IAM Roles

Related topics

• IAM permissions is part of IAM Roles From the official documentation: “IAM roles that apply to Cloud SQL and the permissions contained in each role.”
• IAM Roles is part of Identity and Access Management From the official documentation: “IAM roles give the principals permissions to perform tasks on your App Topology resources.”
• custom roles is part of IAM Roles From the official documentation: “This requirement applies to both [predefined roles](/iam/docs/roles-permissions) and [custom roles](/iam/docs/roles-overview#custom).”
• IAM Roles configures service account From the official documentation: “2. [Grant the necessary Identity and Access Management roles](#grant-iam-roles) to your service account.”
• IAM Roles configures service accounts From the official documentation: “You can grant IAM roles to users, groups, and service accounts. These roles define what they can do with your resources.”
• Google Cloud console configures IAM Roles From the official documentation: “You can get and set IAM allow policies and IAM roles using the Google Cloud Console.”
• IAM permissions works with IAM Roles From the official documentation: “This page lists the IAM roles and permissions for Apigee Registry.”
• IAM Roles secures Bigtable From the official documentation: “Access to your Bigtable tables is controlled by your Google Cloud project and the [Identity and Access Management (IAM) roles](/bigtable/docs/access-control#roles) that you assign to users.”
• IAM Roles secures Cloud Storage From the official documentation: “**Fine-grained access control**: Control agent access to Cloud Storage precisely using [IAM roles](/storage/docs/access-control/iam-roles).”
• IAM Roles configures Cloud Storage bucket From the official documentation: “Provide your instance with the `storage.objectAdmin` and `objectViewer` [IAM roles](/storage/docs/access-control/iam-roles) for your bucket.”
• IAM Roles is part of Identity and Access Management (IAM) From the official documentation: “To prevent test disruptions, ensure that your Identity and Access Management (IAM) roles, policies, and failover configurations are correctly set up.”
• IAM Roles configures permissions From the official documentation: “Assign one or more IAM roles to a principal to grant permissions.”
• IAM Roles works with service account From the official documentation: “In this section, you designate the service account for the gateway proxies and assign them the correct IAM roles.”
• OS Login depends on IAM Roles From the official documentation: “Because OS Login uses IAM roles to authenticate users, it denies access to local accounts that are not associated with a Google identity and the required permissions.”
• Google Cloud CLI is an alternative to Google Cloud console From the official documentation: “You can use the console or the Google Cloud CLI to change the settings.”
• 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 Storage From the official documentation: “Sample to load Avro data from Cloud Storage into a new BigQuery table”
• BigQuery works with Dataflow From the official documentation: “Read from BigQuery to Dataflow”
• Cloud Storage works with Dataflow From the official documentation: “Write from Dataflow to Cloud Storage”
• Compute Engine works with service account From the official documentation: “A common method is to attach a service account to a resource like a Compute Engine instance.”
• BigQuery works with Bigtable From the official documentation: “BigQuery lets you query your Bigtable data from BigQuery.”
• Cloud Storage works with Google Cloud CLI From the official documentation: “The gcloud CLI is the preferred command line tool for accessing Cloud Storage.”
• Cloud Storage works with Compute Engine From the official documentation: “For example, you can create a service account that your Compute Engine instances use to access objects stored in Cloud Storage buckets.”
• Bigtable works with Dataflow From the official documentation: “The Dataflow job then writes the transformed data to your Bigtable table.”
• Cloud Storage bucket is part of Cloud Storage From the official documentation: “Create a Google Cloud Storage bucket”
• Compute Engine works with Google Cloud CLI From the official documentation: “Some applications might use commands from the gcloud CLI, which is included by default in most Compute Engine images.”
• IAM secures BigQuery From the official documentation: “BigQuery uses IAM to manage access to resources.”
• Identity and Access Management secures Cloud Storage From the official documentation: “Cloud Storage uses Identity and Access Management (IAM) for authorization.”
• service account is part of Identity and Access Management From the official documentation: “Service accounts function as both principals and resources within IAM.”
• BigQuery works with Identity and Access Management From the official documentation: “BigQuery uses Identity and Access Management (IAM) for authorization.”
• Bigtable is an alternative to Cloud Storage From the official documentation: “If the joining data is in the gigabyte or terabyte range, use either Bigtable or Cloud Storage to merge the joining data to the driving data, depending on the nature of the data.”
• Cloud Storage works with service account From the official documentation: “The service account can manage objects in the Cloud Storage bucket.”
