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.”
• VPC Service Controls secures Managed Service for Apache Airflow From the official documentation: “Managed Airflow can be selected as a secured service inside a VPC Service Controls perimeter.”
• Managed Service for Apache Airflow works with VPC Service Controls From the official documentation: “When used with Managed Airflow, VPC Service Controls have several [known limitations](/vpc-service-controls/docs/supported-products#composer).”
• 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.”
• VPC Service Controls secures Gemini Enterprise From the official documentation: “The API for Gemini Enterprise can be protected by VPC Service Controls and the product can be used normally inside service perimeters.”
• VPC Service Controls secures Gemini Enterprise Agent Platform From the official documentation: “The API for Agent Platform can be protected by VPC Service Controls and the product can be used normally inside service perimeters.”
• VPC Service Controls secures Network Connectivity Center From the official documentation: “To further secure your NCC resources, use 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 Knowledge Catalog From the official documentation: “The API for Knowledge Catalog can be protected by VPC Service Controls and the product can be used normally inside service perimeters.”
• 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 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:”
• Gemini Enterprise Agent Platform works with VPC Service Controls From the official documentation: “For information on using Gemini Enterprise Agent Platform VPC Service Controls, see [VPC Service Controls with Gemini Enterprise Agent Platform](/gemini-enterprise-agent-platform/machine-learning/general/vpc-service-controls).”
• Knowledge Catalog works with VPC Service Controls From the official documentation: “The integration between Looker (Google Cloud core) and Knowledge Catalog supports VPC Service Controls.”
• 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”
• BigQuery works with Knowledge Catalog From the official documentation: “Some Knowledge Catalog functionalities trigger job execution using BigQuery.”
• 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”
• 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.”
• 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 Logging works with Managed Service for Apache Airflow From the official documentation: “You can use [Cloud Monitoring](/monitoring/docs) and [Cloud Logging](/logging/docs) with Managed Service for Apache Airflow.”
• 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 Storage works with Managed Service for Apache Airflow From the official documentation: “Managed Airflow associates a Cloud Storage bucket with your environment.”
• Managed Service for Apache Airflow works with Shared VPC From the official documentation: “Make sure that you configured Shared VPC networking for Managed Airflow.”
• BigQuery works with Cloud Audit Logs From the official documentation: “Cloud Audit Logs maintain a record of Google Cloud events, including BigQuery events.”
• BigQuery works with Managed Service for Apache Airflow From the official documentation: “You can use Managed Airflow to orchestrate services in your data pipelines, such as triggering a job in BigQuery or starting a Dataflow pipeline.”
• Cloud Monitoring works with Managed Service for Apache Airflow From the official documentation: “You can use [Cloud Monitoring](/monitoring/docs) and [Cloud Logging](/logging/docs) with Managed Service for Apache Airflow.”
• 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”
• 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.”
• AlloyDB for PostgreSQL works with BigQuery From the official documentation: “BigQuery AlloyDB federation lets BigQuery query data residing in AlloyDB in real time without copying or moving the data.”
• AlloyDB for PostgreSQL works with Cloud Storage From the official documentation: “AlloyDB supports importing and exporting compressed `.gz` files from Cloud Storage.”
• AlloyDB for PostgreSQL works with Gemini Enterprise Agent Platform From the official documentation: “Integrate AlloyDB with Gemini Enterprise Agent Platform”
• AlloyDB for PostgreSQL works with Private Service Connect From the official documentation: “This page describes how to use Private Service Connect to connect to an AlloyDB for PostgreSQL instance.”
• 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:”
• Artifact Registry works with Managed Service for Apache Airflow From the official documentation: “Don't modify or delete the images built by Managed Airflow in Artifact Registry or the repository itself.”
• BigQuery depends on Cloud Logging From the official documentation: “BigQuery utilizes Cloud Logging for some of your log data.”
• BigQuery works with Gemini Enterprise From the official documentation: “The following table compares the two ways that you can import BigQuery data into Gemini Enterprise data stores.”
• BigQuery works with Identity and Access Management From the official documentation: “BigQuery uses Identity and Access Management (IAM) for authorization.”