Artifact Registry

Related topics

• Artifact Registry works with Cloud Build From the official documentation: “Builds your container and pushes it to Artifact Registry.”
• Artifact Analysis works with Artifact Registry From the official documentation: “Artifact Analysis scans new images when they're uploaded to Artifact Registry.”
• Artifact Registry works with Cloud Run From the official documentation: “Cloud Run recommends using Artifact Registry.”
• customer-managed encryption keys secures Artifact Registry From the official documentation: “Artifact Registry also supports [organization policy constraints](/artifact-registry/docs/cmek#org-policy) that can require CMEK to protect resources.”
• 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:”
• Artifact Registry works with Managed Service for Apache Airflow From the official documentation: “Don't modify or delete the images built by Managed Airflow in Artifact Registry or the repository itself.”
• Artifact Registry works with Private Google Access From the official documentation: “Clusters are automatically configured with [Private Google Access](/vpc/docs/private-google-access), which, for example, permits clusters to pull images from Artifact Registry.”
• 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.”
• Managed Service for Apache Airflow depends on Artifact Registry From the official documentation: “Managed Airflow uses Artifact Registry service to manage container image repositories used by Managed Airflow environments.”
• Artifact Analysis secures Artifact Registry From the official documentation: “Turn on Artifact Analysis, which allows for security scanning, for your Artifact Registry repository.”
• Artifact Registry works with Cloud Logging From the official documentation: “Artifact Registry sends the following types of audit log data to Cloud Logging:”
• Artifact Registry secures Cloud Run From the official documentation: “You can use Artifact Registry together with other Google Cloud products and features to improve the security posture of developer workflows and tools, software dependencies, CI/CD systems used to build and deploy your software, and runtime environments such as Google Kubernetes…”
• Artifact Registry depends on Cloud Storage From the official documentation: “The registry service hosts your custom images in Cloud Storage under your Google Cloud project.”
• Artifact Registry works with Cloud Storage From the official documentation: “| Artifact Registry | Stored in Cloud Storage, for each data chunk | |”
• Artifact Registry is an alternative to Cloud Storage From the official documentation: “Re-upload the template or definition to Artifact Registry or Cloud Storage.”
• Artifact Registry works with Dataflow From the official documentation: “To use Artifact Registry with Dataflow, you must grant at least [Artifact Registry Writer access](/artifact-registry/docs/access-control#permissions) (`role/artifactregistry.writer`) to the [worker service account](#worker-service-account) that runs the Dataflow job.”
• Artifact Registry works with Gemini Enterprise Agent Platform From the official documentation: “Agent Platform supports Gemini Enterprise Agent Platform serverless training with container images on Artifact Registry or Docker Hub.”
• Binary Authorization secures Artifact Registry From the official documentation: “If you're using Artifact Registry to store your artifacts, we recommend that you configure controls to help you secure your artifact repositories, such as access control, data exfiltration prevention, vulnerability scanning, and Binary Authorization.”
• Cloud Run depends on Artifact Registry From the official documentation: “Cloud Run function deployments use Artifact Registry to store artifacts and manage container images.”
• Gemini Enterprise Agent Platform depends on Artifact Registry From the official documentation: “Certain tasks in Agent Platform require that you use additional Google Cloud products besides Agent Platform. For example, in most cases, you must use Cloud Storage and Artifact Registry when you create a custom training pipeline.”
• GKE depends on Artifact Registry From the official documentation: “When you create or update a cluster, GKE pulls container images for the Kubernetes system software running on the control plane and nodes from Artifact Registry repositories in the `pkg.dev` or the `gcr.io` domain.”
• Identity and Access Management secures Artifact Registry From the official documentation: “This page describes access control with Identity and Access Management (IAM) in Artifact Registry.”
• 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.”
• Cloud Run works with Cloud Storage From the official documentation: “Route Cloud Storage events to Cloud Run”
• Managed Service for Apache Spark depends on Private Google Access From the official documentation: “Managed Service for Apache Spark batch workloads and interactive sessions run on VMs with internal IP addresses only and on a regional subnet with [Private Google Access (PGA)](/vpc/docs/configure-private-google-access) enabled automatically on the subnet.”
• 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”
• 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 Google Cloud Storage From the official documentation: “Load Cloud Storage data into BigQuery”
• Binary Authorization secures Cloud Run From the official documentation: “Binary Authorization is a software supply chain security product for GKE and Cloud Run.”
• Cloud Storage works with Dataflow From the official documentation: “Write from Dataflow to Cloud Storage”
• 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”
• 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 Managed Service for Apache Spark From the official documentation: “This means you can quickly read and write BigQuery data to and from Managed Service for Apache Spark.”
• 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 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 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 Gemini Enterprise Agent Platform From the official documentation: “Enable customer-managed encryption keys (CMEK) for the Gemini Enterprise Agent Platform to gain more control over data encryption and key management.”
• VPC Service Controls secures Cloud Storage From the official documentation: “Storage Transfer Service supports transfers to Cloud Storage buckets protected by VPC Service Controls.”
• BigQuery is an alternative to Managed Service for Apache Spark From the official documentation: “Run queries against your federated data using BigQuery or Managed Service for Apache Spark.”
• 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 Storage works with Managed Service for Apache Spark From the official documentation: “Managed Service for Apache Spark accesses these files on Cloud Storage.”
• customer-managed encryption keys secures Managed Service for Apache Airflow From the official documentation: “This page describes how to use [Customer Managed Encryption Keys (CMEK)](/kms/docs/cmek) to protect Managed Airflow environments.”
• Dataflow is an alternative to Managed Service for Apache Spark From the official documentation: “For more complex data loads into your Cloud SQL for PostgreSQL database, consider using Dataflow or Managed Service for Apache Spark, which involves creating an ETL process.”
• 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.”
• VPC Service Controls secures Managed Service for Apache Airflow From the official documentation: “Managed Airflow can be selected as a secured service inside a VPC Service Controls perimeter.”