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In this episode of the Google Ads Developer miniseries on Logging and Monitoring, the focus is on logging custom data to Google Cloud Logging. The tutorial demonstrates a Python example using a custom gRPC interceptor to extract request and response data for custom logs, along with metadata like success status and elapsed time. These logs are then sent to the cloud using the Google Cloud Logging API for monitoring and analysis to improve application health. A clear understanding of what a gRPC interceptor is essential before exploring the example. Additional logging options are available in the Logging guide and Cloud Logging tutorial on the channel. Remember to like the video and subscribe for future updates.
