Managed Service for Prometheus

Related topics

• GKE works with Managed Service for Prometheus From the official documentation: “The GKE cluster is configured with [Google Cloud Managed Service for Prometheus](/stackdriver/docs/managed-prometheus), which enables collection of metrics in the Prometheus format.”
• Cloud Logging works with Managed Service for Prometheus From the official documentation: “The Managed Service for Prometheus sidecar writes logs to Cloud Logging.”
• Cloud Monitoring depends on Managed Service for Prometheus From the official documentation: “To use the dashboard in Cloud Monitoring, you must enable [Google Cloud Managed Service for Prometheus](/stackdriver/docs/managed-prometheus), which collects the metrics from vLLM, in your GKE cluster.”
• Cloud Monitoring works with Managed Service for Prometheus From the official documentation: “The Managed Service for Prometheus sidecar reports the following metrics about itself to Cloud Monitoring:”
• Cloud Run works with Managed Service for Prometheus From the official documentation: “You deployed a Cloud Run service that reports custom OTLP metrics to Google Cloud Managed Service For Prometheus.”
• Gemini Enterprise Agent Platform works with Managed Service for Prometheus From the official documentation: “Gemini Enterprise Agent Platform automatically scrapes the `/metrics` endpoint of your container at a predefined interval. All qualified metrics are then exported to Google Cloud [Google Cloud Managed Service for Prometheus](/stackdriver/docs/managed-prometheus), where you can…”
• Google Kubernetes Engine works with Managed Service for Prometheus From the official documentation: “This document describes how to configure your Google Kubernetes Engine deployment so that you can use Google Cloud Managed Service for Prometheus to collect metrics from Redis.”
• Managed Service for Prometheus is part of Cloud Monitoring From the official documentation: “Google Cloud Managed Service for Prometheus is part of Cloud Monitoring and is available as an option for system components.”
• Managed Service for Prometheus depends on Cloud Monitoring From the official documentation: “We recommend that you use Google Cloud Managed Service for Prometheus, which is based in Cloud Monitoring, for all your monitoring needs.”
• Managed Service for Prometheus depends on Cloud Monitoring API From the official documentation: “Managed Service for Prometheus captures metric data by using the Cloud Monitoring API.”
• Managed Service for Prometheus is an alternative to OpenTelemetry From the official documentation: “If you want your application-generated metric and trace data to include application labels, then instrument your application with OpenTelemetry or use Google Cloud Managed Service for Prometheus.”
• Managed Service for Prometheus works with vertical pod autoscaling From the official documentation: “You can use vertical pod autoscaling (VPA) to dynamically allocate resources for Managed Service for Prometheus workloads.”
• Application Default Credentials secures BigQuery From the official documentation: “To authenticate to BigQuery, set up Application Default Credentials.”
• BigQuery depends on Application Default Credentials From the official documentation: “To authenticate to BigQuery, set up Application Default Credentials.”
• BigQuery works with Cloud Logging From the official documentation: “BigQuery utilizes Cloud Logging for some of your log data.”
• Application Default Credentials works with BigQuery From the official documentation: “Create a BigQuery client using application default credentials.”
• Application Default Credentials works with Compute Engine From the official documentation: “To authenticate to Compute Engine, set up Application Default Credentials.”
• Application Default Credentials secures Spanner From the official documentation: “To authenticate to Spanner, set up Application Default Credentials.”
• Application Default Credentials works with Spanner From the official documentation: “To authenticate to Spanner, set up Application Default Credentials.”
• Spanner depends on Application Default Credentials From the official documentation: “To authenticate to Spanner, set up Application Default Credentials.”
• BigQuery works with Cloud Monitoring From the official documentation: “You can use Monitoring to export your metrics to BigQuery.”
• Application Default Credentials secures Compute Engine From the official documentation: “To authenticate to Compute Engine, set up Application Default Credentials.”
• Cloud Logging works with GKE From the official documentation: “Enable Cloud Logging on GKE Clusters”
• Compute Engine is an alternative to GKE From the official documentation: “To use TPU7x, you can use Google Kubernetes Engine (GKE) or Compute Engine.”
• BigQuery works with Spanner From the official documentation: “Reverse ETL (BigQuery to Spanner)”
• Cloud Monitoring depends on Application Default Credentials From the official documentation: “To authenticate to Monitoring, set up Application Default Credentials.”
• Cloud Monitoring works with GKE From the official documentation: “Enable Cloud Monitoring on GKE Clusters”
• GKE works with Google Cloud Managed Service for Prometheus From the official documentation: “Google Cloud Managed Service for Prometheus is enabled for<br>GKE clusters by default.”
• BigQuery works with Gemini Enterprise Agent Platform From the official documentation: “The BigQuery dataset stores all versions for the associated Gemini Enterprise Agent Platform dataset.”