• custom roles is part of Identity and Access Management From the official documentation: “To support this, IAM offers [custom roles](/iam/docs/creating-custom-roles).”
• Dataflow depends on Cloud Storage From the official documentation: “Begin by creating a Cloud Storage bucket using the Google Cloud console or Google Cloud CLI. The Dataflow pipeline uses this bucket as a temporary storage location.”
• Dataflow depends on Compute Engine From the official documentation: “When Dataflow runs a pipeline, the processing is distributed across multiple Compute Engine virtual machines (VMs), also known as workers.”
• Dataflow works with Google Cloud CLI From the official documentation: “Dataflow integrates with the Google Cloud CLI.”
• IAM permissions is part of roles From the official documentation: “IAM permissions are [grouped into roles](/document-ai/docs/access-control/iam-roles), and you assign roles to users and groups.”
• Identity and Access Management secures Compute Engine From the official documentation: “Compute Engine uses Identity and Access Management (IAM) for authorization.”
• Identity and Access Management works with OS Login From the official documentation: “OS Login lets you to manage access to instances using IAM.”
• Identity and Access Management (IAM) secures BigQuery From the official documentation: “BigQuery uses IAM for fine-grained access control.”
• OS Login is part of Compute Engine From the official documentation: “Require OS Login on Compute Engine Instances”
• roles configures permissions From the official documentation: “You can grant permissions by granting roles to a principal.”
• BigQuery depends on Cloud Storage From the official documentation: “BigQuery relies on Cloud Storage for staging file data and supports reading from and writing to several other sources and Google Cloud services.”
• BigQuery works with Cloud Storage bucket From the official documentation: “BigQuery lets you load [Datastore](/datastore) entities from a Cloud Storage bucket into a BigQuery table for analysis.”
• BigQuery works with Compute Engine From the official documentation: “Compute Engine integrates with Google Cloud technologies such as Cloud Storage, Google Kubernetes Engine, and BigQuery, to extend beyond the basic computational capability to create more complex and sophisticated applications.”
• BigQuery works with service account From the official documentation: “The service account can be used by services, such as Cloud Run, to read and modify data in the BigQuery dataset.”
• Bigtable works with Cloud Storage From the official documentation: “For example, if you frequently write data to Bigtable from a Cloud Storage bucket in the `us-central1` (Iowa) region, create your Bigtable cluster in a zone within `us-central1`.”
• Bigtable works with Compute Engine From the official documentation: “OAuth scopes let Google Cloud services such as Compute Engine and Dataflow authenticate and connect to Bigtable.”
• Bigtable works with Google Cloud CLI From the official documentation: “When you use the [gcloud CLI](/sdk/gcloud/reference/bigtable) to access Bigtable, you authenticate to Google Cloud as a principal, which provides the credentials used by the gcloud CLI commands.”
• Bigtable works with Google Cloud console From the official documentation: “You can monitor Bigtable visually, using charts that are available in the [Google Cloud console](https://console.cloud.google.com/), or you can programmatically call the Cloud Monitoring API.”
• Bigtable works with Identity and Access Management (IAM) From the official documentation: “Bigtable uses [IAM](/iam) for access control.”
• Cloud Storage works with custom roles From the official documentation: “VPC Service Controls supports [custom roles](/iam/docs/creating-custom-roles) for Cloud Storage in ingress and egress rules, but doesn't support the [predefined Cloud Storage roles](/storage/docs/access-control/iam-roles#standard-roles).”
• Cloud Storage works with Google Cloud console From the official documentation: “The browser-based Google Cloud console tool lets you manage your Cloud Storage resources through a graphical interface.”
• Cloud Storage works with IAM From the official documentation: “Use IAM and Cloud Storage Terraform resources to create a public Cloud Storage bucket.”
• 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 bucket works with Dataflow From the official documentation: “Begin by creating a Cloud Storage bucket using Google Cloud CLI. This bucket is used as a temporary storage location by the Dataflow pipeline.”
• Cloud Storage bucket works with Google Cloud CLI From the official documentation: “Use the following command to upload your audio file to an existing Cloud Storage bucket using the [Google Cloud CLI](/cli).”
• Compute Engine depends on service account From the official documentation: “The Service Account is used by Compute Engine to access other Google APIs.”
• custom roles is part of IAM From the official documentation: “To support this, IAM offers [custom roles](/iam/docs/creating-custom-roles).”
• custom roles is part of roles From the official documentation: “Type of roles to list. Valid values are 'custom', 'predefined', or 'all'.”