Artifact Analysis

Related topics

• Artifact Analysis works with Artifact Registry From the official documentation: “Artifact Analysis scans new images when they're uploaded to Artifact Registry.”
• Artifact Analysis works with Binary Authorization From the official documentation: “With Binary Authorization, you may use Artifact Analysis to store attestors and attestations as notes and occurrences, respectively.”
• Artifact Analysis works with Cloud Build From the official documentation: “Cloud Build generates this metadata and Artifact Analysis stores the information if you use Cloud Build to build the image.”
• Artifact Analysis works with VPC Service Controls From the official documentation: “VPC Service Controls provides support for Artifact Analysis.”
• Artifact Analysis secures Artifact Registry From the official documentation: “Turn on Artifact Analysis, which allows for security scanning, for your Artifact Registry repository.”
• Artifact Analysis works with Cloud Storage From the official documentation: “Artifact Analysis stores your SBOMs in Cloud Storage in your Google Cloud project.”
• Artifact Analysis works with Google Cloud Storage From the official documentation: “Artifact Analysis stores SBOMs in Cloud Storage.”
• Artifact Analysis works with Identity and Access Management From the official documentation: “Artifact Analysis uses [Identity and Access Management (IAM)](/iam/docs/overview) to grant granular access to specific resources depending on the task you are going to perform.”
• global endpoint is part of Artifact Analysis From the official documentation: “Artifact Analysis has both global and regional endpoints.”
• Artifact Registry works with Cloud Build From the official documentation: “Builds your container and pushes it to Artifact Registry.”
• Cloud Run works with Cloud Storage From the official documentation: “Route Cloud Storage events to Cloud Run”
• 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.”
• 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”
• Dataflow works with Managed Service for Apache Airflow From the official documentation: “Launch Dataflow pipelines with Cloud Composer”
• 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 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.”
• 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 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.”
• 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.”
• 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.”
• Binary Authorization works with Cloud Build From the official documentation: “Cloud Build, which produces attestations and provenance that Binary Authorization can use for enforcement and monitoring.”
• Binary Authorization works with GKE From the official documentation: “Binary Authorization is disabled on a GKE cluster.”
• Cloud Build works with GKE From the official documentation: “Remove the permission granted to Cloud Build to connect to GKE.”
• Cloud Build works with Google Cloud Storage From the official documentation: “Cloud Build then stores Terraform files and the Terraform State File in a Cloud Storage bucket in your Google Cloud project.”
• Cloud Run works with Google Cloud Storage From the official documentation: “The Cloud Run function will receive syslog messages from FortiEDR via HTTP and write them to GCS.”
• Cloud Run functions depends on Cloud Build From the official documentation: “Cloud Run functions leverages Cloud Build when building and deploying your Cloud Run function.”
• Cloud Run functions works with Google Cloud Storage From the official documentation: “Service account for Dataminr Alerts Cloud Run function to write alert data to GCS”
• 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.”
• Compute Engine works with Google Cloud Storage From the official documentation: “The usage export bucket is a Google Cloud Storage bucket where Compute Engine usage reports are stored.”
• GKE depends on Compute Engine From the official documentation: “For example, GKE deploys clusters on Compute Engine VMs.”
• Managed Service for Apache Airflow depends on GKE From the official documentation: “Managed Airflow runs your workloads on GKE.”
• Managed Service for Apache Airflow works with VPC Service Controls From the official documentation: “When used with Managed Airflow, VPC Service Controls have several [known limitations](/vpc-service-controls/docs/supported-products#composer).”
• 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.”
• Cloud Build works with Managed Service for Apache Airflow From the official documentation: “Cloud Build synchronizes your development Managed Airflow environment with these new changes.”
• 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).”
• Cloud Run functions depends on Cloud Run From the official documentation: “Cloud Run functions (2nd gen) is based on Cloud Run and has a limit of 100 database connections per instance.”
• Cloud Run functions depends on Cloud Storage From the official documentation: “Cloud Run functions uses the config in Cloud Storage to determine what actions to take for each stateful MIG.”
• Dataflow depends on Cloud Storage From the official documentation: “Begin by creating a Cloud Storage bucket using the Google Cloud console or Google Cloud CLI. The Dataflow pipeline uses this bucket as a temporary storage location.”
• Dataflow depends on Compute Engine From the official documentation: “When you run your pipeline on the Dataflow service, Dataflow creates Compute Engine instances to run your pipeline code.”
• Dataflow depends on Google Cloud Storage From the official documentation: “- A gcs bucket for staging DataFlow files. Replace `<BUCKET_NAME>`: the name of a valid Google Cloud Storage bucket.”
• Dataflow works with Google Cloud Storage From the official documentation: “Data is transferred between Spanner and Cloud Storage using Dataflow.”
• Identity and Access Management secures Compute Engine From the official documentation: “Compute Engine uses Identity and Access Management (IAM) for authorization.”
• Identity and Access Management secures Managed Service for Apache Airflow From the official documentation: “For access control, use Identity and Access Management and Managed Airflow [roles and permissions](/composer/docs/composer-2/access-control#user-account).”
• Identity and Access Management works with VPC Service Controls From the official documentation: “VPC Service Controls perimeters and Identity and Access Management (IAM) roles work together.”
• 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.”
• Managed Service for Apache Airflow depends on Google Cloud Storage From the official documentation: “Managed Airflow uses a [Cloud Storage](/storage) bucket to store DAGs of your Managed Airflow environment.”
• VPC Service Controls secures Binary Authorization From the official documentation: “By adding Binary Authorization to the security perimeter, VPC Service Controls can help protect these resources and services.”
• VPC Service Controls secures Compute Engine From the official documentation: “To further protect your Compute Engine resources, you can protect them using [VPC Service Controls](/vpc-service-controls/docs/overview).”
• VPC Service Controls secures Google Cloud Storage From the official documentation: “Storage Transfer Service supports on-premises transfers to Cloud Storage buckets protected by VPC Service Controls, under the following conditions:”
• 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…”