Identity and Access Management

Related topics

• 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 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).”
• 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 works with Identity and Access Management From the official documentation: “BigQuery uses Identity and Access Management (IAM) for authorization.”
• 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.”
• Identity and Access Management secures Cloud Deploy From the official documentation: “You can secure your Cloud Deploy resources using IAM in the following ways:”
• Identity and Access Management secures Cloud Trace From the official documentation: “Trace uses Identity and Access Management (IAM) for authorization.”
• Identity and Access Management works with Identity-Aware Proxy From the official documentation: “The IAP API lets you to apply IAM permissions to individual resources in an IAP-secured project.”
• Identity and Access Management secures Vertex AI From the official documentation: “A Vertex AI model with an active endpoint that you have Identity and Access Management (IAM) permission to access.”
• Cloud Run works with Identity and Access Management From the official documentation: “Cloud Run also offers the ability to control access to a service with Identity and Access Management (IAM).”
• Identity and Access Management secures Gemini Enterprise Agent Platform From the official documentation: “Agent Platform uses IAM to manage access to resources.”
• Identity and Access Management secures Knowledge Catalog From the official documentation: “IAM controls access to your Knowledge Catalog resources at the Google Cloud resource level.”
• Identity and Access Management secures Managed Service for Apache Airflow From the official documentation: “For access control, use Identity and Access Management and Managed Airflow [roles and permissions](/composer/docs/composer-2/access-control#user-account).”
• Identity and Access Management secures Pub/Sub From the official documentation: “Pub/Sub uses Identity and Access Management (IAM) for authorization.”
• 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.”
• Cloud Deploy depends on Identity and Access Management From the official documentation: “In addition to other Identity and Access Management permissions you need for using Cloud Deploy, you need the following permissions in order to perform additional actions that might be needed for a canary deployment:”
• Cloud Monitoring depends on Identity and Access Management From the official documentation: “To use Monitoring, you must have the appropriate [Identity and Access Management](/iam/docs/overview) (IAM) permissions.”
• Cloud Scheduler depends on Identity and Access Management From the official documentation: “Cloud Scheduler uses Identity and Access Management (IAM) for authorization.”
• Gemini Enterprise Agent Platform depends on Identity and Access Management From the official documentation: “Agent Platform uses IAM to manage access to resources.”
• Gemini Enterprise Agent Platform works with Identity and Access Management From the official documentation: “Learn more about [Gemini Enterprise Agent Platform access control with IAM](/gemini-enterprise-agent-platform/machine-learning/general/access-control).”
• GKE depends on Identity and Access Management From the official documentation: “GKE relies on and can be used with many other Google Cloud services, from IAM for access control to Cloud Billing for managing your costs.”
• Identity and Access Management secures Cloud Audit Logs From the official documentation: “IAM permissions and roles determine your ability to access audit logs data in the [Logging API](/logging/docs/reference/v2/rest), the [Logs Explorer](/logging/docs/view/logs-explorer-interface), and the [Google Cloud CLI](/logging/docs/reference/tools/gcloud-logging).”
• Identity and Access Management secures Cloud Run From the official documentation: “Cloud Run services are secured by IAM.”
• Identity and Access Management secures Cloud Scheduler From the official documentation: “Cloud Scheduler uses IAM for access control.”
• Identity and Access Management configures GKE From the official documentation: “First, as you would with most services on Google Cloud, you need to configure [IAM](/iam) roles in order to set up authorization on GKE.”
• Identity-Aware Proxy depends on Identity and Access Management From the official documentation: “When an application or resource is protected by IAP, it can only be accessed through the proxy by [principals](/iam/docs/overview#concepts_related_identity), also known as users, who have the correct [Identity and Access Management (IAM) role](/iam/docs/understanding-roles).”
• Knowledge Catalog depends on Identity and Access Management From the official documentation: “Knowledge Catalog uses Identity and Access Management (IAM) for authorization.”
• Managed Service for Apache Airflow depends on Identity and Access Management From the official documentation: “Managed Airflow uses [Identity and Access Management (IAM)](/iam) for access control.”
• 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”
• VPC Service Controls secures BigQuery From the official documentation: “BigQuery data is protected with VPC Service Controls”
• 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.”
• Cloud Run works with Cloud Scheduler From the official documentation: “Create a Cloud Scheduler job that triggers the Cloud Run service daily.”
• Cloud Run works with Pub/Sub From the official documentation: “Route Cloud Pub/Sub events to Cloud Run”
• Cloud Run works with Cloud Storage From the official documentation: “Route Cloud Storage events to Cloud Run”
• 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.”
• Cloud Logging works with GKE From the official documentation: “Enable Cloud Logging on GKE Clusters”
• Cloud Deploy works with Cloud Run From the official documentation: “Quickstart: Deploy an app to Cloud Run by using Cloud Deploy”
• 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 depends on Pub/Sub From the official documentation: “Create a Pub/Sub topic that Cloud Scheduler will publish to and the Cloud Run function will subscribe to.”
• Cloud Service Mesh works with VPC Service Controls From the official documentation: “You can now use VPC Service Controls with Cloud Service Mesh.”
• Identity-Aware Proxy secures Cloud Run From the official documentation: “There are two ways to enable Identity-Aware Proxy for your Cloud Run services.”
• 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.”
• BigQuery works with Pub/Sub From the official documentation: “createBigQuerySubscription creates a Pub/Sub subscription that exports messages to BigQuery.”
• 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 Service Mesh works with Cloud Trace From the official documentation: “Integrate with Cloud Trace, which is an optional feature in Cloud Service Mesh.”
• Cloud Storage works with Managed Service for Apache Airflow From the official documentation: “Managed Airflow associates a Cloud Storage bucket with your environment.”
• 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 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.”
• Vertex AI is part of Gemini Enterprise Agent Platform From the official documentation: “Vertex AI's services are now part of Gemini Enterprise Agent Platform.”