service account authentication

Related topics

• Cloud Run works with service account authentication From the official documentation: “We recommend using service account authorization when your webhooks target services or endpoints that validate Google OIDC ID tokens using IAM instead of using shared secrets. Examples of such services include private Cloud Run services or Cloud Run functions functions.”
• Cloud Run functions works with service account authentication From the official documentation: “We recommend using service account authorization when your webhooks target services or endpoints that validate Google OIDC ID tokens using IAM instead of using shared secrets. Examples of such services include private Cloud Run services or Cloud Run functions functions.”
• service account authentication is part of BigQuery Data Transfer Service From the official documentation: “You can configure service account authentication through the Google Cloud console, the API, or the `bq` command line, and you can [update existing transfers](#update_data_transfer_credentials) when credentials change.”
• 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 Cloud SQL From the official documentation: “Add credentials to connect BigQuery to Cloud SQL.”
• BigQuery works with Cloud Logging From the official documentation: “BigQuery utilizes Cloud Logging for some of your log data.”
• Cloud SQL works with Cloud Storage From the official documentation: “Exports data from a Cloud SQL instance to a Cloud Storage bucket as a SQL dump or CSV file.”
• Cloud Run depends on Pub/Sub From the official documentation: “Cloud Run function triggered by Pub/Sub to fetch HYPR MFA logs and write to GCS.”
• 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.”
• Cloud Run functions works with Pub/Sub From the official documentation: “Use Cloud Run functions to publish messages on Pub/Sub.”
• BigQuery works with Cloud Run functions From the official documentation: “Learn how to write an HTTP Cloud Run function that submits a query to BigQuery.”
• Cloud Run works with Cloud SQL From the official documentation: “Connecting from Cloud Run (fully managed) to Cloud SQL”
• BigQuery works with Pub/Sub From the official documentation: “createBigQuerySubscription creates a Pub/Sub subscription that exports messages to BigQuery.”
• 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 Run depends on service account From the official documentation: “The Cloud Run function needs a service account with permissions to write to GCS bucket and be invoked by 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.”
• Cloud Logging works with Cloud SQL From the official documentation: “Database Migration Service and Cloud SQL use Cloud Logging.”
• 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 Run functions works with Cloud Storage From the official documentation: “(GCF translates GCS notifications to HTTP requests internally)”
• Cloud Run functions depends on Pub/Sub From the official documentation: “The Pub/Sub message triggers Cloud Run functions.”
• Cloud Storage works with Pub/Sub From the official documentation: “| **Google Cloud** | Cloud Storage | Pub/Sub |”
• 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 Data Transfer Service works with Cloud Storage From the official documentation: “- [Cloud Storage](/bigquery/docs/cloud-storage-transfer)”
• Cloud Run works with Cloud Storage From the official documentation: “Receive events from Cloud Storage in a Cloud Run service”
• BigQuery depends on Cloud Logging From the official documentation: “BigQuery utilizes Cloud Logging for some of your log data.”
• 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 works with Pub/Sub From the official documentation: “If you intend to set up transfer run notifications for Pub/Sub, you must have `pubsub.topics.setIamPolicy` permissions.”
• Cloud Logging works with Cloud Run functions From the official documentation: “Cloud Run functions is configured to use Cloud Logging automatically.”
• 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.”
• Cloud Run works with Pub/Sub From the official documentation: “A Cloud Run app receives the Pub/Sub message.”
• Cloud Run functions depends on service account From the official documentation: “The Cloud Run function needs a service account with permissions to write to GCS bucket and be invoked by Pub/Sub.”
• Cloud Storage works with service account From the official documentation: “The service account can manage objects in the Cloud Storage bucket.”
• Pub/Sub works with service account From the official documentation: “5. Creates a service account to represent the Pub/Sub subscription identity.”
• 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 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 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.”
• BigQuery Data Transfer Service works with Cloud SQL From the official documentation: “BigQuery Data Transfer Service lets you transfer data from a private Cloud SQL instance across different Google Cloud projects over an internal IP address.”
• 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.”
• BigQuery Data Transfer Service works with service account From the official documentation: “BigQuery Data Transfer Service lets you authenticate data transfers for supported data sources by using a [service account](/iam/docs/service-account-overview) instead of individual user credentials.”
• Cloud Logging works with Cloud Run From the official documentation: “Cloud Logging captures, stores, and analyzes Cloud Run logs.”
• Cloud Run is an alternative to Cloud Run functions From the official documentation: “The blueprint supports the following use cases: - Deploying a serverless architecture using Cloud Run functions (this document) - [Deploying a serverless architecture using Cloud Run](/architecture/blueprints/serverless-blueprint)”
• Cloud Run works with service account From the official documentation: “Map a custom Service Account to a Cloud Run service”
• Cloud Run functions is part of Cloud Run From the official documentation: “| Cloud Run functions | Standalone functions on Cloud Run. |”
• Cloud Run functions works with Cloud SQL From the official documentation: “[Cloud Run functions](/functions) is an event-driven serverless compute platform that integrates with Cloud SQL.”
• Cloud Run functions depends on Cloud Storage From the official documentation: “Cloud Run functions uses the config in Cloud Storage to determine what actions to take for each stateful MIG.”
• Cloud SQL depends on Cloud Storage From the official documentation: “When ingesting data from Cloud SQL, data is first staged to a Cloud Storage bucket.”
• Pub/Sub depends on Cloud Run functions From the official documentation: “After you have set up Cloud Run functions to process model output and generate events, you can set up event notification with Pub/Sub.”
• service account depends on BigQuery From the official documentation: “Each feature view uses a service account to access the source data in BigQuery during sync.”
• service account secures Cloud SQL From the official documentation: “Cloud SQL uses service accounts for authentication between Cloud SQL and other Google Cloud products.”