Config Connector

Related topics

• Config Connector works with GKE From the official documentation: “Deploy the manifests to your GKE cluster in order to integrate the application and infrastructure configuration.”
• Config Connector configures Personalized Service Health From the official documentation: “Enable Personalized Service Health for a project using Config Connector”
• BigQuery works with Config Connector From the official documentation: “This section describes how you acquire an existing resource with Config Connector, using a BigQuery resource as an example.”
• Config Connector configures Artifact Registry From the official documentation: “These steps assume that you use Config Connector to manage your Artifact Registry repository.”
• Config Connector configures Cloud Run From the official documentation: “If you deploy your Cloud Run service or job with<br>Config Connector, your volume mounts won't be<br>persisted next time you deploy.”
• Config Connector configures Compute Engine From the official documentation: “Config Connector deploys a running sample Compute Engine instance to your `PROJECT_ID` project.”
• Config Connector works with Secret Manager From the official documentation: “Create and manage Secret Manager secrets with Config Connector using a declarative syntax.”
• 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 BigQuery From the official documentation: “To authenticate to BigQuery, set up Application Default Credentials.”
• Artifact Registry works with Cloud Build From the official documentation: “Builds your container and pushes it to Artifact Registry.”
• 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 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 works with Secret Manager From the official documentation: “To authenticate to Secret Manager, 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.”
• VPC Service Controls secures BigQuery From the official documentation: “BigQuery data is protected with VPC Service Controls”
• 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 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.”
• Cloud Build works with Secret Manager From the official documentation: “You can substitute secrets from [Secret Manager](/secret-manager/docs) in Cloud Build.”
• Application Default Credentials secures 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 is an alternative to GKE From the official documentation: “To use TPU7x, you can use Google Kubernetes Engine (GKE) or Compute Engine.”
• Secret Manager depends on Application Default Credentials From the official documentation: “To authenticate to Secret Manager, set up Application Default Credentials.”
• 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.”
• Cloud Build works with Cloud Run From the official documentation: “Cloud Build - create container images and deploy to Cloud Run.”
• Cloud Build works with Cloud Storage From the official documentation: “Cloud Build then stores Terraform files and the Terraform State File in a Cloud Storage bucket.”
• 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.”
• 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 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).”
• Identity and Access Management secures Secret Manager From the official documentation: “Secret Manager uses Identity and Access Management (IAM) for authorization.”
• VPC Service Controls secures Cloud Storage From the official documentation: “Storage Transfer Service supports transfers to Cloud Storage buckets protected by VPC Service Controls.”
• 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.”
• Artifact Registry works with Cloud Run From the official documentation: “Cloud Run recommends using Artifact Registry.”
• 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.”
• Identity and Access Management secures BigQuery From the official documentation: “Access to BigQuery data from AlloyDB is managed through IAM.”
• Identity and Access Management secures Cloud Storage From the official documentation: “Cloud Storage uses Identity and Access Management (IAM) for authorization.”
• Application Default Credentials secures Secret Manager From the official documentation: “To authenticate to Secret Manager, set up Application Default Credentials.”
• Artifact Registry works with Compute Engine From the official documentation: “Compute Engine can pull containers directly from Artifact Registry repositories.”
• Artifact Registry works with GKE From the official documentation: “In the next tutorial, you deploy those images from the Artifact Registry repository to a GKE cluster:”
• BigQuery depends on Cloud Logging From the official documentation: “BigQuery utilizes Cloud Logging for some of your log data.”
• BigQuery works with Identity and Access Management From the official documentation: “BigQuery uses Identity and Access Management (IAM) for authorization.”
• Cloud Build works with GKE From the official documentation: “Remove the permission granted to Cloud Build to connect to GKE.”
• Cloud Logging works with Compute Engine From the official documentation: “Compute Engine sends you Cloud Logging events for scheduled, started, or completed maintenance.”
• Cloud Storage works with Compute Engine From the official documentation: “You can use a web browser, the Google Cloud CLI, or a programming language to transfer files between Cloud Storage and Compute Engine VMs.”
• GKE depends on Compute Engine From the official documentation: “For example, GKE deploys clusters on Compute Engine VMs.”
• VPC Service Controls secures Artifact Registry From the official documentation: “If your VPC Service Controls settings are blocking access to Artifact Registry, you must add the Artifact Registry service to the service perimeter of your VPC Service Controls.”
• Application Default Credentials works with GKE From the official documentation: “To authenticate to GKE, 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.”
• Cloud Logging works with Cloud Run From the official documentation: “Cloud Logging captures, stores, and analyzes Cloud Run logs.”
• Cloud Run works with GKE From the official documentation: “Leverage Google Kubernetes Engine (GKE) and Cloud Run to deploy applications to the Google Cloud, optimizing costs, performance, and management overhead.”
• Cloud Run works with Identity and Access Management From the official documentation: “Cloud Run also offers the ability to control access to a service with Identity and Access Management (IAM).”
• Identity and Access Management depends on Application Default Credentials From the official documentation: “To authenticate to IAM, set up Application Default Credentials.”
• Identity and Access Management secures Compute Engine From the official documentation: “Compute Engine uses Identity and Access Management (IAM) for authorization.”