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SPEAKER: In our last two episodes, we learned how to manage GK 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 response. Today, Im going to show you how to capture latency in distributed applications using OpenTelemetry and analyze it using Cloud Trace. Welcome to Engineering for Reliability with Google Cloud. Lets start by reviewing the basics of distributed tracing. These were originally described in Googles research paper on the Dapper distributed tracing framework. Well link to it below if youd like to read it. When a user request comes in, we want to create a tra