AlloyDB Omni

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• AlloyDB Omni works with Vertex AI From the official documentation: “AlloyDB Omni lets you integrate with Vertex AI to query cloud-based ML models.”
• AlloyDB Omni works with Cloud Storage From the official documentation: “AlloyDB Omni stores backups in Cloud Storage buckets.”
• AlloyDB Omni works with Secret Manager From the official documentation: “AlloyDB Omni uses Secret Manager to store your Elasticsearch API key.”
• AlloyDB for PostgreSQL works with AlloyDB Omni From the official documentation: “This document shows you how to set up data replication for AlloyDB Omni using the `pglogical` extension.”
• AlloyDB Omni works with Google Cloud Storage From the official documentation: “You can store AlloyDB Omni backups locally or remotely in Cloud Storage, including options provided by any cloud vendor.”
• AlloyDB Omni depends on service account From the official documentation: “AlloyDB Omni requires a service account with Google Cloud to authenticate and use Secret Manager.”
• AlloyDB Omni works with Compute Engine From the official documentation: “It also assumes that the target AlloyDB Omni single server is installed on a Compute Engine virtual machine (VM).”
• AlloyDB Omni works with GKE From the official documentation: “Connect to your GKE cluster where you have created the AlloyDB Omni source database cluster:”
• AlloyDB Omni works with Kubernetes From the official documentation: “This page describes how to upgrade to AlloyDB Omni version 16.3.0 on Kubernetes.”
• AlloyDB Omni depends on Secret Manager From the official documentation: “AlloyDB Omni stores and reads your Solr credentials from Secret Manager.”
• AlloyDB Omni depends on Compute Engine From the official documentation: “The automatic authentication style in this example requires an AlloyDB Omni cluster to run on a Compute Engine VM instance.”
• AlloyDB Omni works with Prometheus From the official documentation: “AlloyDB Omni running on Kubernetes also has a set of basic metrics available as Prometheus endpoints.”
• AlloyDB Omni works with Google Kubernetes Engine From the official documentation: “Connect to your GKE cluster where you have created the AlloyDB Omni source database cluster:”
• Kubernetes network policies secures AlloyDB Omni From the official documentation: “**Kubernetes network policies:** define pod-level rules to secure traffic between applications and AlloyDB Omni or `PgBouncer` pods.”
• AlloyDB for PostgreSQL is an alternative to AlloyDB Omni From the official documentation: “As an alternative to running AlloyDB within Google Cloud, Google offers AlloyDB Omni.”
• AlloyDB Omni is part of AlloyDB for PostgreSQL From the official documentation: “#### [AlloyDB Omni](/alloydb/omni/docs) A downloadable edition of AlloyDB for PostgreSQL, designed to run anywhere—in your data center, on your laptop, at the edge, and in any cloud.”
• AlloyDB Omni depends on Vertex AI From the official documentation: “Before you can generate embeddings from an AlloyDB Omni database, you must configure [AlloyDB Omni to work with Vertex AI](/alloydb/omni/containers/current/docs/install-with-alloydb-ai).”
• Application Default Credentials works with Cloud Storage From the official documentation: “To authenticate to Cloud Storage, set up Application Default Credentials.”
• Vertex AI depends on Application Default Credentials From the official documentation: “To authenticate to Vertex AI, 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 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: “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 Vertex AI From the official documentation: “To authenticate to Vertex AI, set up Application Default Credentials.”
• Application Default Credentials works with Secret Manager From the official documentation: “To authenticate to Secret Manager, set up Application Default Credentials.”
• 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.”
• BigQuery works with Cloud SQL From the official documentation: “Add credentials to connect BigQuery to Cloud SQL.”
• Cloud Run works with Cloud SQL From the official documentation: “Learn how to connect to Cloud SQL from Cloud Run”
• Application Default Credentials works with Compute Engine From the official documentation: “To authenticate to Compute Engine, 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.”
• Cloud Storage depends on Application Default Credentials From the official documentation: “To authenticate to Cloud Storage, set up Application Default Credentials.”
• Application Default Credentials works with Google Cloud Storage From the official documentation: “To authenticate to Cloud Storage, set up Application Default Credentials.”
• Cloud SQL works with Cloud Storage From the official documentation: “When ingesting data from Cloud SQL, data is first staged to a Cloud Storage bucket.”
• Cloud SQL works with Vertex AI From the official documentation: “This page describes how to integrate Cloud SQL with [Vertex AI](/vertex-ai/docs).”
• Cloud SQL works with Compute Engine From the official documentation: “Create a Compute Engine VM Instance to host a sample web app that connects to Cloud SQL.”
• Cloud Run works with Cloud Storage From the official documentation: “Route Cloud Storage events to Cloud Run”
• Cloud Run works with Secret Manager From the official documentation: “You can integrate Secret Manager with other Google Cloud products such as Cloud Run.”
• Application Default Credentials secures Compute Engine From the official documentation: “To authenticate to Compute Engine, set up Application Default Credentials.”
• 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.”
• Compute Engine is an alternative to GKE From the official documentation: “To use TPU7x, you can use Google Kubernetes Engine (GKE) or Compute Engine.”
• 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.”
• Secret Manager depends on Application Default Credentials From the official documentation: “To authenticate to Secret Manager, set up Application Default Credentials.”
• BigQuery works with Google Cloud Storage From the official documentation: “Load Cloud Storage data into BigQuery”
• Cloud SQL works with Identity and Access Management From the official documentation: “This page describes how Cloud SQL is integrated with IAM .”
• Compute Engine works with Secret Manager From the official documentation: “To use Secret Manager with workloads running on Compute Engine or GKE, the underlying instance or node must have the `cloud-platform` OAuth scope.”
• 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.”
• Cloud Run depends on Application Default Credentials From the official documentation: “To authenticate to Cloud Run, set up Application Default Credentials.”
• 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 SQL depends on Compute Engine From the official documentation: “Cloud SQL uses Compute Engine virtual machines (VMs) with persistent storage disks.”
• 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.”
• customer-managed encryption keys secures Cloud SQL From the official documentation: “Enable CMEK for Cloud SQL Databases”
• GKE works with Secret Manager From the official documentation: “To use Secret Manager with workloads running on Compute Engine or GKE, the underlying instance or node must have the `cloud-platform` OAuth scope.”
• Cloud SQL works with Secret Manager From the official documentation: “Secret Manager attempts to update the credentials in your Cloud SQL instance.”
• 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).”
• customer-managed encryption keys secures Secret Manager From the official documentation: “In Secret Manager, you can use a CMEK to protect data at rest.”
• Identity and Access Management secures Secret Manager From the official documentation: “Secret Manager uses Identity and Access Management (IAM) for authorization.”
• Application Default Credentials works with Cloud Run From the official documentation: “To authenticate to Cloud Run, set up Application Default Credentials.”
• Application Default Credentials works with Identity and Access Management From the official documentation: “To authenticate to IAM, set up Application Default Credentials.”