Multi-cloud is often framed as a strategy choice, but one of the strongest multi-cloud use cases is disaster recovery.

The logic is straightforward. Disaster recovery exists for the scenarios where your primary environment is unavailable or compromised. If production and recovery share the same provider and the same trust boundary, then you still carry concentration risk.

This blog explains why multi-cloud disaster recovery is growing in relevance, why Azure-first organisations may use AWS for recovery, and how disaster recovery becomes a practical starting point for multi-cloud strategy.

Why the conversation has shifted

A few years ago, many organisations treated same-cloud recovery as ‘good enough’. Today, three pressures are changing that:

1. Cyber incidents increasingly target identity and backups
2. Business expectations for continuity have risen
3. Boards and executives are more aware of systemic risk and vendor concentration

The goal is not to abandon Azure. It is to ensure that recovery capability is independent enough to survive the same category of incident.

Concentration risk is a board-level concern

When production and recovery depend on the same provider, a platform-wide event can impact both.

These events may be rare, but the entire purpose of DR is to handle rare, high-impact incidents.

Boards understand this instinctively. If a risk is systemic, mitigation must be systemic. Multi-cloud recovery breaks that dependency.

Multi-cloud DR does not mean you operate two production clouds

A common objection is that multi-cloud adds complexity. That can be true if you run production across multiple providers.

Disaster recovery is different. In many designs:

- Production remains in Azure
- The recovery platform is maintained in a minimal state
- Recovery environments are activated during tests and incidents

This means you can achieve the risk reduction benefits of multi-cloud without running two full production platforms day-to-day.

Why AWS is a natural recovery platform

Azure-first organisations often choose AWS for recovery because it provides:

- A separate identity and access model
- Mature object storage capabilities for immutable backup copies
- Elastic compute that can scale during recovery
- Network segmentation controls that support isolation

The recovery platform does not need to match production. It needs to be independent, reliable, and capable of running recovered workloads.

The value proposition in practical terms

A cross-cloud DR approach delivers three outcomes:

1. Independent recovery
If Azure is unavailable or compromised, you can still restore and run critical services.

2. Stronger ransomware resilience
If the primary identity plane is compromised, the attacker does not automatically control recovery storage and recovery compute.

3. A foundation for multi-cloud strategy
The DR platform becomes an operational entry point into AWS. It creates governance patterns, landing zone capability, and hands-on familiarity.

Disaster recovery as a low-friction multi-cloud entry point

Traditional multi-cloud adoption is often framed as a migration programme. That creates resistance.

Disaster recovery is different. It is use-case led. You build AWS capability for a specific purpose: resilience.

Over time, this can reduce friction for future initiatives such as:

- Workload portability
- Migration waves
- Optimisation and FinOps
- Modernisation

But the first step remains resilience, not migration.

When multi-cloud DR makes sense

Multi-cloud DR is most valuable when:

- Workloads are critical and downtime has a material cost
- There is strong cyber risk exposure
- There are governance requirements to reduce concentration risk
- The organisation wants a gradual path to multi-cloud capability

It is less valuable when:

- Workloads are non-critical and downtime tolerance is high
- The organisation cannot support any additional operational scope

In those cases, same-cloud recovery may be acceptable.

What to do next

A sensible adoption path is:

1. Run a DR readiness assessment

2. Define RPO and RTO per workload

3. Select the right pattern - backup-only, warm standby, or hot DR

4. Build an isolated recovery platform

5. Test regularly and capture evidence