Datadog Google Cloud Run Monitoring

Monitor and Instrument All Your Serverless Applications in a Unified Platform

Track cold starts, latency, error rates, and more for all of your Cloud Run services in near real time
Use the Datadog Cloud Run sidecar for easy instrumentation and lower deployment and maintenance overhead, allowing your teams to focus on app development
Seamlessly switch between the performance of your serverless resources across Google Cloud, AWS, and Azure
Monitor the performance of all of your serverless resources, including APIs, queues, databases, and more

Troubleshoot Cloud Run errors with service-specific metrics like CPU utilization, memory usage, and billable instance times
Filter workloads by tags such as service, environment, and version to inspect specific subsets of your environment
Isolate individual errorful requests with end-to-end traces that give you full visibility into distributed applications
Reduce MTTD and MTTR with correlated logs, metrics, and end-to-end traces in one place for full context

Use Datadog-enhanced metrics to track the prevalence of cold starts and shutdowns in your Cloud Run services
Import custom metrics like cart value to evaluate the business impact of your Cloud Run performance
Visualize custom and enhanced metrics in dashboards, set alerts on them, and use them to set and track SLO targets

Collect and analyze metrics from 35+ major Google Cloud services such as GKE, BigQuery, Cloud Run, Cloud SQL, Vertex AI, and more
Start monitoring in minutes with auto-discovery for all Datadog-supported Google Cloud services
Visualize the performance of all of your servers, databases, VMs, containers, and apps in real time with customizable, drag-and-drop dashboards