Automating AWS Data Protection with Terraform and Clumio

Key Takeaways

• Managing backup and recovery as Infrastructure as Code (IaC) helps reduce configuration drift and align data protection with modern cloud deployment practices.
• The Clumio Terraform provider helps enable AWS accounts, policies, and protection rules to be defined declaratively and version-controlled.
• Tag-based protection is designed to automatically protect existing and future resources, helping reduce manual intervention and scale efficiently across environments.
• Defining backup policies in Terraform helps improve visibility, reproducibility, and governance through standard pull request workflows.
• This approach can be especially valuable for multi-account AWS environments and organizations already standardized on Terraform.

Cloud infrastructure is increasingly defined as code. EC2 instances, identity and access management (IAM) roles, virtual private clouds, and databases now live in version-controlled repositories and are deployed predictably through IaC.

However, backup and recovery policies often are still configured manually in web consoles. That gap creates risk. When infrastructure is declarative but data protection is not, teams risk:

• Configuration drift.
• Inconsistent protection across accounts.
• Manual errors.
• Limited visibility into what is actually protected.

For organizations already using Terraform, backup and recovery should be managed the same way as the rest of the stack – through code.

Clumio’s Terraform provider enables AWS data protection to be defined declaratively alongside infrastructure. You can explore the provider and its documentation here: https://registry.terraform.io/providers/clumio-code/clumio/latest/docs/guides/getting_started.

In this post, we’ll walk through how to automate AWS workload protection using Terraform and Clumio by Commvault – and why that approach scales more effectively for modern cloud teams.

The Problem with Console-Based Backup Configuration

In a traditional setup, protecting AWS resources requires:

• Connecting AWS accounts.
• Configuring protection separately across multiple AWS services.
• Creating backup policies.
• Defining protection rules.
• Manually assigning resources.
• Repeating that process for each account or environment.

Even in well-run environments, this creates:

• Repetitive manual configuration.
• Inconsistent policy application.
• Delayed protection for newly created resources.
• Limited version control.

Terraform already helps solve this problem for infrastructure. The Clumio Terraform provider extends that model to data protection.

From Zero to Protected – Using Four Files

Protecting multiple AWS services can be defined using a small set of Terraform files rather than a sequence of manual UI steps.

The configuration follows a straightforward structure.

1. Define Providers (AWS + Clumio)

The first step is declaring the providers.

Terraform needs to know:

• You’re using AWS.
• You’re using the Clumio provider.

This connects Terraform to both platforms.

The official provider documentation walks through this setup in detail in the Getting Started guide.

2. Connect AWS Accounts to Clumio

Next, the Clumio module establishes the connection between AWS and Clumio. This abstracts away the IAM role configuration required for data protection. Instead of manually configuring roles and permissions, the module handles the integration in a repeatable way.

The provider source code is publicly available on GitHub.

This means your integration is defined in code, version-controlled and reproducible across environments.

3. Define Backup Policies as Code

Backup policy definition is where IaC shines. In a Terraform-based configuration:

• Different recovery point objectives can be set for different resource types.
• Multiple retention tiers can be defined within the same policy (for example, short-term and long-term retention).
• The same policy can apply automatically based on defined conditions.

Instead of navigating multiple consoles, a single Terraform configuration defines frequency, retention, and resource scope. That policy is reusable and reviewable like any other infrastructure configuration.

4. Tag-Based Automatic Protection

One of the most scalable elements of the approach is tag-based protection. A protection rule can be configured to automatically protect any resource tagged with a specific key/value pair. For example:

created_by = demo_script

This means:

• Existing resources matching the tag are protected.
• Future resources with that tag are automatically included.
• No manual intervention is required.

For S3 specifically, protection groups also use tags to manage hundreds of buckets as a single logical unit, allowing centralized policy changes at scale. This helps reduce configuration drift.

Applying the Configuration

Once defined, Terraform initializes the working directory, previews planned changes, and applies the configuration. Terraform is designed to respect dependencies between resources, creating them in the correct order.

The configuration helps connect AWS accounts, activate policies, enforce protection rules, and protect tagged resources. And critically – the entire protection strategy exists in version-controlled code.

Why This Matters for Cloud Architects

For teams operating with IaC principles, backup configuration should follow the same discipline as infrastructure provisioning.

Defining backup in Terraform provides several practical benefits:

• Version control: Backup policies are defined in code and can be reviewed, versioned, and approved through standard pull request workflows.
• Reproducibility: The same configuration can be deployed consistently across development, staging, and production accounts.
• Reduced dDrift: Terraform configurations can be re-applied to enforce the declared state, helping bring manual or out-of-band changes back in line with the intended configuration.
• Clear visibility: Protection logic is visible in code rather than buried in UI configuration.
• Separation of configuration and interface: Backup posture is defined declaratively, not dependent on console state.

When This Approach Makes Sense

Automating backup with Terraform is particularly useful for:

• Multi-account AWS environments.
• Regulated industries requiring auditable configuration.
• Platform teams managing shared infrastructure.
• Organizations already standardized on Terraform.

If your infrastructure is defined as code, your data protection strategy should be too.

Getting Started

To explore this approach further:

• Review the Clumio Terraform provider documentation.
• Browse the provider source on GitHub.
• Watch the Quick Start demo video above.

You also can evaluate Clumio through the AWS Marketplace.

FAQs

Q: Why should backup policies be managed as code?
A: When infrastructure is defined as code but backup policies are configured manually, gaps and inconsistencies can emerge. Managing backup as code helps align protection with deployment workflows, reduce manual errors, and provide version-controlled visibility into your data protection strategy.

Q: What does the Clumio Terraform provider enable?
A: The Clumio Terraform provider allows AWS data protection resources – such as account connections, backup policies, and protection rules – to be defined declaratively. This helps enable teams to manage backup configurations alongside infrastructure in the same Terraform workflow.

Q: How does tag-based protection improve scalability?
A: Tag-based protection is designed to automatically apply policies to any resource that matches a specified key/value pair. This helps protect existing and future resources without manual assignment, helping make it easier to manage protection at scale across accounts and services.

Q: How does Terraform help reduce configuration drift in backup environments?
A: Terraform maintains a declared state for infrastructure and protection policies. Reapplying configurations helps bring manual or out-of-band changes back in line with the intended state, helping improve consistency across environments.

Q: In what scenarios does automating backup with Terraform make the most sense?
A: This approach is particularly beneficial in multi-account AWS environments, regulated industries requiring auditable configurations, platform teams managing shared services, and organizations already using Terraform as a standard for IaC.

Q: How can teams get started with Terraform-based AWS data protection?
A: Teams can begin by reviewing the Clumio Terraform provider documentation, exploring the provider’s GitHub source code, and watching the Quick Start demo. Evaluating Clumio through the AWS Marketplace is also a practical next step.

Lawrence Chang is Chief Engineering Officer of Clumio and Vir Choksi is Principal Product Marketing Manager at Commvault.

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