---
title: "Multi-Cloud Recovery That Actually Works | Blog | Commvault"
type: "BlogPosting"
language: "en"
url: "https://www.commvault.com/blogs/multi-cloud-recovery-that-actually-works"
date: "2026-04-24T09:00:26-04:00"
modified: "2026-04-23T16:59:03-04:00"
description: "Multi-cloud adoption isn’t slowing down. But unless recovery strategies evolve alongside architecture, complexity will outpace preparedness."
image: "https://www.commvault.com/wp-content/uploads/2026/04/Thumbnail_Blog-Multicloud-Recovery-2026.png"
authors:
  - name: "Chris Mierzwa"
    jobTitle: "Senior Director, Portfolio Marketing, Commvault"
breadcrumbs:
  - name: "Commvault Home"
    url: "https://www.commvault.com/"
  - name: "Blogs"
    url: "https://www.commvault.com/blogs"
  - name: "Multi cloud recovery that actually works"
---

# Multi-Cloud Recovery That Actually Works

Multi-cloud was supposed to give us flexibility, along with:

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- Best-of-breed services.
- Cloud-native innovation.
- Freedom from vendor lock-in.

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But when a cyber incident hits, that flexibility often becomes complexity.

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In this episode of **STRIVE**, I sat down with Senior Director of Product Management Akshay Joshi – whose career spans IBM, AWS, Microsoft, Clumio, and now Commvault – to unpack one uncomfortable truth: Most organizations think they’re ready for multi-cloud recovery.

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Until they’re not. Watch the [full episode](https://www.readiverse.com/resources/video/strive-building-multi-cloud-recovery-that-actually-works).

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## Key Takeaways: What Multi-Cloud Recovery Really Demands

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- **Backup at the service level doesn’t equal recovery at the application level.** Protecting individual data sources is not the same as restoring a synchronized application ecosystem.
- **Recovery complexity multiplies across clouds.** Different recovery points, different accounts, different admin teams – each adds friction when time matters most.
- **Native hyperscaler tools are necessary – but not sufficient.** They protect within their own cloud but don’t orchestrate across clouds.
- **Isolation is the first domino in a cyber event.** The larger the environment’s aperture, the harder it is to contain impact.
- **Resilience must be designed in – not retrofitted later.** Dependency mapping and recovery planning should begin at application design, not after deployment.
- **AI-enabled automation adds power – and new risk.** Agentic workflows require tight permission controls and governance discipline.

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## The Gap Between “On Paper” and Reality

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On paper, recovery seems simple: When do you recover to? What do you recover? Where do you recover it?

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But, as Akshay explains, each of those questions fractures in a multi-cloud world. Different services may have different recovery points. Some microservices may be impacted while others aren’t. Recovery may require re-architecting if restored cross-regionally or cross-account.

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What looks straightforward in documentation becomes deeply complex in execution. And when ransomware hits, teams don’t calmly reference playbooks – they scramble.

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## The First Domino: Isolation

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Each threat vector expands proportionally with environmental complexity. Multi-cloud doesn’t just diversify infrastructure – it expands operational aperture.

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## Service-Level Backup vs. Application-Level Recovery

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Here’s where most organizations get caught.

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They back up:

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- Azure data with Azure Backup
- AWS data with AWS Backup
- Google Cloud data with a separate tool

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Individually, each service may be protected. Collectively, the application may not be recoverable in a synchronized state.

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Native tools don’t communicate across clouds. They aren’t inherently multi-cloud in orchestration. They aren’t tuned to optimize recovery time objective (RTO) or recovery point objective (RPO) at scale for cross-cloud architectures.

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And when recovery depends on aligning multiple data sources across hyperscalers, orchestration becomes the difference between hours and days. This is exactly why unified recovery strategies exist – not to replace hyperscalers, but to coordinate them.

