Infrastructure Manager

Related topics

• Infrastructure Manager depends on Cloud Build From the official documentation: “Infra Manager uses Cloud Build to create and update deployments.”
• Cloud Build works with Infrastructure Manager From the official documentation: “This page describes the process to set up [Cloud Build triggers](/build/docs/triggers) to automate deployments of Google Cloud resources using your existing repositories and Infrastructure Manager.”
• Identity and Access Management secures Infrastructure Manager From the official documentation: “Infra Manager uses Identity and Access Management (IAM) for authorization.”
• Cloud Storage bucket works with Infrastructure Manager From the official documentation: “Create or identify an existing Cloud Storage bucket to store the Terraform configuration. You can use any storage bucket, but it's common to use a bucket in the same project where you will run Infra Manager.”
• Infrastructure Manager works with Virtual Private Cloud From the official documentation: “The deployed VPC is now managed by Infra Manager.”
• Cloud Storage bucket is part of Cloud Storage From the official documentation: “Click **Create** to create your Cloud Storage bucket.”
• Cloud Run works with Cloud Storage From the official documentation: “Route Cloud Storage events to 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).”
• Identity and Access Management secures Cloud Storage From the official documentation: “Cloud Storage 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 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 Storage bucket is part of Google Cloud Storage From the official documentation: “The name of your Cloud Storage bucket.”
• Managed Service for Apache Airflow depends on GKE From the official documentation: “Managed Airflow runs your workloads on GKE.”
• 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).”
• 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 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 Cloud Storage bucket From the official documentation: “These modifications to that file define a second backup repository in a Cloud Storage bucket, accessed through Identity and Access Management (IAM).”
• 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).”
• 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.”
• Cloud Build depends on Cloud Storage From the official documentation: “Cloud Build uses Cloud Storage to store build resources.”
• Cloud Build depends on GKE From the official documentation: “To deploy the application in your Kubernetes cluster, Cloud Build needs the Kubernetes Engine Developer [Identity and Access Management Role](/iam/docs/understanding-roles).”
• Cloud Run depends on Cloud Build From the official documentation: “By default, Cloud Run uses the [default machine type provided by Cloud Build](/build/pricing).”
• Cloud Run works with Cloud Storage bucket From the official documentation: “The Cloud Run service can manage objects in the Cloud Storage bucket.”
• Cloud Run works with Dataflow From the official documentation: “Route Dataflow events to Cloud Run”
• Cloud Run works with Virtual Private Cloud From the official documentation: “Send outbound traffic from Cloud Run to a VPC network.”
• Cloud Storage works with GKE From the official documentation: “Route Cloud Storage events to GKE”
• Cloud Storage bucket configures Cloud Storage From the official documentation: “Use the `cloud-storage-bucket` module to create a [Cloud Storage bucket](/storage/docs/buckets).”
• Cloud Storage bucket works with Dataflow From the official documentation: “Begin by creating a Cloud Storage bucket using Google Cloud CLI. This bucket is used as a temporary storage location by the Dataflow pipeline.”
• Cloud Storage bucket works with Managed Service for Apache Airflow From the official documentation: “Every Managed Airflow environment has a Cloud Storage bucket associated with it.”
• Dataflow depends on Cloud Storage bucket From the official documentation: “Create a Cloud Storage bucket by using the gcloud CLI. This bucket is used as a temporary storage location by the Dataflow pipeline.”
• Dataflow works with GKE From the official documentation: “Route Dataflow events to GKE”
• Dataflow depends on Identity and Access Management From the official documentation: “Dataflow uses Identity and Access Management (IAM) for authorization.”
• Dataflow depends on Virtual Private Cloud From the official documentation: “To host the Dataflow pipeline worker VMs, create a Virtual Private Cloud (VPC) network and subnet:”
• Dataflow works with Virtual Private Cloud From the official documentation: “By default, Dataflow launches instances within your default Virtual Private Cloud (VPC) network.”
• GKE depends on Identity and Access Management From the official documentation: “GKE relies on and can be used with many other Google Cloud services, from IAM for access control to Cloud Billing for managing your costs.”
• GKE works with Managed Service for Apache Airflow From the official documentation: “Managed Airflow uses Google Kubernetes Engine service to create, manage and delete environment clusters where Airflow components run.”
• GKE depends on Virtual Private Cloud From the official documentation: “Google Kubernetes Engine (GKE) networking uses and extends the software-defined networking (SDN) infrastructure provided by Virtual Private Cloud (VPC).”
• GKE works with Virtual Private Cloud From the official documentation: “The following example creates a GKE cluster and a Virtual Private Cloud (VPC) network that supports GKE.”
• Google Cloud Storage works with Managed Service for Apache Airflow From the official documentation: “When you create an environment, Managed Airflow creates a [Cloud Storage](/storage) bucket and associates the bucket with your environment.”
• Identity and Access Management secures Cloud Build From the official documentation: “To grant other users access, you can grant Identity and Access Management (IAM) roles on the project, or on a specific Cloud Build resource.”
• Identity and Access Management secures Cloud Run From the official documentation: “Cloud Run services are secured by IAM.”
• Identity and Access Management secures Dataflow From the official documentation: “To control access to Dataflow resources for users, groups, and service accounts in a project or organization, use Identity and Access Management (IAM).”
• Identity and Access Management configures GKE From the official documentation: “First, as you would with most services on Google Cloud, you need to configure [IAM](/iam) roles in order to set up authorization on GKE.”
• Identity and Access Management configures Google Cloud Storage From the official documentation: “Grant permission for the service account to list and view files in the bucket: ```bash gcloud storage buckets add-iam-policy-binding gs://${PROJECT_ID}-bucket/ \ --member=serviceAccount:sa-test-app-team-x@${PROJECT_ID}.iam.gserviceaccount.com \ --role=roles/storage.objectViewer…”
• Identity and Access Management secures Google Cloud Storage From the official documentation: “These modifications to that file define a second backup repository in a Cloud Storage bucket, accessed through Identity and Access Management (IAM).”
• Managed Service for Apache Airflow depends on Cloud Storage bucket From the official documentation: “Every Managed Airflow environment has a Cloud Storage bucket associated with it. Airflow in Managed Airflow schedules only DAGs that are located in the `/dags` folder in this bucket.”
• Managed Service for Apache Airflow depends on Identity and Access Management From the official documentation: “Managed Airflow uses [Identity and Access Management (IAM)](/iam) for access control.”