Commvault: Eliminate Terraform Drift with Clumio Backtrack for AWS

Name: Commvault: Eliminate Terraform Drift with Clumio Backtrack for AWS
Uploaded: 2026-08-25T09:55:39-04:00
Duration: 3 min 23 s
Description: Discover how Clumio Backtrack with Terraform eliminates infrastructure drift and simplifies data recovery for AWS S3 and DynamoDB. In this demo, see how you can restore data directly into existing resources—without breaking your infrastructure as code....

Commvault

08/25/2026

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Transcript

can lead to drift with infrastructure as code and require extra steps to reconcile with your Terraform state. But what if there was a better way? Here's your production infrastructure, perfectly managed by Terraform. It has an S3 bucket, a DynamoDB table, policies and various other provisioned resources, all protected by Clumio's Terraform provider. Everything appears to be version controlled, automated and consistent. But a restore typically creates new resources. Terraform doesn't know about these. You have to manually import them, update all your application configurations and hope nothing breaks. Your beautiful infrastructure as code is now a mess. This is where Clumio Backtrack simplifies the restore process. Backtrack, configurable via the Clumio Terraform provider, is designed to restore data directly into your existing S3 buckets and DynamoDB tables. This avoids the creation of new resources, helps prevent Terraform drift and maintains a consistent state. Let's look at a real example, an online bookstore. Terraform manages both the DynamoDB table tracking inventory details and the S3 bucket storing book cover images. Clumio protect it all through infrastructure as code. Everything is perfect until... it's not. Book prices are corrupted, inventory data is scrambled and book covers are altered. Black Friday is tomorrow and every minute of downtime is lost revenue. No problem. With Clumio Backtrack for S3, configured by the Clumio Terraform provider, we simply restore images directly back into the same bucket. No updating image URLs in your application, no changes to your Terraform configuration. The recovery is designed to operate at cloud scale, whether it's 10 book covers or 10 million. Same story for DynamoDB. Backtrack restores your data directly into the same table. This can limit the need to create temporary tables, avoid complex ETL processes and reduce updates to your Terraform configuration. And here's the beautiful part. From Terraform's perspective, the environment appears unchanged. The infrastructure is exactly as defined. No drift, no imports, no manual fixes. This is designed to help your infrastructure as code remain the source of truth. And we're back. This is the power of combining Terraform with Clumio Backtrack. Terraform defines and maintains your steady state. And if disaster strikes, Backtrack restores your data while minimizing disruption to your environment. They work together to deliver infrastructure resilience. Ready to see this in your environment?

TL;DR

Clumio Backtrack restores AWS S3 and DynamoDB data directly into existing resources, eliminating Terraform drift and the need for manual state file imports or application configuration updates.
Traditional restore workflows create new cloud resources that Terraform doesn't recognize, requiring manual reconciliation and risking infrastructure-as-code consistency—Backtrack avoids this by targeting existing buckets and tables.
The solution scales from small datasets to millions of objects while maintaining Terraform as the authoritative source of infrastructure truth, demonstrated through an online bookstore recovery scenario.

Summary

This demonstration showcases Clumio Backtrack's approach to AWS data recovery that maintains infrastructure-as-code consistency. Traditional backup restoration workflows create new S3 buckets and DynamoDB tables, forcing DevOps teams to manually import resources into Terraform state files and update application configurations—a process prone to errors and drift. Clumio Backtrack, configurable through the Clumio Terraform provider, restores data directly into existing resources, preserving the declared infrastructure state. The demo uses an online bookstore scenario where corrupted inventory data and altered book cover images must be recovered before Black Friday. By restoring S3 objects and DynamoDB records into their original locations, the solution eliminates the need for application reconfiguration, manual Terraform imports, or state reconciliation. The approach is designed to scale from small datasets to millions of objects while keeping Terraform as the single source of truth for infrastructure definitions.

Chapters

0:00 - The Terraform Drift Problem
0:55 - Introducing Clumio Backtrack
1:19 - Bookstore Recovery Scenario
2:56 - Infrastructure Resilience Summary

Key Quotes

0:37 "But a restore typically creates new resources. Terraform doesn't know about these. You have to manually import them, update all your application configurations and hope nothing breaks."
1:04 "Backtrack, configurable via the Clumio Terraform provider, is designed to restore data directly into your existing S3 buckets and DynamoDB tables. This avoids the creation of new resources, helps prevent Terraform drift and maintains a consistent state."
2:49 "This is designed to help your infrastructure as code remain the source of truth."

FAQ

How does Clumio Backtrack prevent Terraform drift during AWS data recovery?

Backtrack restores data directly into existing S3 buckets and DynamoDB tables rather than creating new resources. Since Terraform sees no infrastructure changes, there's no drift to reconcile and no need for manual state file imports or configuration updates.

Does restoring with Backtrack require application configuration changes?

No. Because data is restored into the same buckets and tables your application already references, there's no need to update bucket names, table references, or connection strings. The application continues working with its existing resource identifiers.

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TL;DR

Summary

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Key Quotes

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