Google Compute Engine Backend Bucket

This page shows how to write Terraform for Compute Engine Backend Bucket and write them securely.

google_compute_backend_bucket (Terraform)

The Backend Bucket in Compute Engine can be configured in Terraform with the resource name google_compute_backend_bucket. The following sections describe 2 examples of how to use the resource and its parameters.

Example Usage from GitHub

main.tf#L6
resource "google_compute_backend_bucket" "backend_bucket" {
  name = var.backend_bucket_name
  bucket_name = var.bucket_name
  enable_cdn  = true
}

cloud_storage.tf#L6
resource "google_compute_backend_bucket" "image-773-cdn" {
  bucket_name = google_storage_bucket.app_name-bucket.name
  name        = "backend-773-bucket"
  enable_cdn  = true
  description = "Contains 773images"
}

Review your Terraform file for Google best practices

Shisho Cloud, our free checker to make sure your Terraform configuration follows best practices, is available (beta).

Parameters

Cloud Storage bucket name.

Creation timestamp in RFC3339 text format.

An optional textual description of the resource; provided by the client when the resource is created.

If true, enable Cloud CDN for this BackendBucket.

  • id optional computed - string
  • name required - string

Name of the resource. Provided by the client when the resource is created. The name must be 1-63 characters long, and comply with RFC1035. Specifically, the name must be 1-63 characters long and match the regular expression 'a-z?' which means the first character must be a lowercase letter, and all following characters must be a dash, lowercase letter, or digit, except the last character, which cannot be a dash.

  • project optional computed - string
  • self_link optional computed - string
  • cdn_policy list block

    Maximum number of seconds the response to a signed URL request will be considered fresh. After this time period, the response will be revalidated before being served. When serving responses to signed URL requests, Cloud CDN will internally behave as though all responses from this backend had a "Cache-Control: public, max-age=[TTL]" header, regardless of any existing Cache-Control header. The actual headers served in responses will not be altered.

  • timeouts single block

Explanation in Terraform Registry

Backend buckets allow you to use Google Cloud Storage buckets with HTTP(S) load balancing. An HTTP(S) load balancer can direct traffic to specified URLs to a backend bucket rather than a backend service. It can send requests for static content to a Cloud Storage bucket and requests for dynamic content to a virtual machine instance. To get more information about BackendBucket, see:

Tips: Best Practices for The Other Google Compute Engine Resources

In addition to the google_compute_disk, Google Compute Engine has the other resources that should be configured for security reasons. Please check some examples of those resources and precautions.

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google_compute_disk

Ensure the encryption key for your GCE disk is stored securely

It is better to store the encryption key for your GCE disk securely. Secret Manager could be used instead.

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google_compute_firewall

Ensure your VPC firewall blocks unwanted outbound traffic

It is better to block unwanted outbound traffic not to expose resources in the VPC to unwanted attacks.

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google_compute_instance

Ensure appropriate service account is assigned to your GCE instance

It is better to create a custom service account for the instance and assign it.

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google_compute_project_metadata

Ensure OS login for your GCE instances is enabled at project level

It is better to enable OS login for your GCE instances. Enabling OS login ensures that SSH keys used to connect to instances are mapped with IAM users, allowing centralized and automated SSH key management.

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google_compute_ssl_policy

Ensure to use modern TLS protocols

It's better to adopt TLS v1.2+ instead of outdated TLS protocols.

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google_compute_subnetwork

Ensure VPC flow logging is enabled

It is better to enable VPC flow logging. VPC flow logging allows us to audit traffic in your network.

Review your Google Compute Engine settings

In addition to the above, there are other security points you should be aware of making sure that your .tf files are protected in Shisho Cloud.

Frequently asked questions

What is Google Compute Engine Backend Bucket?

Google Compute Engine Backend Bucket is a resource for Compute Engine of Google Cloud Platform. Settings can be wrote in Terraform.

Where can I find the example code for the Google Compute Engine Backend Bucket?

For Terraform, the zealsoftmedicoadmin/nagendra-terraform-ansible and takehanKosuke/go-gin-init source code examples are useful. See the Terraform Example section for further details.

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