folder

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• folder is part of bucket From the official documentation: “The parent bucket of the folder.”
• folder is part of Cloud Storage From the official documentation: “The folder and its contents, including stored objects and other managed folders, are deleted from your Cloud Storage bucket.”
• folder works with Google Cloud CLI From the official documentation: “You can view folder details, update display names, move folders, and delete unneeded folders using the Google Cloud console, the Google Cloud CLI, or the Cloud Resource Manager API.”
• IAM policy configures folder From the official documentation: “Set IAM policy for a folder.”
• 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 Storage works with Dataflow From the official documentation: “Write from Dataflow to Cloud Storage”
• Cloud Logging works with GKE From the official documentation: “Enable Cloud Logging on GKE Clusters”
• 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 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 Storage Transfer Service From the official documentation: “Enable Cloud Logging for agentless transfers, or transfers from S3-compatible sources, with `--log-actions` and `--log-action-states`.”
• Cloud Storage works with Managed Service for Apache Spark From the official documentation: “Managed Service for Apache Spark accesses these files on Cloud Storage.”
• managed folders is part of bucket From the official documentation: “The parent bucket of the managed folder.”
• Managed Service for Apache Spark depends on Cloud Storage From the official documentation: “Managed Service for Apache Spark uses Cloud Storage as its default distributed file system.”
• Cloud Logging is an alternative to Cloud Storage From the official documentation: “Instead, they are routed to either Cloud Storage (recommended) or Cloud Logging, depending on your organization's configuration.”
• 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 works with Google Cloud CLI From the official documentation: “Dataflow integrates with the Google Cloud CLI.”
• 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.”
• GKE works with Google Cloud CLI From the official documentation: “GKE manages end-user authentication for you through the Google Cloud CLI.”
• IAM policy configures managed folders From the official documentation: “Set the IAM policy for a managed folder.”
• IAM policy secures managed folders From the official documentation: “You can apply IAM policies on a managed folder to control access to the resources within the managed folder.”
• managed folders is part of Cloud Storage From the official documentation: “Manage Cloud Storage managed folders.”
• Storage Transfer Service depends on Cloud Storage From the official documentation: “Storage Transfer Service requires access to Cloud Storage buckets in order to move data into or between Cloud Storage buckets.”
• bucket is part of Cloud Storage From the official documentation: “Download an object from a Cloud Storage bucket.”
• bucket works with GKE From the official documentation: “You can connect your buckets as storage backends for other Google Cloud services, such as AI Hypercomputer, Vertex AI, and Google Kubernetes Engine.”
• Cloud Logging works with Dataflow From the official documentation: “You can control the volume of Dataflow logs ingested by Cloud Logging by following the [Filter logs documentation](/dataflow/docs/guides/filter-logs).”
• Cloud Logging is an alternative to Google Cloud CLI From the official documentation: “This section shows you how to verify the encryption key that was used during cluster creation. You can perform this verification using Cloud Logging or by using the Google Cloud CLI.”
• Cloud Logging works with Managed Service for Apache Spark From the official documentation: “Enables (`true`) or disables (`false`) Managed Service for Apache Spark job driver logs in [Cloud Logging](/logging/docs).”
• Cloud Storage works with GKE From the official documentation: “This example configures GKE to store Pod snapshots in the `FOLDER_PATH/` path inside the Cloud Storage bucket `BUCKET_NAME`:”
• GKE works with Managed Service for Apache Spark From the official documentation: “You can create Managed Service for Apache Spark clusters on: - [Managed Service for Apache Spark clusters on Compute Engine](/dataproc/docs/guides/create-cluster) - [Managed Service for Apache Spark clusters on GKE](/dataproc/docs/guides/dpgke/dataproc-gke-overview)”
• Google Cloud CLI configures Cloud Logging From the official documentation: “You can update your cluster's [Cloud Logging](/kubernetes-engine/multi-cloud/docs/aws/how-to/cloud-logging) configuration settings with the Google Cloud CLI.”
• Google Cloud CLI configures IAM policy From the official documentation: “You can get and set IAM policies using the Google Cloud console, the Identity and Access Management API, or the gcloud CLI.”
• Google Cloud CLI works with Managed Service for Apache Spark From the official documentation: “When you use the [gcloud CLI](/sdk/gcloud/reference/dataproc) to access Managed Service for Apache Spark, you authenticate to Google Cloud as a principal, which provides the credentials used by the gcloud CLI commands.”
• Google Cloud CLI configures Managed Service for Apache Spark From the official documentation: “You can specify one or more labels to be applied to a Managed Service for Apache Spark cluster or job at creation or submit time using the Google Cloud CLI.”
• Google Cloud CLI is an alternative to Storage Transfer Service From the official documentation: “**Note:** To transfer less than 1 TB of data from Cloud Storage buckets, use the Google Cloud CLI. For more information, see [Copying data from a Cloud Storage bucket to a Filestore file share](/filestore/docs/copying-data) or [When to use Storage Transfer…”
• IAM policy configures bucket From the official documentation: “To remove public access for all objects within a bucket, remove the IAM policy that grants `allUsers` the Storage Object Viewer (`roles/storage.objectViewer`) role:”
• IAM policy configures Cloud Storage From the official documentation: “Access to new buckets is managed using IAM policies instead of<br>[Cloud Storage Access control lists (ACLs)](/storage/docs/access-control/lists).”
• Managed Service for Apache Spark depends on Cloud Logging From the official documentation: “Managed Service for Apache Spark clusters require network connectivity to Google Cloud APIs and services, such as the Dataproc API, Cloud Storage, and Cloud Logging, and to user resources, such as data sources in other VPC networks or on-premises environments.”