aggregated sinks

Related topics

• aggregated sinks works with BigQuery From the official documentation: “If you have many projects under your organization, you can use aggregated sinks to aggregate and route the audit log entries from all projects under your organization to a BigQuery table.”
• aggregated sinks works with Cloud Storage From the official documentation: “Because audit logs for Google Workspace are organization-level logs, you route them using [aggregated sinks](/logging/docs/routing/overview#sinks) at the organizational level to these destinations: - [Cloud Storage buckets](/storage/docs/creating-buckets)”
• aggregated sinks works with Pub/Sub From the official documentation: “Because audit logs for Google Workspace are organization-level logs, you route them using [aggregated sinks](/logging/docs/routing/overview#sinks) at the organizational level to these destinations: - [Cloud Storage buckets](/storage/docs/creating-buckets) - [Pub/Sub…”
• aggregated sinks is part of sinks From the official documentation: “Determine whether you need folder-level or organization-level sinks, and route logs from all the Google Cloud projects inside the organization or folder using [aggregated sinks](/logging/docs/export/aggregated_sinks_overview).”
• Application Default Credentials works with Cloud Storage From the official documentation: “To authenticate to Cloud Storage, set up Application Default Credentials.”
• Sensitive Data Protection depends on Application Default Credentials From the official documentation: “To authenticate to Sensitive Data Protection, set up Application Default Credentials.”
• Application Default Credentials secures BigQuery From the official documentation: “To authenticate to BigQuery, set up Application Default Credentials.”
• BigQuery depends on Application Default Credentials From the official documentation: “To authenticate to BigQuery, set up Application Default Credentials.”
• BigQuery works with Sensitive Data Protection From the official documentation: “Uses the Data Loss Prevention API to analyze BigQuery data.”
• Application Default Credentials works with Pub/Sub From the official documentation: “To authenticate to Pub/Sub, set up Application Default Credentials.”
• 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”
• Application Default Credentials works with BigQuery From the official documentation: “Create a BigQuery client using application default credentials.”
• Application Default Credentials secures Pub/Sub From the official documentation: “To authenticate to Pub/Sub, set up Application Default Credentials.”
• Pub/Sub depends on Application Default Credentials From the official documentation: “To authenticate to Pub/Sub, set up Application Default Credentials.”
• Application Default Credentials secures Sensitive Data Protection From the official documentation: “To authenticate to Sensitive Data Protection, set up Application Default Credentials.”
• 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 BigQuery Data Transfer Service From the official documentation: “The BigQuery Data Transfer Service uses load jobs to load Amazon S3 data into BigQuery.”
• Application Default Credentials secures Cloud Storage From the official documentation: “To authenticate to Cloud Storage, set up Application Default Credentials.”
• Cloud Storage depends on Application Default Credentials From the official documentation: “To authenticate to Cloud Storage, set up Application Default Credentials.”
• 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”
• Pub/Sub works with Sensitive Data Protection From the official documentation: “Watch the Pub/Sub topic until the DLP job finishes”
• Application Default Credentials works with Sensitive Data Protection From the official documentation: “To authenticate to Sensitive Data Protection, set up Application Default Credentials.”
• 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 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 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 Pub/Sub From the official documentation: “createBigQuerySubscription creates a Pub/Sub subscription that exports messages to BigQuery.”
• Cloud Run depends on Application Default Credentials From the official documentation: “To authenticate to Cloud Run, set up Application Default Credentials.”
• 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.”
• Application Default Credentials works with Cloud Run From the official documentation: “To authenticate to Cloud Run, set up Application Default Credentials.”
• Cloud Logging depends on Application Default Credentials From the official documentation: “To authenticate to Logging, set up Application Default Credentials.”
• 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.”
• BigQuery depends on Cloud Logging From the official documentation: “BigQuery utilizes Cloud Logging for some of your log data.”
• BigQuery works with Google SecOps From the official documentation: “Google SecOps exports the following categories of data to your BigQuery project:”
• BigQuery Data Transfer Service works with Pub/Sub From the official documentation: “If you are using the Google Cloud console, you can schedule recurring copies, and configure an email or Pub/Sub notifications with the BigQuery Data Transfer Service.”
• Application Default Credentials configures Sensitive Data Protection From the official documentation: “To authenticate to Sensitive Data Protection, set up Application Default Credentials.”
• BigQuery works with Cloud Run From the official documentation: “You can then use Cloud Run to transcode data present in the bucket and move it to BigQuery.”
• BigQuery works with sinks From the official documentation: “[Configure and manage sinks](/logging/docs/export/configure_export_v2). This lets you stream logs to BigQuery for further analysis, save the raw logs to Cloud Storage, or send them to Pub/Sub messaging topics.”
• BigQuery Data Transfer Service works with Cloud Storage From the official documentation: “Retrieving events from the provided Pub/Sub subscription for Cloud Storage event-driven transfer”
• Cloud Logging works with Cloud Run From the official documentation: “Cloud Logging captures, stores, and analyzes Cloud Run logs.”
• Cloud Logging works with Google SecOps From the official documentation: “This document explains how to integrate Cloud Logging with Google Security Operations.”
• Google SecOps depends on Cloud Storage From the official documentation: “Google SecOps uses a unique service account to read data from your GCS bucket.”
• Application Default Credentials configures BigQuery From the official documentation: “To authenticate to BigQuery, set up Application Default Credentials.”
• Application Default Credentials works with Cloud Logging From the official documentation: “To authenticate to Logging, set up Application Default Credentials.”
• Application Default Credentials configures Cloud Run From the official documentation: “To authenticate to Cloud Run, set up Application Default Credentials.”
• Application Default Credentials configures Cloud Storage From the official documentation: “To authenticate to Cloud Storage, set up Application Default Credentials. For more information, see [Set up authentication for client libraries](/storage/docs/authentication#client-libs).”
• 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 Data Transfer Service works with Cloud Logging From the official documentation: “The BigQuery Data Transfer Service exports logs and metrics to Cloud Monitoring and Cloud Logging that provide observability into your transfers.”
• BigQuery Data Transfer Service depends on Pub/Sub From the official documentation: “The communication channel between the agent running on premises and BigQuery Data Transfer Service is by publishing Pub/Sub messages to a per transfer topic.”
• Cloud Logging is an alternative to Cloud Storage From the official documentation: “When you specify your own service account for builds, you must store your build logs either in Cloud Logging or in a user-created Cloud Storage bucket.”
• Cloud Run works with Google SecOps From the official documentation: “This guide explains how to export Cloud Run logs to Google Security Operations using Cloud Storage.”
• Cloud Storage works with sinks From the official documentation: “Using [sinks](/logging/docs/routing/overview#sinks), you can route some or all of your logs to these supported destinations: - [Cloud Storage](/storage/docs/creating-buckets)”
• Google SecOps works with Pub/Sub From the official documentation: “This document explains how to integrate Pub/Sub with Google Security Operations.”
• Google SecOps works with Sensitive Data Protection From the official documentation: “You can export your Sensitive Data Protection data to Google SecOps.”
• Pub/Sub works with sinks From the official documentation: “[Configure and manage sinks](/logging/docs/export/configure_export_v2). This lets you stream logs to BigQuery for further analysis, save the raw logs to Cloud Storage, or send them to Pub/Sub messaging topics.”
• Sensitive Data Protection secures BigQuery From the official documentation: “To help meet compliance requirements, use Sensitive Data Protection to inspect your BigQuery tables and to help protect your sensitive data.”