Google Cloud Managed Service for Prometheus

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• 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.”
• Cloud Service Mesh works with Google Cloud Managed Service for Prometheus From the official documentation: “Google Cloud Managed Service for Prometheus, not including the Cloud Service Mesh dashboard”
• 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.”
• Cloud Monitoring works with Google Cloud Managed Service for Prometheus From the official documentation: “Managed Service for Prometheus shares the data-storage backend, Monarch, with Cloud Monitoring.”
• Cloud Run works with Google Cloud Managed Service for Prometheus From the official documentation: “Instrument your application by using either OpenTelemetry or the Managed Service for Prometheus sidecar for Cloud Run.”
• GKE depends on Google Cloud Managed Service for Prometheus From the official documentation: “For Standard GKE clusters, you must enable Google Cloud Managed Service for Prometheus to enable metrics collection for Ray clusters.”
• GKE Inference Gateway works with Google Cloud 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 GKE Inference Gateway.”
• Google Cloud 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.”
• Google Cloud Managed Service for Prometheus is part of GKE From the official documentation: “GKE clusters that use Autopilot include a Google Cloud Managed Service for Prometheus instance.”
• BigQuery works with Cloud Logging From the official documentation: “BigQuery utilizes Cloud Logging for some of your log data.”
• BigQuery works with Cloud Monitoring From the official documentation: “You can use Monitoring to export your metrics to BigQuery.”
• Identity and Access Management secures Cloud Service Mesh From the official documentation: “Access to Cloud Service Mesh in the Google Cloud console is controlled by [Identity and Access Management (IAM)](/iam/docs/overview).”
• 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.”
• Binary Authorization secures Cloud Run From the official documentation: “Binary Authorization is a software supply chain security product for GKE and Cloud Run.”
• Cloud Logging works with Cloud Service Mesh From the official documentation: “Cloud Service Mesh stores the dry-run results to Cloud Logging in the following labels:”
• Cloud Monitoring works with Cloud Service Mesh From the official documentation: “Mesh telemetry is no longer automatically ingested into Cloud Monitoring.”
• Cloud Monitoring works with GKE From the official documentation: “Enable Cloud Monitoring on GKE Clusters”
• Cloud Run works with Cloud Service Mesh From the official documentation: “This section shows you how to troubleshoot common errors with Cloud Service Mesh and Cloud Run.”
• Identity-Aware Proxy secures Cloud Run From the official documentation: “There are two ways to enable Identity-Aware Proxy for your Cloud Run services.”
• 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.”
• Identity-Aware Proxy secures Compute Engine From the official documentation: “Securing Compute Engine apps Enable IAP for Compute Engine apps.”
• Cloud Service Mesh depends on GKE From the official documentation: “Provision managed Cloud Service Mesh on a GKE cluster.”
• Cloud Service Mesh works with GKE From the official documentation: “# Set up a proxyless gRPC service mesh on GKE”
• Cloud Service Mesh works with Google Kubernetes Engine From the official documentation: “A GKE Cluster with Cloud Service Mesh enabled”
• Cloud Service Mesh works with Identity-Aware Proxy From the official documentation: “Integrate Identity-Aware Proxy with Cloud Service Mesh”
• Identity and Access Management secures BigQuery From the official documentation: “Access to BigQuery data from AlloyDB is managed through IAM.”
• BigQuery depends on Cloud Logging From the official documentation: “BigQuery utilizes Cloud Logging for some of your log data.”
• BigQuery works with Identity and Access Management From the official documentation: “BigQuery uses Identity and Access Management (IAM) for authorization.”
• Binary Authorization works with GKE From the official documentation: “Binary Authorization is disabled on a GKE cluster.”
• Cloud Logging works with Compute Engine From the official documentation: “Compute Engine sends you Cloud Logging events for scheduled, started, or completed maintenance.”
• Cloud Run works with Identity-Aware Proxy From the official documentation: “On the Cloud Run security page, find the checkbox for Identity-Aware Proxy (IAP).”
• Cloud Service Mesh works with Compute Engine From the official documentation: “You can run applications on the following platforms and adopt them into a global service mesh that Cloud Service Mesh configures. | Feature | Supported | | --- | --- | | Compute Engine virtual machine (VM) instances | ✔ |”
• Cloud Service Mesh works with Identity and Access Management From the official documentation: “For information about how and which permissions are evaluated for each method, see the Identity and Access Management documentation for Cloud Service Mesh.”
• 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.”
• Compute Engine works with Identity-Aware Proxy From the official documentation: “Set up a Compute Engine instance with IAP.”
• GKE depends on Compute Engine From the official documentation: “For example, GKE deploys clusters on Compute Engine VMs.”
• Identity and Access Management works with Identity-Aware Proxy From the official documentation: “The IAP API lets you to apply IAM permissions to individual resources in an IAP-secured project.”
• 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 Monitoring works with GKE Inference Gateway From the official documentation: “To configure Cloud Monitoring alerts for GKE Inference Gateway, perform the following steps:”
• 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.”
• Cloud Run works with Identity and Access Management From the official documentation: “Cloud Run also offers the ability to control access to a service with Identity and Access Management (IAM).”
• Cloud Service Mesh depends on Cloud Monitoring From the official documentation: “Cloud Service Mesh uses Cloud Monitoring to provide automatic telemetry and logs.”
• GKE works with Identity-Aware Proxy From the official documentation: “GKE users can implement<br>IAP following this<br>[guidance](/iap/docs/enabling-kubernetes-howto)”
• 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.”
• Identity and Access Management secures Compute Engine From the official documentation: “Compute Engine uses Identity and Access Management (IAM) for authorization.”
• Identity-Aware Proxy secures GKE From the official documentation: “Securing Google Kubernetes Engine apps Enable IAP for GKE apps.”
• BigQuery works with Compute Engine From the official documentation: “Compute Engine integrates with Google Cloud technologies such as Cloud Storage, Google Kubernetes Engine, and BigQuery, to extend beyond the basic computational capability to create more complex and sophisticated applications.”
• BigQuery works with GKE From the official documentation: “Subsequently, by integrating BigQuery with GKE, you can use BigQuery to efficiently handle massive datasets (like Google Analytics) and the model's natural language understanding capabilities to generate meaningful insights.”
• Binary Authorization works with Cloud Run From the official documentation: “This guide shows you how to disable Binary Authorization for Cloud Run.”
• Binary Authorization works with Cloud Service Mesh From the official documentation: “Cloud Service Mesh users need to only set up the Binary Authorization policy.”
• Binary Authorization secures Cloud Service Mesh From the official documentation: “[Google Cloud Binary Authorization](https://cloud.google.com/binary-authorization) ensures that the workload images in the mesh are the ones authorized by the administrators.”
• Binary Authorization secures GKE From the official documentation: “Binary Authorization is disabled on a GKE cluster.”