• Cloud Run depends on Application Default Credentials From the official documentation: “To authenticate to Cloud Run, set up Application Default Credentials.”
• Cloud Run is an alternative to GKE From the official documentation: “The app uses Cloud SQL, Vertex AI, and either Google Kubernetes Engine (GKE) or Cloud Run.”
• Application Default Credentials secures Gemini Enterprise Agent Platform From the official documentation: “To authenticate to Agent Platform, set up Application Default Credentials.”
• Application Default Credentials works with Cloud Run From the official documentation: “To authenticate to Cloud Run, set up Application Default Credentials.”
• Artifact Registry works with Cloud Run From the official documentation: “Cloud Run recommends using Artifact Registry.”
• Cloud Logging depends on Application Default Credentials From the official documentation: “To authenticate to Logging, set up Application Default Credentials.”
• Cloud Monitoring works with Spanner From the official documentation: “Monitor Spanner metrics using Cloud Monitoring.”
• Artifact Registry works with Compute Engine From the official documentation: “Compute Engine can pull containers directly from Artifact Registry repositories.”
• Artifact Registry works with GKE From the official documentation: “In the next tutorial, you deploy those images from the Artifact Registry repository to a GKE cluster:”
• BigQuery depends on Cloud Logging From the official documentation: “BigQuery utilizes Cloud Logging for some of your log data.”
• Cloud Logging works with Compute Engine From the official documentation: “Compute Engine sends you Cloud Logging events for scheduled, started, or completed maintenance.”
• Compute Engine is an alternative to Google Kubernetes Engine From the official documentation: “You can install MongoDB on a Compute Engine instance or you can deploy MongoDB on Google Kubernetes Engine.”
• GKE depends on Compute Engine From the official documentation: “For example, GKE deploys clusters on Compute Engine VMs.”
• Application Default Credentials secures Cloud Monitoring From the official documentation: “To authenticate to Monitoring, set up Application Default Credentials.”
• Application Default Credentials works with Gemini Enterprise Agent Platform From the official documentation: “To authenticate to Agent Platform, set up Application Default Credentials.”
• Application Default Credentials works with GKE From the official documentation: “To authenticate to GKE, set up Application Default Credentials.”
• BigQuery works with Cloud Run From the official documentation: “You can then use Cloud Run to transcode data present in the bucket and move it to BigQuery.”
• Cloud Logging works with Cloud Monitoring From the official documentation: “If a log entry matches the filter of the alerting policy, then Cloud Logging extracts labels and forwards the data to Cloud Monitoring.”
• Cloud Logging works with Cloud Run From the official documentation: “Cloud Logging captures, stores, and analyzes Cloud Run logs.”
• Cloud Logging works with Google Kubernetes Engine From the official documentation: “As an example, if you are using GKE, you can [use Cloud Logging to query](/logging/docs/view/building-queries) for GKE cluster audit logs.”
• Cloud Monitoring works with Cloud Run From the official documentation: “Cloud Monitoring records metrics regarding the execution of Cloud Run.”
• Cloud Monitoring works with Compute Engine From the official documentation: “Many Google services like Compute Engine send telemetry to Cloud Monitoring.”
• Cloud Run works with GKE From the official documentation: “Leverage Google Kubernetes Engine (GKE) and Cloud Run to deploy applications to the Google Cloud, optimizing costs, performance, and management overhead.”
• Cloud Run works with Google Kubernetes Engine From the official documentation: “Improved security: take advantage of automatic IAM JWT injection for more secure communication between GKE and Cloud Run.”
• Google Cloud Managed Service for Prometheus works with Google Kubernetes Engine From the official documentation: “This document describes how to configure your Google Kubernetes Engine deployment so that you can use Google Cloud Managed Service for Prometheus to collect metrics from Istio.”
• Google Kubernetes Engine depends on BigQuery From the official documentation: “This happens because Google Kubernetes Engine depends on BigQuery and Managed Service for Apache Airflow inherits this dependency from the Kubernetes Engine API.”
• Google Kubernetes Engine depends on Compute Engine From the official documentation: “Other products, such as [Google Kubernetes Engine](/kubernetes-engine) and [Dataflow](/dataflow), use Compute Engine resources and therefore, can be deployed in the same regions or zone.”
• Application Default Credentials configures BigQuery From the official documentation: “To authenticate to BigQuery, set up Application Default Credentials.”
• Application Default Credentials works with Cloud Logging From the official documentation: “To authenticate to Logging, set up Application Default Credentials.”
• Application Default Credentials works with Cloud Monitoring From the official documentation: “To authenticate to Monitoring, set up Application Default Credentials.”
• Application Default Credentials secures Cloud Monitoring API From the official documentation: “To authenticate to Monitoring, set up Application Default Credentials.”