google.logging.v2.MetricsServiceV2.CreateLogMetric
API. This can lead to the creation of malicious or incorrect log metrics, impacting the security of the logging system.
google.logging.v2.MetricsServiceV2.CreateLogMetric
API is misused, it can result in the creation of log metrics that capture sensitive or confidential information. This can lead to data leakage if the logs containing such information are not properly secured or restricted.
google.logging.v2.MetricsServiceV2.CreateLogMetric
API. This can result in resource exhaustion and impact the availability and performance of the logging service, potentially leading to a denial of service situation.
gcloud logging project-logs enable [PROJECT_ID]
to enable GCP Logging for a specific project.[PROJECT_ID]
with the ID of the project you want to enable logging for.gcloud logging sinks create [SINK_NAME] storage.googleapis.com/[BUCKET_NAME] --log-filter="[LOG_FILTER]"
to create a logging sink.[SINK_NAME]
with the desired name for the sink.[BUCKET_NAME]
with the name of the Cloud Storage bucket where you want to export the logs.[LOG_FILTER]
with the filter expression to specify the logs you want to export.gcloud logging sinks create [SINK_NAME] pubsub.googleapis.com/projects/[PROJECT_ID]/topics/[TOPIC_NAME] --log-filter="[LOG_FILTER]"
to create a logging sink.[SINK_NAME]
with the desired name for the sink.[PROJECT_ID]
with the ID of the project.[TOPIC_NAME]
with the name of the Cloud Pub/Sub topic where you want to send the logs.[LOG_FILTER]
with the filter expression to specify the logs you want to send.google-cloud-logging
library to enable the GCP Logging API.pip install google-cloud-logging
.google-cloud-logging
library to create a log sink.pip install google-cloud-logging
.google-cloud-logging
library to export logs to BigQuery.pip install google-cloud-logging
.your-project-id
, your-sink-name
, your-destination-bucket
, your-dataset-id
, your-table-id
) with the actual values specific to your GCP environment.