Google Cloud Logging

To find out if this integration is available in your organization, see your Datadog Integrations page or ask your organization administrator.

To initiate an exception request to enable this integration for your organization, email support@ddog-gov.com.

Présentation

Le service Google Cloud Logging vous permet de stocker, rechercher, analyser et surveiller les données et les événements de log depuis Google Cloud Platform, ainsi que de configurer des alertes.

Datadog récupère les métriques provenant de Google Cloud Logging pour vous permettre de :

  • Visualiser les performances de vos logs Google Cloud.
  • Corréler les performances de vos logs Google Cloud avec vos applications.

Configuration

Installation

Les métriques associées aux logs Google Cloud sont incluses avec l’intégration Google Cloud Platform. Aucune autre procédure d’installation n’est requise.

Collecte de logs

Si vous ne l’avez pas déjà fait, configurez le Cloud Pub/Sub grâce à un redirecteur Push HTTP afin de transmettre vos logs GCP à Datadog.

Données collectées

Métriques

gcp.logging.billing.bytes_ingested
(count)		Number of bytes streamed into log buckets for indexing, querying, and analysis; includes up to 30 days of storage.
Shown as byte
gcp.logging.billing.monthly_bytes_ingested
(gauge)		Month-to-date number of bytes streamed into log buckets for indexing, querying, and analysis; includes up to 30 days of storage.
Shown as byte
gcp.logging.byte_count
(count)		Total bytes of log entries, either written directly or routed to this project via project-sink, that are stored in at least one log bucket.
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.
gcp.logging.exports.log_entry_count
(count)		Number of log entries that were exported.
gcp.logging.log_entry_count
(count)		Number of log entries, either written directly or routed to this project via project-sink, that are stored in at least one log bucket. By default, log entries are stored for 30 days. Excluded logs are not counted.
gcp.logging.logs_based_metrics_error_count
(count)		Number of log entries, either written directly or routed to this project via project-sink, and are stored in a log bucket but excluded from any system or user-defined logs-based metrics. This condition can occur if the timestamp of a log entry is more than 24 hours older, or 10 minutes newer, than the actual receive time.
gcp.logging.metric_throttled
(gauge)		Indicates if labels or points are being dropped for logs-based metrics due to exceeding active time series (cardinality) limits.
gcp.logging.time_series_count
(gauge)		Active time series (cardinality) estimates for logs-based metrics. Only metric labels are counted and the estimate is computed over approximately 25 hours.

Note: Datadog collects Google Cloud Logging user-defined metrics with the prefix gcp.logging.user.

Remarque : Datadog recueille des métriques Google Cloud Logging définies par l’utilisateur avec le préfixe gcp.logging.user.

Événements

L’intégration Google Cloud Logging n’inclut aucun événement.

Checks de service

L’intégration Google Cloud Logging n’inclut aucun check de service.

Dépannage

Besoin d’aide ? Contactez l’assistance Datadog.

Pour aller plus loin

Documentation, liens et articles supplémentaires utiles:

Recueillir des logs Google Cloud avec DatadogBLOG more more

Further Reading

Documentation, liens et articles supplémentaires utiles:

Recueillir des logs Google Cloud avec DatadogBLOG more more