Google Cloud Logging

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Overview

The Google Cloud Logging product allows you to store, search, analyze, monitor, and alert on log data and events from Google Cloud Platform.

Datadog pulls metrics from Google Cloud Logging to:

Metrics from Google Cloud logs are included as part of the Google Cloud Platform integration. There are no additional installation steps required.

If you haven’t already, set up the Cloud Pub/sub with a HTTP push forwarder to forward your GCP logs to Datadog.

gcp.logging.billing.bytes_ingested (count)	Log bytes ingested. Shown as byte
gcp.logging.billing.monthly_bytes_ingested (gauge)	Month-to-date log bytes ingested. Shown as byte
gcp.logging.byte_count (count)	Number of bytes in all log entries ingested. Shown as byte
gcp.logging.dropped_log_entry_count (count)	(Deprecated) Number of log entries that did not contribute to user defined metrics. Shown as entry
gcp.logging.excluded_byte_count (count)	Number of bytes in log entries that were excluded. Shown as byte
gcp.logging.excluded_log_entry_count (count)	Number of log entries that were excluded. Shown as entry
gcp.logging.exports.byte_count (count)	Number of bytes in log entries that were exported. Shown as byte
gcp.logging.exports.error_count (count)	Number of log entries that failed to be exported. Shown as entry
gcp.logging.exports.log_entry_count (count)	Number of log entries that were exported. Shown as entry
gcp.logging.log_entry_count (count)	Number of log entries that contributed to user-defined metrics. Shown as entry
gcp.logging.logs_based_metrics_error_count (count)	Number of log entries that did not contribute to user defined metrics. Shown as entry
gcp.logging.metric_throttled (gauge)	Indicates if points are being dropped for logs-based metrics due to exceeding time series limits.
gcp.logging.time_series_count (gauge)	Estimate of the active time series count for logs-based metrics.