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Higher observability for serverless environments
Many Cloud Run clients use the out-of-the-box Cloud Run metrics in Cloud Monitoring. Nevertheless, whereas these metrics give good details about the efficiency of a service, they don’t expose any data that comes from inside the applying itself and can’t be personalized by finish customers. With help for Managed Service for Prometheus in Cloud Run, now you can monitor and alert on enterprise metrics, runtime metrics, or anything that may be uncovered as a time collection from inside a Cloud Run deployment.
Supporting Prometheus metrics on Cloud Run additionally makes it simpler so that you can migrate from Kubernetes to Cloud Run. Prometheus has emerged because the de-facto commonplace for monitoring Kubernetes and is being utilized by 86% of the Cloud Native group. With this launch, customers can deploy the identical functions to both Cloud Run or GKE primarily based on their preferences with out having to rewrite their metrics, quit the wealth of assets created by the open-source group, or change any of their monitoring, querying, or alerting practices. You should use the identical actual metrics packages, charts and dashboards, and real-time alerts that you have already got in place, whatever the runtime environments you select to make use of.
This launch helps Prometheus conventions and “pull” (scraped by a server) metrics. For patrons preferring OpenTelemetry conventions or “push” (immediately exported to a server) metrics, Cloud Run additionally helps writing OTLP metrics utilizing an OpenTelemetry sidecar.
Getting began
This characteristic is obtainable and able to use in all Cloud Run deployments. For extra data and directions, please evaluate the “Use the Prometheus sidecar for Cloud Run” part of the Managed Service for Prometheus documentation.
In case you’d wish to study extra, be a part of us for our webinar Instrumenting Cloud Run with Prometheus or OpenTelemetry metrics on March fifth, 2024 to study extra!
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