Pub/Sub

Related topics

• Cloud Run works with Pub/Sub From the official documentation: “Route Cloud Pub/Sub events to Cloud Run”
• Dataflow works with Pub/Sub From the official documentation: “Pub/Sub notifies Dataflow about the upload.”
• Pub/Sub works with Sensitive Data Protection From the official documentation: “Watch the Pub/Sub topic until the DLP job finishes”
• 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 Run functions works with Pub/Sub From the official documentation: “Use Cloud Run functions to publish messages on Pub/Sub.”
• BigQuery works with Pub/Sub From the official documentation: “createBigQuerySubscription creates a Pub/Sub subscription that exports messages to BigQuery.”
• Cloud Run functions depends on Pub/Sub From the official documentation: “The Pub/Sub message triggers Cloud Run functions.”
• customer-managed encryption keys secures Pub/Sub From the official documentation: “Encrypt Pub/Sub topic with CMEK”
• 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.”
• 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 Scheduler works with Pub/Sub From the official documentation: “Create a Pub/Sub topic to set up as your Cloud Scheduler job target.”
• Cloud Monitoring works with Pub/Sub From the official documentation: “Use Cloud Monitoring and Pub/Sub to set up custom monitoring and alerting policies for exported logs.”
• GKE works with Pub/Sub From the official documentation: “Route Cloud Pub/Sub events to GKE”
• Cloud Deploy depends on Pub/Sub From the official documentation: “Cloud Deploy uses Pub/Sub to publish notifications for two purposes:”
• Cloud Deploy works with Pub/Sub From the official documentation: “Cloud Deploy publishes operational messages to Pub/Sub.”
• Identity and Access Management secures Pub/Sub From the official documentation: “Pub/Sub uses Identity and Access Management (IAM) for authorization.”
• Artifact Registry works with Pub/Sub From the official documentation: “When you activate the Artifact Registry API in a Google Cloud project, Artifact Registry tries to automatically create a Pub/Sub topic with the topic ID `gcr` using Google-owned and Google-managed encryption keys.”
• Cloud Scheduler depends on Pub/Sub From the official documentation: “Cloud Pub/Sub (required for Cloud Scheduler to invoke functions)”
• Google Cloud Storage works with Pub/Sub From the official documentation: “Both Google Managed Service for Apache Kafka and Pub/Sub integrates with various Google Cloud services like Dataflow, BigQuery, Cloud Storage, and more.”
• Google 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.”
• Managed Service for Apache Airflow works with Pub/Sub From the official documentation: “Big data and analytic orchestration often done with [Managed Airflow](/composer/docs), which supports Pub/Sub triggers.”
• 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.”
• BigQuery works with Sensitive Data Protection From the official documentation: “Uses the Data Loss Prevention API to analyze BigQuery data.”
• 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”
• BigQuery works with Dataflow From the official documentation: “Read from BigQuery to Dataflow”
• VPC Service Controls secures BigQuery From the official documentation: “BigQuery data is protected with VPC Service Controls”
• Cloud Logging works with customer-managed encryption keys From the official documentation: “To use Cloud Logging with Customer-managed encryption keys (CMEK), you must complete the steps in the [Enable CMEK for an organization](/logging/docs/routing/managed-encryption#enable) page in the Cloud Logging documentation.”
• 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 Cloud Storage From the official documentation: “Route Cloud Storage events to Cloud Run”
• BigQuery is an alternative to Google Cloud Storage From the official documentation: “The training data can be either a CSV file in Cloud Storage or a table in BigQuery.”
• Cloud Logging works with GKE From the official documentation: “Enable Cloud Logging on GKE Clusters”
• Cloud Run functions works with Cloud Scheduler From the official documentation: “Create a Cloud Scheduler job to trigger the Cloud Run function on a regular schedule.”
• Cloud Run functions works with Cloud Storage From the official documentation: “Set up functions in response to events in Cloud Storage:”
• Compute Engine is an alternative to GKE From the official documentation: “To use TPU7x, you can use Google Kubernetes Engine (GKE) or Compute Engine.”
• BigQuery works with Cloud Run functions From the official documentation: “BigQuery supports external function calls through Cloud Run functions.”
• BigQuery works with Google Cloud Storage From the official documentation: “Load Cloud Storage data into BigQuery”
• Cloud Deploy works with Cloud Run From the official documentation: “Quickstart: Deploy an app to Cloud Run by using Cloud Deploy”
• Cloud Monitoring works with GKE From the official documentation: “Enable Cloud Monitoring on GKE Clusters”
• Cloud Storage works with Dataflow From the official documentation: “Write from Dataflow to Cloud Storage”
• Cloud Storage works with Sensitive Data Protection From the official documentation: “Uses the Data Loss Prevention API to analyze a file on GCS.”
• customer-managed encryption keys secures Cloud Storage From the official documentation: “CMEKs encrypt data at rest in Cloud SQL, Cloud Storage, and within GKE clusters.”
• Dataflow works with Managed Service for Apache Airflow From the official documentation: “Launch Dataflow pipelines with Cloud Composer”
• 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 Storage works with Managed Service for Apache Airflow From the official documentation: “Managed Airflow associates a Cloud Storage bucket with your environment.”
• customer-managed encryption keys secures BigQuery From the official documentation: “You can either create CMEKs manually to protect your BigQuery resources or use Cloud KMS Autokey.”
• 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 customer-managed encryption keys From the official documentation: “Cloud Storage supports CMEK for routing logs.”
• 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).”
• VPC Service Controls secures Cloud Storage From the official documentation: “Storage Transfer Service supports transfers to Cloud Storage buckets protected by VPC Service Controls.”
• Artifact Registry works with Cloud Run From the official documentation: “Cloud Run recommends using Artifact Registry.”
• 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 Monitoring works with Dataflow From the official documentation: “Dataflow is fully integrated with Cloud Monitoring.”
• Cloud Run is an alternative to Cloud Run functions From the official documentation: “To create remote functions, you must [grant required roles](/bigquery/docs/remote-functions#grant_permission_on_function) to Cloud Run functions or Cloud Run.”