Vertex AI

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• Application Default Credentials secures Vertex AI From the official documentation: “To authenticate to Vertex AI, set up Application Default Credentials.”
• Model Armor works with Vertex AI From the official documentation: “The following example enables Model Armor on a Vertex AI endpoint.”
• service account works with Vertex AI From the official documentation: “The service account can interact with Vertex AI services.”
• Vertex AI depends on Application Default Credentials From the official documentation: “To authenticate to Vertex AI, set up Application Default Credentials.”
• Cloud SQL works with Vertex AI From the official documentation: “This page describes how to integrate Cloud SQL with [Vertex AI](/vertex-ai/docs).”
• BigQuery works with Vertex AI From the official documentation: “The page provides guidance for getting predictions from Vertex AI, based on retail [data exported into BigQuery](/retail/docs/export-data-into-bq).”
• Model Armor secures Vertex AI From the official documentation: “The following example enables Model Armor on a Vertex AI endpoint.”
• Vertex AI depends on service account From the official documentation: “To use the Google Vertex AI model endpoints, you must add Vertex AI permissions to the service account that you used while installing AlloyDB Omni.”
• Application Default Credentials works with Vertex AI From the official documentation: “To authenticate to Vertex AI, set up Application Default Credentials.”
• Application Default Credentials configures Vertex AI From the official documentation: “To authenticate to Vertex AI, set up Application Default Credentials.”
• Authentication works with Vertex AI From the official documentation: “The Vertex AI models use the service account used to install AlloyDB Omni to authenticate, while other providers can use the Secret Manager or pass authentication details through headers.”
• Authentication configures Vertex AI From the official documentation: “For Vertex AI models, the AlloyDB service account is used for authentication.”
• Cloud Run works with Vertex AI From the official documentation: “The Cloud Run service can interact with Vertex AI services.”
• Cloud Storage works with Vertex AI From the official documentation: “Access Cloud Storage content through your current project's Vertex AI service agent.”
• Dataflow works with Vertex AI From the official documentation: “Vertex AI models are subject to [Rate Limits and Quotas](https://cloud.google.com/vertex-ai/generative-ai/docs/quotas#view-the-quotas-by-region-and-by-model) and Dataflow automatically retries throttled requests with exponential backoff.”
• discovery service works with Vertex AI From the official documentation: “This page describes Sensitive Data Protection discovery for use with Vertex AI.”
• GKE is an alternative to Vertex AI From the official documentation: “Once you have your fine-tuned model, you can deploy it to a serving endpoint using Google Kubernetes Engine (GKE) or Vertex AI to make it accessible for inference.”
• Vertex AI is part of Gemini Enterprise Agent Platform From the official documentation: “Vertex AI's services are now part of Gemini Enterprise Agent Platform.”
• 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”
• Application Default Credentials secures BigQuery From the official documentation: “To authenticate to BigQuery, set up Application Default Credentials.”
• 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.”
• BigQuery works with Sensitive Data Protection From the official documentation: “Uses the Data Loss Prevention API to analyze BigQuery data.”
• 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.”
• Application Default Credentials works with Pub/Sub From the official documentation: “To authenticate to Pub/Sub, set up Application Default Credentials.”
• 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 Pub/Sub From the official documentation: “Pub/Sub notifies Dataflow about the upload.”
• Application Default Credentials works with Cloud Storage From the official documentation: “To authenticate to Cloud Storage, set up Application Default Credentials.”
• Application Default Credentials secures Pub/Sub From the official documentation: “To authenticate to Pub/Sub, set up Application Default Credentials.”
• BigQuery works with Dataflow From the official documentation: “Read from BigQuery to Dataflow”
• 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 works with BigQuery From the official documentation: “Create a BigQuery client using 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 Dataflow From the official documentation: “Write from Dataflow to Cloud Storage”
• 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 Cloud Storage From the official documentation: “To authenticate to Cloud Storage, set up Application Default Credentials.”
• Application Default Credentials works with Compute Engine From the official documentation: “To authenticate to Compute Engine, set up Application Default Credentials.”
• Cloud Logging works with GKE From the official documentation: “Enable Cloud Logging on GKE Clusters”
• 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.”
• Customer-Managed Encryption Keys secures Cloud SQL From the official documentation: “Enable CMEK for Cloud SQL Databases”
• Pub/Sub works with Sensitive Data Protection From the official documentation: “Inspect Datastore, using Pub/Sub for job status notifications.”
• BigQuery depends on Application Default Credentials From the official documentation: “To authenticate to BigQuery, set up Application Default Credentials.”
• Cloud Run works with Cloud SQL From the official documentation: “Connecting from Cloud Run (fully managed) to Cloud SQL”
• Cloud SQL works with Compute Engine From the official documentation: “Cloud SQL uses Compute Engine virtual machines (VMs) with persistent storage disks.”
• Cloud Storage works with Sensitive Data Protection From the official documentation: “Uses the Data Loss Prevention API to analyze a file on GCS.”
• Compute Engine is an alternative to GKE From the official documentation: “You can also deploy a third-party model to either Vertex AI Model Garden or self-host on GKE or Compute Engine.”
• Model Armor works with Sensitive Data Protection From the official documentation: “Sensitive Data Protection and Model Armor work together in Gemini Enterprise to provide a layered security defense for your data.”
• Application Default Credentials secures Compute Engine From the official documentation: “To authenticate to Compute Engine, set up Application Default Credentials.”
• Application Default Credentials secures Dataflow From the official documentation: “To authenticate to Dataflow, set up Application Default Credentials.”
• BigQuery works with Gemini Enterprise Agent Platform From the official documentation: “The BigQuery dataset stores all versions for the associated Gemini Enterprise Agent Platform dataset.”
• 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 SQL works with 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 Customer-Managed Encryption Keys From the official documentation: “Cloud Storage supports CMEK for routing logs.”
• 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 Dataflow From the official documentation: “To authenticate to Dataflow, set up Application Default Credentials.”
• Application Default Credentials works with Sensitive Data Protection From the official documentation: “To authenticate to Sensitive Data Protection, set up Application Default Credentials.”