Assured Workloads

Related topics

• Assured Workloads works with BigQuery From the official documentation: “After the enablement process is completed, you can use BigQuery in your<br>Assured Workloads folder.”
• Access Approval works with Assured Workloads From the official documentation: “When used with<br>Assured Workloads, the Access Approval request<br>conditions are secondary to the applied Assured Workloads<br>personnel access assurances.”
• Key Access Justifications depends on Assured Workloads From the official documentation: “You can only use Key Access Justifications with Cloud KMS and Cloud HSM keys in folders enrolled in the Japan Regions control package in Assured Workloads.”
• AlloyDB works with Assured Workloads From the official documentation: “AlloyDB also supports Assured Workloads, which lets you apply controls to specific folders in your Google organization that support regulatory, regional, or sovereign requirements.”
• Assured Workloads works with Cloud Audit Logs From the official documentation: “This document describes audit logging for Assured Workloads. Google Cloud services generate audit logs that record administrative and access activities within your Google Cloud resources. For more information about Cloud Audit Logs, see the following:”
• Assured Workloads works with Cloud External Key Manager From the official documentation: “Assured Workloads supports Cloud EKM.”
• Assured Workloads works with Cloud Key Management Service From the official documentation: “Assured Workloads supports Cloud KMS.”
• Assured Workloads works with customer-managed encryption keys From the official documentation: “Assured Workloads supports CMEK for control packages such as IL4, for which CMEK is optional.”
• Assured Workloads works with Dataflow From the official documentation: “If you use Assured Workloads features with Dataflow, such as [EU Regions and Support with Sovereignty Controls](/assured-workloads/docs/concept-platform-controls#eu-sovereignty-controls), all Cloud Storage, BigQuery, Pub/Sub, I/O connectors, and other resources that your…”
• Assured Workloads works with Google SecOps From the official documentation: “If your organization requires specific compliance regimes (for example, FedRAMP High), deploy and use Google SecOps within a configured Google Cloud Assured Workloads environment.”
• Assured Workloads depends on Identity and Access Management From the official documentation: “Assured Workloads uses Identity and Access Management (IAM) for authorization.”
• Assured Workloads works with Identity and Access Management From the official documentation: “This page provides information about supporting compliance with customer personnel restrictions using Identity and Access Management (IAM) in combination with Assured Workloads.”
• customer-managed encryption keys secures Assured Workloads From the official documentation: “If you use customer-managed encryption keys (CMEK) to encrypt your Assured Workloads resources, this page shows you how to create and obtain those keys.”
• Identity and Access Management configures Assured Workloads From the official documentation: “This page describes the Identity and Access Management (IAM) roles you can use to configure Assured Workloads.”
• Managed Service for Apache Spark depends on Assured Workloads From the official documentation: “To use Managed Service for Apache Spark in alignment with FedRAMP Moderate or High levels hosting, you must use Assured Workloads and Assured Support (High only).”
• VPC Service Controls secures Assured Workloads From the official documentation: “The API for Assured Workloads can be protected by VPC Service Controls and the product can be used normally inside service perimeters.”
• customer-managed encryption keys depends on Cloud Key Management Service From the official documentation: “These keys are created and managed using Cloud KMS.”
• 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”
• Cloud Storage works with Google SecOps From the official documentation: “Configure a feed in Google SecOps to ingest from Google Cloud Storage”
• BigQuery works with Dataflow From the official documentation: “Read from BigQuery to Dataflow”
• VPC Service Controls secures BigQuery From the official documentation: “BigQuery data is protected with VPC Service Controls”
• 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.”
• Dataflow works with Pub/Sub From the official documentation: “Pub/Sub notifies Dataflow about the upload.”
• Google Cloud Storage works with Google SecOps From the official documentation: “Google SecOps uses a unique service account to read data from your GCS bucket.”
• 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.”
• 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 Google Cloud Storage From the official documentation: “Load Cloud Storage data into BigQuery”
• Cloud Storage works with Dataflow From the official documentation: “Write from Dataflow to Cloud Storage”
• 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 Managed Service for Apache Airflow From the official documentation: “Launch Dataflow pipelines with Cloud Composer”
• BigQuery works with Managed Service for Apache Spark From the official documentation: “This means you can quickly read and write BigQuery data to and from Managed Service for Apache Spark.”
• BigQuery works with Pub/Sub From the official documentation: “createBigQuerySubscription creates a Pub/Sub subscription that exports messages to BigQuery.”
• Cloud External Key Manager works with Key Access Justifications From the official documentation: “If you [use a Cloud EKM key](/alloydb/docs/cmek#ekm), then you can use Key Access Justifications to view the reason for each Cloud EKM request.”
• 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 Storage works with Managed Service for Apache Airflow From the official documentation: “Managed Airflow associates a Cloud Storage bucket with your environment.”
• 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.”
• customer-managed encryption keys secures Pub/Sub From the official documentation: “Encrypt Pub/Sub topic with CMEK”
• 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 Storage works with customer-managed encryption keys From the official documentation: “Cloud Storage supports CMEK for routing logs.”
• 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 Storage works with Pub/Sub From the official documentation: “| **Google Cloud** | Cloud Storage | Pub/Sub |”
• Cloud Storage 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.”
• Key Access Justifications is part of Cloud External Key Manager From the official documentation: “You can use Key Access Justifications as part of Cloud EKM.”
• VPC Service Controls secures Cloud Storage From the official documentation: “Storage Transfer Service supports transfers to Cloud Storage buckets protected by VPC Service Controls.”
• BigQuery is an alternative to Managed Service for Apache Spark From the official documentation: “Run queries against your federated data using BigQuery or Managed Service for Apache Spark.”
• 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.”
• 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 Logging works with Pub/Sub From the official documentation: “Pub/Sub writes various log entries to Cloud Logging in the Google Cloud console.”
• Cloud Storage works with Managed Service for Apache Spark From the official documentation: “Managed Service for Apache Spark accesses these files on Cloud Storage.”
• customer-managed encryption keys secures Managed Service for Apache Airflow From the official documentation: “This page describes how to use [Customer Managed Encryption Keys (CMEK)](/kms/docs/cmek) to protect Managed Airflow environments.”
• Dataflow is an alternative to Managed Service for Apache Spark From the official documentation: “For more complex data loads into your Cloud SQL for PostgreSQL database, consider using Dataflow or Managed Service for Apache Spark, which involves creating an ETL process.”
• 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.”
• 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.”
• 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.”