--- title: Google Cloud Run for Anthos description: >- A managed Knative offering enabling serverless workloads on hybrid and multicloud environments. breadcrumbs: Docs > Integrations > Google Cloud Run for Anthos --- # Google Cloud Run for Anthos ## Overview{% #overview %} Google Cloud Run for Anthos is a flexible serverless development platform for hybrid and multicloud environments. Cloud Run for Anthos is Google's managed and fully supported [Knative](https://knative.dev/) offering. If you are using fully managed Google Cloud, see the [Google Cloud Run documentation](https://docs.datadoghq.com/integrations/google-cloud-run.md). Use the Datadog Google Cloud Platform integration to collect metrics from Google Cloud Run for Anthos. ## Setup{% #setup %} ### Metric collection{% #metric-collection %} #### Installation{% #installation %} If you haven't already, set up the [Google Cloud Platform integration](https://docs.datadoghq.com/integrations/google-cloud-platform.md). If you are already authenticating your Cloud Run for Anthos services using Workload Identity, then no further steps are needed. If you have not enabled Workload Identity, you must migrate to use Workload Identity to start collecting Knative metrics. This involves binding a Kubernetes service account to a Google service account and configuring each service that you want to collect metrics from to use Workload Identity. For detailed setup instructions, see [Google Cloud Workload Identity](https://cloud.google.com/kubernetes-engine/docs/how-to/workload-identity). ### Log collection{% #log-collection %} Google Cloud Run for Anthos exposes [service logs](https://cloud.google.com/anthos/run/docs/logging). Google Cloud Run logs can be collected with Google Cloud Logging and sent to a Dataflow job through a Cloud Pub/Sub topic. If you haven't already, [set up logging with the Datadog Dataflow template](https://docs.datadoghq.com/integrations/google-cloud-platform.md#log-collection). Once this is done, export your Google Cloud Run logs from Google Cloud Logging to the Pub/Sub topic: 1. Go to [Cloud Run for Anthos](https://console.cloud.google.com/anthos/run), click on your desired services and navigate to the **Logs** tab. 1. Click on **View in Logs Explorer** to go to the **Google Cloud Logging Page**. 1. Click **Create Sink** and name the sink accordingly. 1. Choose "Cloud Pub/Sub" as the destination and select the Pub/Sub topic that was created for that purpose. **Note**: The Pub/Sub topic can be located in a different project. 1. Click **Create** and wait for the confirmation message to show up. ### Tracing and Custom Metrics{% #tracing-and-custom-metrics %} Use the [Datadog Admission Controller](https://docs.datadoghq.com/containers/cluster_agent/admission_controller.md) to configure APM tracers and DogStatsD clients automatically. Inject the `DD_AGENT_HOST` and `DD_ENTITY_ID` environment variables by using one of the following methods: - Add the `admission.datadoghq.com/enabled: "true"` label to your pod. - Configure the Cluster Agent admission controller by setting `mutateUnlabelled: true`. To prevent pods from receiving environment variables, add the `admission.datadoghq.com/enabled: "false"` label. This works even if you set `mutateUnlabelled: true`. For more information, see the [Datadog Admission Controller](https://docs.datadoghq.com/containers/cluster_agent/admission_controller.md) documentation. ## Data Collected{% #data-collected %} ### Metrics{% #metrics %} | | | | | **gcp.knative.eventing.broker.event\_count**(count) | Number of events received by a broker. | | **gcp.knative.eventing.trigger.event\_count**(count) | Number of events received by a trigger. | | **gcp.knative.eventing.trigger.event\_dispatch\_latencies.avg**(gauge) | Average of time spent dispatching an event to a trigger subscriber.*Shown as millisecond* | | **gcp.knative.eventing.trigger.event\_dispatch\_latencies.p99**(gauge) | 99th percentile of time spent dispatching an event to a trigger subscriber.*Shown as millisecond* | | **gcp.knative.eventing.trigger.event\_dispatch\_latencies.p95**(gauge) | 95th percentile of time spent dispatching an event to a trigger subscriber.*Shown as millisecond* | | **gcp.knative.eventing.trigger.event\_processing\_latencies.avg**(gauge) | Average of time spent processing an event before it is dispatched to a trigger subscriber.*Shown as millisecond* | | **gcp.knative.eventing.trigger.event\_processing\_latencies.p99**(gauge) | 99th percentile of time spent processing an event before it is dispatched to a trigger subscriber.*Shown as millisecond* | | **gcp.knative.eventing.trigger.event\_processing\_latencies.p95**(gauge) | 95th percentile of time spent processing an event before it is dispatched to a trigger subscriber.*Shown as millisecond* | | **gcp.knative.serving.activator.request\_count**(count) | The number of requests that are routed to the activator.*Shown as request* | | **gcp.knative.serving.activator.request\_latencies.avg**(gauge) | Average of service request times in milliseconds for requests that go through the activator.*Shown as millisecond* | | **gcp.knative.serving.activator.request\_latencies.p99**(gauge) | 99th percentile of service request times in milliseconds for requests that go through the activator.*Shown as millisecond* | | **gcp.knative.serving.activator.request\_latencies.p95**(gauge) | 95th percentile of service request times in milliseconds for requests that go through the activator.*Shown as millisecond* | | **gcp.knative.serving.autoscaler.actual\_pods**(gauge) | Number of pods that are allocated currently. | | **gcp.knative.serving.autoscaler.desired\_pods**(gauge) | Number of pods autoscaler wants to allocate. | | **gcp.knative.serving.autoscaler.panic\_mode**(gauge) | Set to 1 if autoscaler is in panic mode for the revision, otherwise 0. | | **gcp.knative.serving.autoscaler.panic\_request\_concurrency**(gauge) | Average requests concurrency observed per pod during the shorter panic autoscaling window.*Shown as request* | | **gcp.knative.serving.autoscaler.requested\_pods**(gauge) | Number of pods autoscaler requested from Kubernetes. | | **gcp.knative.serving.autoscaler.stable\_request\_concurrency**(gauge) | Average requests concurrency observed per pod during the stable autoscaling window.*Shown as request* | | **gcp.knative.serving.autoscaler.target\_concurrency\_per\_pod**(gauge) | The desired average requests concurrency per pod during the stable autoscaling window.*Shown as request* | | **gcp.knative.serving.revision.request\_count**(count) | The number of requests reaching the revision.*Shown as request* | | **gcp.knative.serving.revision.request\_latencies.avg**(gauge) | Average of service request times in milliseconds for requests reaching the revision.*Shown as millisecond* | | **gcp.knative.serving.revision.request\_latencies.p99**(gauge) | 99th percentile of service request times in milliseconds for requests reaching the revision.*Shown as millisecond* | | **gcp.knative.serving.revision.request\_latencies.p95**(gauge) | 95th percentile of service request times in milliseconds for requests reaching the revision.*Shown as millisecond* | ### Events{% #events %} The Google Cloud Run for Anthos integration does not include any events. ### Service Checks{% #service-checks %} The Google Cloud Run for Anthos integration does not include any service checks. ## Troubleshooting{% #troubleshooting %} Need help? Contact [Datadog support](https://docs.datadoghq.com/help/). ## Further Reading{% #further-reading %} - [Google Cloud Run](https://docs.datadoghq.com/integrations/google_cloud_run.md)