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## Dependency Mapping Isn’t Optional Anymore

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We’ve been talking about application dependency mapping for more than a decade. But in a multi-cloud world, it’s no longer a “nice to have.” Applications now span multiple hyperscalers, multiple DevOps teams, multiple admin domains, and multiple vendor backup tools.

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Fragmented ownership slows recovery. Vendor fragmentation complicates orchestration. Operational silos create delays at the worst possible time. Resilience must be operationalized from the beginning – not bolted on after deployment.

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## Sneak Peek: Why Multi-Cloud Recovery Fails Without Dependency Mapping

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In this moment from the STRIVE conversation, Akshay explains why operationalizing resilience at the architecture stage is critical for surviving real-world cyber events.

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## Designing for Recovery – Not Just Protection

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One of the most powerful points in this episode: Modern applications should be designed not only around performance and scale – but around recoverability. That means:

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- Thinking about RTO as much as RPO.
- Architecting with cross-cloud orchestration in mind.
- Consolidating visibility where possible.
- Reducing vendor and admin fragmentation.
- Testing recovery across environments.

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Recovery speed impacts revenue. Recovery clarity impacts reputation. Downtime impacts customer trust. Multi-cloud innovation must be matched by multi-cloud recovery discipline.

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## The AI and Automation Layer

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No discussion is complete without addressing AI. Agentic workflows are increasingly embedded in enterprise SaaS platforms. But automation introduces new considerations:

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- What permissions do agents have?
- How frequently are backups being triggered?
- What cost implications arise from automation decisions?
- Are agents treated as identities with governed access?

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AI can accelerate resilience – but without guardrails, it also can amplify risk. The key is controlled delegation.

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## Why We Had This Conversation on STRIVE

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STRIVE isn’t about repeating what everyone already knows. It’s about confronting the gaps that surface during real-world cyber events. Multi-cloud adoption isn’t slowing down. But unless recovery strategies evolve alongside architecture, complexity will outpace preparedness.

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That’s why this discussion matters. And that’s why we brought Akshay in – someone who’s operated across hyperscalers and understands both their power and their limitations.

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## Watch the Full Episode

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In the full STRIVE episode, you’ll discover:

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- The real gap between service-level backup and application-level recovery.
- Why isolation is the first domino in ransomware events.
- How vendor fragmentation complicates orchestration.
- What CISOs and DevOps leaders must align on.
- How AI changes the resilience equation.

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[Watch now](https://www.readiverse.com/resources/video/strive-building-multi-cloud-recovery-that-actually-works).

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If you operate across AWS, Azure, or Google Cloud – this conversation is essential.

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## FAQs

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**Q: Why isn’t native hyperscaler backup enough?**

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**A:** Native tools protect data within a specific cloud but don’t orchestrate recovery across clouds. Multi-cloud applications require coordinated restoration across services and providers.

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**Q: What is the biggest gap in multi-cloud recovery?**

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**A:** The disconnect between how backups are made (service-by-service) and how recovery must happen (application-wide).

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**Q: What does “environmental aperture” mean?**

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**A:** It refers to the breadth of accounts, clouds, identities, and services in an environment. As aperture expands, risk and complexity increase proportionally.

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**Q: Why is dependency mapping critical?**

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**A:** Applications now span multiple clouds and teams. Without mapping service dependencies, recovery sequencing becomes guesswork.

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**Q: How does AI impact disaster recovery?**

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**A:** AI-enabled workflows can help automate backup and recovery decisions but require strong access controls, cost governance, and oversight.

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**Q: Where should organizations start improving multi-cloud recovery?**

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**A:** Begin by evaluating:

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- - Application-level recovery alignment.
    - Vendor consolidation opportunities.
    - Cross-team synchronization.
    - Isolation strategy during incidents.
    - Cross-cloud testing frequency.

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[*Chris Mierzwa*](https://www.linkedin.com/in/cmierzwa/) *is Senior Director, Portfolio Marketing, at Commvault.*
