Google Cloud

Logging Commands

Read, filter, and export logs with Cloud Logging. Create log sinks for exporting to BigQuery, Cloud Storage, or Pub/Sub. Set up log-based metrics for monitoring.

8 commands

Pro Tips

Use log sinks to export important logs to BigQuery for long-term analysis.

Create log-based metrics to trigger alerts on error patterns.

Use 'gcloud alpha logging tail' for real-time log streaming during debugging.

Common Mistakes

Logs are retained for 30 days by default. Configure retention or export for compliance.

High-volume logging can incur significant costs. Use exclusion filters to reduce ingestion.

Commands

Create Log Sink

$ gcloud logging sinks create <name> storage.googleapis.com/<bucket> --log-filter="severity>=ERROR"

Create a log sink to export logs to Cloud Storage, BigQuery, or Pub/Sub

List Available Logs

$ gcloud logging logs list

List all log names in the project

List Log Sinks

$ gcloud logging sinks list

List all log sinks (exports) in the project

Create Log Metric

$ gcloud logging metrics create <name> --description="<desc>" --log-filter="severity>=ERROR"

Create a log-based metric for monitoring and alerting

Read Logs

$ gcloud logging read "resource.type=gce_instance" --limit=50 --format=json

Read log entries with a filter expression

Read Recent Logs

$ gcloud logging read "timestamp>=\"2024-01-01T00:00:00Z\"" --limit=20

Read log entries from a specific time period

Tail Logs Live

$ gcloud alpha logging tail "resource.type=cloud_run_revision"

Stream live log entries in real-time (like tail -f)

Write Log Entry

$ gcloud logging write <log-name> "Log message" --severity=INFO

Write a custom log entry to Cloud Logging