Google Bigtable

Présentation

Cloud Bigtable est le service de base de données NoSQL big data de Google. Cette base de données est utilisée par beaucoup de services Google, tels que le moteur de recherche, Analytics, Maps et Gmail.

Utilisez l’intégration Datadog/Google Cloud Platform pour recueillir des métriques de Google Bigtable.

Configuration

Installation

Si vous ne l’avez pas déjà fait, configurez d’abord l’intégration Google Cloud Platform. Aucune autre procédure d’installation n’est requise.

Collecte de logs

Les logs Google Bigtable sont recueillis avec Google Cloud Logging et envoyés à un Cloud Pub/Sub via un forwarder Push HTTP. Si vous ne l’avez pas déjà fait, configurez un Cloud Pub/Sub à l’aide d’un forwarder Push HTTP.

Une fois cette opération effectuée, exportez vos logs Google Bigtable depuis Google Cloud Logging vers le Pub/Sub :

  1. Accédez à la page Google Cloud Logging et filtrez les logs Google Bigtable.
  2. Cliquez sur Create Export et nommez le récepteur.
  3. Choisissez Cloud Pub/Sub comme destination et sélectionnez le Pub/Sub créé à cette fin. Remarque : le Pub/Sub peut se situer dans un autre projet.
  4. Cliquez sur Create et attendez que le message de confirmation s’affiche.

Données collectées

Métriques

gcp.bigtable.backup.bytes_used
(gauge)		Backup storage used.
Shown as byte
gcp.bigtable.autoscaling.max_node_count
(gauge)		Maximum number of nodes in an autoscaled cluster.
Shown as node
gcp.bigtable.autoscaling.min_node_count
(gauge)		Minimum number of nodes in an autoscaled cluster.
Shown as node
gcp.bigtable.autoscaling.recommended_node_count_for_cpu
(gauge)		Recommended number of nodes in an autoscaled cluster based on CPU usage.
Shown as node
gcp.bigtable.autoscaling.recommended_node_count_for_storage
(gauge)		Recommended number of nodes in an autoscaled cluster based on storage usage.
Shown as node
gcp.bigtable.cluster.cpu_load
(gauge)		CPU load of a cluster.
gcp.bigtable.cluster.cpu_load_by_app_profile_by_method_by_table
(gauge)		CPU load of a cluster split by app profile, method, and table.
gcp.bigtable.cluster.cpu_load_hottest_node
(gauge)		CPU load of the busiest node in a cluster.
gcp.bigtable.cluster.disk_load
(gauge)		Utilization of HDD disks in a cluster.
gcp.bigtable.cluster.node_count
(gauge)		Number of nodes in a cluster.
Shown as node
gcp.bigtable.cluster.storage_utilization
(gauge)		Storage used as a fraction of total storage capacity.
gcp.bigtable.disk.bytes_used
(gauge)		Amount of compressed data for tables stored in a cluster.
Shown as byte
gcp.bigtable.disk.storage_capacity
(gauge)		Capacity of compressed data for tables that can be stored in a cluster.
Shown as byte
gcp.bigtable.replication.latencies.avg
(gauge)		Distribution of replication request latencies for a table.
Shown as millisecond
gcp.bigtable.replication.latencies.samplecount
(gauge)		Sample count for replication request latencies.
Shown as sample
gcp.bigtable.replication.latencies.sumsqdev
(gauge)		Sum of squared deviation for replication request latencies.
Shown as second
gcp.bigtable.replication.latency.avg
(gauge)		Distribution of replication request latencies for a table.
Shown as millisecond
gcp.bigtable.replication.latency.samplecount
(gauge)		Sample count for replication request latencies.
Shown as sample
gcp.bigtable.replication.latency.sumsqdev
(gauge)		Sum of squared deviation for replication request latencies.
Shown as second
gcp.bigtable.replication.max_delay
(gauge)		Upper bound for replication delay between clusters of a table.
Shown as second
gcp.bigtable.server.error_count
(count)		Number of server requests for a table that failed with an error.
Shown as error
gcp.bigtable.server.latencies.avg
(gauge)		Distribution of replication request latencies for a table.
Shown as millisecond
gcp.bigtable.server.latencies.samplecount
(gauge)		Sample count for replication request latencies.
Shown as sample
gcp.bigtable.server.latencies.sumsqdev
(gauge)		Sum of squared deviation for replication request latencies.
Shown as second
gcp.bigtable.server.modified_rows_count
(count)		Number of rows modified by server requests for a table.
Shown as row
gcp.bigtable.server.multi_cluster_failovers_count
(count)		Number of failovers during multi-cluster requests.
gcp.bigtable.server.received_bytes_count
(count)		Number of uncompressed bytes of request data received by servers for a table.
Shown as byte
gcp.bigtable.server.request_count
(count)		Number of server requests for a table.
Shown as request
gcp.bigtable.server.returned_rows_count
(count)		Number of rows returned by server requests for a table.
Shown as row
gcp.bigtable.server.sent_bytes_count
(count)		Number of uncompressed bytes of response data sent by servers for a table.
Shown as byte
gcp.bigtable.table.bytes_used
(gauge)		Amount of compressed data stored in a table.
Shown as byte

Événements

L’intégration Google Bigtable n’inclut aucun événement.

Checks de service

L’intégration Google Bigtable n’inclut aucun check de service.

Dépannage

Besoin d’aide ? Contactez l’assistance Datadog.