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Hello! Welcome to another episode of the Google Ads Developer miniseries on Logging and Monitoring. In this episode, were going to log some custom data to Google Cloud Logging. Specifically, well walk through a Python example which uses a custom gRPC interceptor to extract request and response data into custom logs, as well as some metadata like success status and elapsed time, and then well send those logs to the cloud using the Google Cloud Logging API. Once in the cloud, the logs can be monitored and analyzed to give a clearer picture of application health. To learn about some of the other options for logging to the cloud, take a look at our Logging guide or the video we did on Logging and Monitoring in the Cloud. And if you find this video useful, make sure to give it a thumbs up and subscribe to our channel to be notified of future videos. Before we look at an example of a custom gRPC interceptor, lets make sure we understand what a gRPC interceptor is. To start, gRPC is the
