across all microservices so that the search for a request in the logs works for all microservices.

 
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