Google Cloud Run

Documentos > Integraciones > Google Cloud Run

Información general

Cloud Run es una plataforma de computación administrada que permite ejecutar contenedores sin estado invocables mediante solicitudes HTTP.

Habilita esta integración e instrumenta tu contenedor para ver todas tus métricas, trazas (traces) y logs de Cloud Run en Datadog.

Para más información sobre Cloud Run para Anthos, consulta la documentación de Google Cloud Run para Anthos.

Configuración

Recopilación de métricas

Instalación

Configura la integración de Google Cloud Platform para empezar a recopilar métricas de forma predefinida. Para configurar métricas personalizadas consulta la documentación serverless .

APM

integración

Google Cloud Run también expone logs de auditoría. Los logs de Google Cloud Run se recopilan con Google Cloud Logging y se envían a un trabajo de Dataflow a través de un tema Cloud Pub/Sub. Si todavía no lo has hecho, configura el registro con la plantilla Datadog Dataflow.

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

Ve a la página de Google Cloud Logging y filtra los logs de Google Cloud Run.
Haz clic en Crear receptor y asigna el nombre correspondiente al receptor.
Elige “Cloud Pub/Sub” como destino y selecciona el tema Pub/Sub creado para tal fin. Nota: El tema Pub/Sub puede estar ubicado en un proyecto diferente.
Haz clic en Crear y espera a que aparezca el mensaje de confirmación.

Registro directo

Para más información sobre el registro directo de aplicaciones en Datadog desde tus servicios de Cloud Run, consulta la documentación serverless .

Rastreo

Para obtener más información sobre las instrucciones de configuración especializadas del Agent para Google Cloud Run totalmente administrado, consulta la documentación serverless.

Datos recopilados

Métricas

gcp.run.container.billable_instance_time (rate)	Billable time aggregated from all container instances of the revision (ms/s). Shown as millisecond
gcp.run.container.cpu.allocation_time (rate)	Container CPU allocation of the revision in seconds. Shown as core
gcp.run.container.cpu.utilizations.avg (gauge)	The average distribution of container CPU utilization distribution across all container instances of the revision. Shown as fraction
gcp.run.container.cpu.utilizations.p95 (gauge)	The 95th percentile distribution of container CPU utilization distribution across all container instances of the revision. Shown as fraction
gcp.run.container.cpu.utilizations.p99 (gauge)	The 99th percentile distribution of container CPU utilization distribution across all container instances of the revision. Shown as fraction
gcp.run.container.cpu.utilizations.samplecount (count)	Sample count of the distribution of service request times in milliseconds. Shown as fraction
gcp.run.container.instance_count (gauge)	The number of container instances that exist, broken down by state. Shown as container
gcp.run.container.max_request_concurrencies.avg (gauge)	Average of the maximum number of concurrent requests being served by each container instance over a minute. Shown as request
gcp.run.container.max_request_concurrencies.p95 (gauge)	95th percentile distribution of the maximum number of concurrent requests being served by each container instance over a minute. Shown as request
gcp.run.container.max_request_concurrencies.p99 (gauge)	99th percentile distribution of the maximum number of concurrent requests being served by each container instance over a minute. Shown as request
gcp.run.container.max_request_concurrencies.samplecount (count)	Sample count of the distribution of the maximum number of concurrent requests being served by each container instance over a minute. Shown as request
gcp.run.container.memory.allocation_time (rate)	Container memory allocation of the revision in Gigabytes-seconds. Shown as gibibyte
gcp.run.container.memory.utilizations.avg (gauge)	Average of the container memory utilization distribution across all container instances of the revision. Shown as fraction
gcp.run.container.memory.utilizations.p95 (gauge)	95th percentile distribution of the container memory utilization distribution across all container instances of the revision. Shown as fraction
gcp.run.container.memory.utilizations.p99 (gauge)	99th percentile distribution of the container memory utilization distribution across all container instances of the revision. Shown as fraction
gcp.run.container.memory.utilizations.samplecount (count)	Sample count of the container memory utilization distribution across all container instances of the revision. Shown as fraction
gcp.run.container.network.received_bytes_count (count)	The incoming socket and HTTP response traffic of revision, in bytes. Shown as byte
gcp.run.container.network.sent_bytes_count (count)	The outgoing socket and HTTP response traffic of revision, in bytes. Shown as byte
gcp.run.request_count (count)	The number of service requests. Shown as request
gcp.run.request_latencies.avg (gauge)	Average distribution of service request times in milliseconds. Shown as millisecond
gcp.run.request_latencies.p95 (gauge)	The 95th percentile distribution of service request times in milliseconds. Shown as millisecond
gcp.run.request_latencies.p99 (gauge)	The 99th percentile distribution of service request times in milliseconds. Shown as millisecond
gcp.run.request_latencies.samplecount (count)	Sample count of the distribution of service request times in milliseconds. Shown as millisecond
gcp.run.request_latencies.sumsqdev (gauge)	Sum of squared deviation of the distribution of service request times in milliseconds. Shown as millisecond