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 |
Eventos
La integración de las funciones de Google Cloud no incluye ningún evento.
Checks de servicios
La integración de las funciones de Google Cloud no incluye ningún check de servicios.
Resolución de problemas
¿Necesitas ayuda? Ponte en contacto con el servicio de asistencia de Datadog.
Leer más
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