VPC Service Controls

Related topics

• 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 Artifact Registry From the official documentation: “If your VPC Service Controls settings are blocking access to Artifact Registry, you must add the Artifact Registry service to the service perimeter of your VPC Service Controls.”
• Artifact Analysis works with VPC Service Controls From the official documentation: “VPC Service Controls provides support for Artifact Analysis.”
• Cloud Asset Inventory works with VPC Service Controls From the official documentation: “VPC Service Controls can be used with Cloud Asset Inventory to provide additional security for your assets.”
• 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 Binary Authorization From the official documentation: “By adding Binary Authorization to the security perimeter, VPC Service Controls can help protect these resources and services.”
• VPC Service Controls secures Telemetry API From the official documentation: “The Telemetry API is a VPC Service Controls-supported service.”
• 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 Key Management Service works with VPC Service Controls From the official documentation: “If you want your Dataproc Metastore service to run inside a [VPC Service Controls](/dataproc-metastore/docs/vpc-sc) perimeter, you must add the Cloud Key Management Service (Cloud KMS) API to the perimeter.”
• 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.”
• Telemetry API works with VPC Service Controls From the official documentation: “The Telemetry API integration with VPC Service Controls has no known limitations.”
• VPC Service Controls secures Cloud Key Management Service From the official documentation: “The Cloud KMS API can be protected by VPC Service Controls and the product can be used 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 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”
• Artifact Analysis works with Artifact Registry From the official documentation: “Artifact Analysis scans new images when they're uploaded to Artifact Registry.”
• BigQuery works with Cloud Asset Inventory From the official documentation: “You can also use Cloud Asset Inventory to transfer this data into 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”
• 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 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.”
• App Engine is an alternative to Cloud Run From the official documentation: “App Engine and Cloud Run are Google Cloud platforms for hosting apps and services.”
• BigQuery works with Cloud Audit Logs From the official documentation: “Cloud Audit Logs maintain a record of Google Cloud events, including BigQuery events.”
• 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).”
• Artifact Registry works with Cloud Run From the official documentation: “Cloud Run recommends using Artifact Registry.”
• 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.”
• 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 works with Cloud Key Management Service From the official documentation: “Change the Cloud KMS key for a BigQuery table”
• 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 Audit Logs works with Cloud Key Management Service From the official documentation: “Cloud Audit Logs for Cloud KMS in the Activity stream read like generic logs, and are not easily read by a human.”
• 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 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).”
• App Engine works with Artifact Registry From the official documentation: “Store dependencies for your App Engine applications in Artifact Registry.”
• App Engine works with Cloud Logging From the official documentation: “App Engine automatically sends both the request logs and app logs to the [Cloud Logging](/logging/docs/overview) agent.”
• App Engine works with Cloud Storage From the official documentation: “To use a Cloud Storage bucket from an App Engine app:”
• Artifact Analysis works with Binary Authorization From the official documentation: “With Binary Authorization, you may use Artifact Analysis to store attestors and attestations as notes and occurrences, respectively.”
• 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 Asset Inventory works with Cloud Storage From the official documentation: “To analyze changes, export your asset metadata to BigQuery or Cloud Storage.”
• Cloud Key Management Service secures BigQuery From the official documentation: “You can encrypt data at the dataset or project level with the default customer-managed Cloud Key Management Service keys in BigQuery.”
• Cloud Logging works with Cloud Run From the official documentation: “Cloud Logging captures, stores, and analyzes Cloud Run logs.”