Google Bigtable

Información general

Bigtable es el servicio de base de datos de grandes datos NoSQL de Google. Es la misma base de datos que alimenta muchos de los principales servicios de Google como Buscadores, Analytics, Maps y Gmail.

Utiliza la integración de Google Cloud Platform con Datadog para recopilar métricas de Google Bigtable.

Configuración

Instalación

Si aún no lo has hecho, primero configura la integración Google Cloud Platform. No es necesario realizar ningún otro paso de instalación.

APM

Los logs de Google Bigtable se recopilan con Google Cloud Logging y se envían a una tarea de Dataflow a través de un tema Cloud Pub/Sub. Si aún no lo has hecho, configura la generación de logs con la plantilla Dataflow de Datadog.

Una vez hecho esto, exporta tus logs de Google Bigtable desde Google Cloud Logging al tema Pub/Sub:

  1. Ve a la página de Google Cloud Logging y filtra logs de Google Bigtable.
  2. Haz clic en Create Export (Crear exportación) y asigna un nombre al sumidero.
  3. Elige “Cloud Pub/Sub” como destino y selecciona el tema Pub/Sub creado para tal fin. Nota: El tema Pub/Sub puede encontrarse en un proyecto diferente.
  4. Haz clic en Create (Crear) y espera a que aparezca el mensaje de confirmación.

Datos recopilados

Métricas

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

Eventos

La integración Google Bigtable no incluye eventos.

Checks de servicio

La integración Google Bigtable no incluye checks de servicio.

Resolución de problemas

¿Necesitas ayuda? Ponte en contacto con el servicio de asistencia de Datadog.

PREVIEWING: esther/docs-9518-update-example-control-sensitive-log-data