VPC Service Controls

Related topics

• service perimeter is part of VPC Service Controls From the official documentation: “VPC Service Controls perimeters protect the AlloyDB API.”
• VPC Service Controls secures BigQuery From the official documentation: “BigQuery data is protected with VPC Service Controls”
• 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 Cloud SQL From the official documentation: “VPC Service Controls perimeters protect the Cloud SQL Admin API.”
• Storage Transfer Service works with VPC Service Controls From the official documentation: “For information about using VPC Service Controls with Storage Transfer Service, see [Using Storage Transfer Service with VPC Service Controls](/storage-transfer/docs/transfer-with-vpc-sc).”
• VPC Service Controls secures Compute Engine From the official documentation: “VPC Service Controls support for Compute Engine offers the following security benefits:”
• VPC Service Controls configures service perimeter From the official documentation: “VPC Service Controls is a Google Cloud feature that lets you set up a service perimeter and create a data transfer boundary.”
• Cloud Scheduler works with VPC Service Controls From the official documentation: “If your Google Cloud project is inside a VPC Service Controls perimeter in a Virtual Private Cloud network, the Cloud Scheduler integration with VPC Service Controls supports Cloud Run jobs as a target using the following URI format:”
• 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.”
• Sensitive Data Protection works with VPC Service Controls From the official documentation: “For information about VPC Service Controls support for Sensitive Data Protection, see the [Supported products](/vpc-service-controls/docs/supported-products#table_dlp) table in the VPC Service Controls documentation.”
• 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 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 Google Cloud Storage From the official documentation: “Storage Transfer Service supports on-premises transfers to Cloud Storage buckets protected by VPC Service Controls, under the following conditions:”
• 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.”
• 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:”
• Cloud SQL works with VPC Service Controls From the official documentation: “Make sure that you configure VPC Service Controls so that the project that hosts the CA Service CA pool and CA<br>and the project that hosts Cloud SQL belong to the same service perimeter.”
• Dataflow works with VPC Service Controls From the official documentation: “To customize DNS resolution when using Dataflow with VPC Service Controls, use Cloud DNS [private zones](/dns/docs/overview#dns-private-zones) instead of using custom BIND servers.”
• VPC Service Controls secures Cloud Scheduler From the official documentation: “This guide shows you how to include Cloud Scheduler jobs in a VPC Service Controls perimeter.”
• VPC Service Controls secures Dataflow From the official documentation: “Place your Dataflow pipelines inside a security perimeter using VPC Service Controls.”
• VPC Service Controls secures Pub/Sub From the official documentation: “If you use [VPC Service Controls](/vpc-service-controls/docs/overview) and your Pub/Sub topic is part of a project inside a service perimeter, you must grant access to projects in order to create notifications.”
• VPC Service Controls secures Sensitive Data Protection From the official documentation: “VPC Service Controls enables you to define a security perimeter around your projects and resources, including Sensitive Data Protection resources.”
• customer-managed encryption keys depends on Cloud Key Management Service From the official documentation: “These keys are created and managed using Cloud KMS.”
• BigQuery works with Sensitive Data Protection From the official documentation: “Uses the Data Loss Prevention API to analyze BigQuery data.”
• 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 Cloud SQL From the official documentation: “Add credentials to connect BigQuery to Cloud SQL.”
• BigQuery works with Dataflow From the official documentation: “Read from BigQuery to Dataflow”
• Cloud SQL works with Cloud Storage From the official documentation: “Exports data from a Cloud SQL instance to a Cloud Storage bucket as a SQL dump or CSV file.”
• BigQuery works with Cloud Monitoring From the official documentation: “You can use Monitoring to export your metrics to BigQuery.”
• Cloud Logging works with customer-managed encryption keys From the official documentation: “To use Cloud Logging with Customer-managed encryption keys (CMEK), you must complete the steps in the [Enable CMEK for an organization](/logging/docs/routing/managed-encryption#enable) page in the Cloud Logging documentation.”
• Cloud SQL works with Compute Engine From the official documentation: “This page describes how to use the mysql client, installed on a Compute Engine instance, to connect to Cloud SQL.”
• Dataflow works with Pub/Sub From the official documentation: “Pub/Sub notifies Dataflow about the upload.”
• Cloud Key Management Service works with customer-managed encryption keys From the official documentation: “With CMEK, Cloud Key Management Service wraps your stored volume keys.”
• Cloud Storage works with Storage Transfer Service From the official documentation: “Transfer data between Cloud Storage services such as AWS S3 and Cloud Storage.”
• Cloud Logging works with Cloud SQL From the official documentation: “Cloud SQL uses Cloud Logging.”
• customer-managed encryption keys secures Cloud Storage From the official documentation: “CMEKs encrypt data at rest in Cloud SQL, Cloud Storage, and within GKE clusters.”
• Dataflow works with Spanner From the official documentation: “Use Dataflow to load data into Spanner.”
• BigQuery works with Pub/Sub From the official documentation: “createBigQuerySubscription creates a Pub/Sub subscription that exports messages to BigQuery.”
• Cloud Scheduler works with Pub/Sub From the official documentation: “Create a Pub/Sub topic to set up as your Cloud Scheduler job target.”
• Pub/Sub works with Sensitive Data Protection From the official documentation: “Watch the Pub/Sub topic until the DLP job finishes”
• BigQuery is an alternative to Google Cloud Storage From the official documentation: “The training data can be either a CSV file in Cloud Storage or a table in BigQuery.”
• BigQuery is an alternative to Pub/Sub From the official documentation: “To keep audit logs for a longer period of time or to use more powerful search capabilities, you can route copies of your audit logs to Cloud Storage, BigQuery, or Pub/Sub.”
• BigQuery works with Spanner From the official documentation: “Reverse ETL (BigQuery to Spanner)”
• Cloud SQL depends on Compute Engine From the official documentation: “Cloud SQL uses Compute Engine virtual machines (VMs) with persistent storage disks.”
• Cloud Storage works with Dataflow From the official documentation: “Write from Dataflow to Cloud Storage”
• Cloud Storage works with Sensitive Data Protection From the official documentation: “Uses the Data Loss Prevention API to analyze a file on GCS.”
• BigQuery works with Google Cloud Storage From the official documentation: “Load Cloud Storage data into BigQuery”
• Cloud Monitoring works with Cloud SQL From the official documentation: “You can also get more details by viewing the Cloud Monitoring logs for your Cloud SQL destination instance.”
• Cloud SQL works with Identity and Access Management From the official documentation: “This page describes how Cloud SQL is integrated with IAM .”
• Cloud Storage works with Pub/Sub From the official documentation: “| **Google Cloud** | Cloud Storage | Pub/Sub |”
• customer-managed encryption keys secures BigQuery From the official documentation: “You can either create CMEKs manually to protect your BigQuery resources or use Cloud KMS Autokey.”
• Cloud Key Management Service works with Cloud SQL From the official documentation: “Cloud KMS integrates with Cloud SQL.”
• Cloud Storage works with customer-managed encryption keys From the official documentation: “Cloud Storage supports CMEK for routing logs.”
• customer-managed encryption keys secures Cloud SQL From the official documentation: “Enable CMEK for Cloud SQL Databases”
• customer-managed encryption keys secures Pub/Sub From the official documentation: “Encrypt Pub/Sub topic with CMEK”