VPC Service Controls

Related topics

• service perimeter is part of VPC Service Controls From the official documentation: “Learn how to set up a service perimeter using VPC Service Controls.”
• VPC Service Controls secures BigQuery From the official documentation: “BigQuery data is protected with VPC Service Controls”
• Cloud Service Mesh works with VPC Service Controls From the official documentation: “You can now use VPC Service Controls with Cloud Service Mesh.”
• Shared VPC works with VPC Service Controls From the official documentation: “If you use both Shared VPC and VPC Service Controls, the host project that contains the network and the service project that contains the Managed Lustre instance must both be inside the same perimeter.”
• VPC Service Controls secures Cloud Storage From the official documentation: “Storage Transfer Service supports transfers to Cloud Storage buckets protected by VPC Service Controls.”
• Cloud Audit Logs works with VPC Service Controls From the official documentation: “VPC Service Controls integrate with Cloud Audit Logs to monitor access to the control plane.”
• Private Service Connect works with VPC Service Controls From the official documentation: “VPC Service Controls that use Private Service Connect”
• VPC Service Controls secures Network Connectivity Center From the official documentation: “To further secure your NCC resources, use VPC Service Controls.”
• VPC Service Controls configures service perimeter From the official documentation: “VPC Service Controls lets you set up a service perimeter to guard against data exfiltration.”
• Certificate Authority Service works with VPC Service Controls From the official documentation: “Yes, CA Service supports VPC Service Controls.”
• Identity and Access Management works with VPC Service Controls From the official documentation: “VPC Service Controls perimeters and Identity and Access Management (IAM) roles work together.”
• VPC Service Controls secures Cloud DNS From the official documentation: “You can use VPC Service Controls to secure your Cloud DNS configuration.”
• VPC Service Controls secures Compute Engine From the official documentation: “To further protect your Compute Engine resources, you can protect them using [VPC Service Controls](/vpc-service-controls/docs/overview).”
• BigQuery works with VPC Service Controls From the official documentation: “BigQuery integrates with VPC Service Controls to restrict access to your BigQuery resources from specific networks.”
• Cloud IDS works with VPC Service Controls From the official documentation: “After private services access is enabled, you can optionally enable [VPC Service Controls](/vpc-service-controls/docs/overview) on Cloud IDS.”
• Cloud Logging works with VPC Service Controls From the official documentation: “This page describes how you can find VPC Service Controls errors using Cloud Logging.”
• Cloud Monitoring works with VPC Service Controls From the official documentation: “Cloud Monitoring performs the VPC perimeter check when a project is *added* to a metrics scope:”
• VPC Service Controls secures Cloud IDS From the official documentation: “The API for Cloud IDS can be protected by VPC Service Controls, and the product can be used normally inside service perimeters.”
• VPC Service Controls secures Cloud Logging From the official documentation: “The API for Cloud Logging can be protected by VPC Service Controls and the product can be used normally inside service perimeters.”
• VPC Service Controls secures Cloud Monitoring From the official documentation: “VPC Service Controls provides additional security for Cloud Monitoring to help mitigate the risk of data exfiltration.”
• VPC Service Controls secures Cloud Run From the official documentation: “To learn more about the security features that Cloud Run provides, use the following resources: - [Access control with Identity and Access Management (IAM)](/run/docs/securing/managing-access) - [Per-service identity](/run/docs/securing/service-identity) - [Google Cloud Armor…”
• VPC Service Controls secures Cloud Service Mesh From the official documentation: “VPC Service Controls help defend against data exfiltration attacks and prevent external attackers from accessing services inside a mesh.”
• VPC Service Controls secures GKE From the official documentation: “The Kubernetes Engine API can be protected by VPC Service Controls and the product can be used normally inside service perimeters.”
• BigQuery is an alternative to Cloud Storage From the official documentation: “The `import_result_sink` must be a Cloud Storage path or a BigQuery table.”
• BigQuery works with Cloud Logging From the official documentation: “BigQuery utilizes Cloud Logging for some of your log data.”
• BigQuery works with Cloud Storage From the official documentation: “External BigQuery data source backed by Cloud Storage”
• Certificate Authority Service works with Cloud Service Mesh From the official documentation: “Configure Cloud Service Mesh to use CA Service”
• 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 Run works with Cloud Storage From the official documentation: “Route Cloud Storage events to Cloud Run”
• 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.”
• 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.”
• 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.”
• Cloud Service Mesh depends on Certificate Authority Service From the official documentation: “Cloud Service Mesh service security depends on the CA Service integration with GKE.”
• BigQuery works with Cloud Audit Logs From the official documentation: “Cloud Audit Logs maintain a record of Google Cloud events, including BigQuery events.”
• Certificate Authority Service works with GKE From the official documentation: “Cloud Service Mesh service security depends on the CA Service integration with GKE.”
• Cloud DNS works with GKE From the official documentation: “To create a new managed private zone using Cloud DNS for the GKE cluster, complete the following step.”
• Cloud Storage works with Identity and Access Management From the official documentation: “To learn how to use IAM with Cloud Storage, see [Using IAM Permissions](/storage/docs/access-control/using-iam-permissions).”
• Cloud Logging works with Cloud Storage From the official documentation: “Cloud Storage writes various log entries to Cloud Logging in the Google Cloud console.”
• 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”
• Identity and Access Management secures BigQuery From the official documentation: “Access to BigQuery data from AlloyDB is managed through IAM.”
• Identity and Access Management secures Cloud Storage From the official documentation: “Cloud Storage uses Identity and Access Management (IAM) for authorization.”
• 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.”
• Certificate Authority Service works with Cloud Storage From the official documentation: “For a Google-managed Cloud Storage bucket, CA Service creates a Google-managed bucket in the same location as the CA.”
• Cloud Audit Logs works with Cloud Storage From the official documentation: “Use Cloud Audit Logs to generate logs for API operations performed in Cloud Storage.”
• Cloud Logging works with Compute Engine From the official documentation: “Compute Engine sends you Cloud Logging events for scheduled, started, or completed maintenance.”
• 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.”
• Cloud Service Mesh works with Shared VPC From the official documentation: “For a detailed explanation of how Shared VPC is supported with Cloud Service Mesh, see [Limitations](/service-mesh/v1.25/docs/service-routing/limitations).”
• Cloud Storage works with Compute Engine From the official documentation: “You can use a web browser, the Google Cloud CLI, or a programming language to transfer files between Cloud Storage and Compute Engine VMs.”
• 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.”
• service perimeter secures BigQuery From the official documentation: “Protect the BigQuery resource by creating or updating a perimeter.”