Terraform + Wasabi Automation

Provision and manage Wasabi cloud storage buckets as part of your infrastructure as code pipeline using Terraform.

What You Can Automate

Provision Wasabi buckets automatically when a new application environment is created via Terraform

Enforce bucket policies and lifecycle rules as code, reviewed through pull requests before applying

Replicate infrastructure cloud storage configurations across multiple Wasabi regions from a single Terraform root module

Terraform Integration with Wasabi Cloud Storage

Combining Terraform with Wasabi gives infrastructure teams a powerful way to manage S3-compatible cloud storage without manual intervention. Wasabi's low-cost, high-performance object storage pairs naturally with Terraform's declarative configuration model, letting you define buckets, access policies, and lifecycle rules as versioned code.

Why Use a Terraform Wasabi Workflow

Managing infrastructure cloud storage manually introduces drift, inconsistency, and security risks. A Terraform Wasabi workflow solves these problems by treating every bucket, permission, and replication rule as a resource in your state file. Changes are planned, reviewed, and applied systematically - the same way you manage compute or networking resources.

• Repeatable deployments: Spin up identical Wasabi environments for dev, staging, and production with a single terraform apply
• State tracking: Terraform records every resource in a state file, so additions, modifications, and deletions are always intentional
• Policy as code: Define IAM-style bucket policies and CORS rules in HCL rather than through the Wasabi console
• Team collaboration: Store state remotely and use workspaces to let multiple engineers work on the same infrastructure safely

Terraform S3 Compatible Provider for Wasabi

Wasabi exposes an S3-compatible API, which means the Terraform S3 compatible provider (hashicorp/aws or community providers) can target Wasabi endpoints directly. You configure the provider with a custom endpoint URL pointing to the appropriate Wasabi region, then declare aws_s3_bucket resources exactly as you would for AWS S3.

provider "aws" {
  region                      = "us-east-1"
  access_key                  = var.wasabi_access_key
  secret_key                  = var.wasabi_secret_key
  skip_credentials_validation = true
  skip_requesting_account_id  = true
  endpoints {
    s3 = "https://s3.wasabisys.com"
  }
}

This approach means no custom provider is required for most use cases - your existing Terraform modules work with Wasabi out of the box.

Automating Infrastructure Cloud Storage at Scale

Neotask connects your Terraform and Wasabi workflows so your team can trigger plans, review outputs, and apply changes without leaving your existing tools. Automate storage provisioning as part of CI/CD pipelines, enforce tagging standards across all buckets, and receive alerts when state drift is detected.

• Centralize bucket creation across multiple Wasabi regions
• Enforce consistent naming conventions and access policies
• Integrate with Git-based review workflows before any apply runs

Pro Tips

Tip

Eliminate manual Wasabi console work by managing all storage resources through Terraform configuration files

Tip

Reduce cost and configuration drift by tracking every bucket and policy change in Terraform state

Tip

Accelerate team workflows by integrating Terraform Wasabi automation into existing CI/CD and approval pipelines

Start automating Terraform + Wasabi

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Plans

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• Terraform
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