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in our last two episodes weamp;#39;ll learn how to manage gke infrastructure and the individual services running on it but as our applications become more complex more services are involved in serving user traffic and completing transactions it then becomes more and more critical to understand how requests traverse multiple services and how each service contributes to overall latency this is what distributed tracing does it captures the latency of user requests and how long it takes each service in the path to return a response today iamp;#39;m going to show you how to capture latency in distributed applications using open telemetry and analyze it using cloudtrace welcome to engineering for reliability with google cloud letamp;#39;s start by reviewing the basics of distributed tracing these were originally described in googleamp;#39;s research paper on the dapper distributed tracing framework weamp;#39;ll link to it below if youamp;#39;d like to read it when the user requ
