DRaaS: Disaster Recovery as a Service Explained
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When comparing cloud migration service providers, the fastest proposal is not necessarily the best proposal.
The fastest proposals can be the ones that have compressed or skipped discovery, shifting dependency work into the migration itself. That is not diligence; it is a decision to find the dependencies during the migration instead of before it.
A strong proposal should include:
If a proposal contains none of those, the price is not comparable to one that does, however similar the headline figures look.
There are four, and a provider proposing one approach for the whole estate has not looked at the estate.
Good cloud migration consulting should result in a different approach for different workloads.
| Approach | What happens | Run-cost consequence |
|---|---|---|
| Lift and shift | Workload moves as-is | Often higher. You can inherit on-premise sizing and pay continuously for capacity that may no longer match actual usage. |
| Re-platform | Moved, then adapted to managed services | Lower. Fewer components for you to patch and run |
| Re-architect | Rebuilt for cloud-native patterns | Lowest at scale, highest project cost. Rarely justified for a working line-of-business app |
| Retire or replace | Decommissioned, or moved to SaaS | Best available. Consistently the least investigated |
Retirement deserves particular attention. In many estates, some workloads are unused, duplicated or replaceable, and moving them is pure waste.
Definition: Cloud sprawl. Where a lift-and-shift inherits on-premise sizing, so machines provisioned for a peak that occurs twice a year run at that size continuously and are billed by the hour.
The right cloud migration solutions depend on workload criticality, change tolerance and the economics of the destination.
Migration engagements have a structural incentive problem worth naming: the provider is paid to complete a migration, and run cost afterwards is frequently somebody else’s problem.
| Trap | What it looks like in the proposal |
|---|---|
| Discovery excluded | Fixed price with no assessment phase, or discovery billed later |
| Right-sizing out of scope | Migration complete at cutover, optimisation quoted separately |
| Licensing unexamined | No mention of transferability, surfaces as a change order |
| Knowledge not transferred | No documentation deliverable, so you depend on them afterwards |
| Run cost unowned | Nobody is accountable for the bill after the project closes |
| No rollback | Cutover described without an abort point |
None of these makes a provider dishonest. They make the proposals non-comparable, which is why normalising scope before comparing price matters more than the price itself.
A migration that finishes at cutover has delivered half the outcome. The other half is what it costs and how it behaves in production.
This is where a migration specialist and a managed provider differ. One is optimised to finish; the other has to live with the result.
Our <a href=”/services/managed-hosting-and-cloud/”>Managed Hosting and Cloud</a> covers the operate-and-optimise phase, <a href=”/managed-it-360-services/”>Managed IT 360</a> covers the wider estate the migrated workloads sit within, and <a href=”/security-as-a-service-secaas/”>Security as a Service</a> covers the posture review that should follow any migration.
Normalise before comparing. Two proposals for the same estate routinely cover different scope, and the cheaper one is frequently the smaller one.
The retirement question is the most diagnostic. A provider who has genuinely assessed your estate can name workloads that should not move. One who has not will propose moving everything.
A good cloud migration partner should be able to explain not only what will move, but what should not move.
Client environment: A global energy group, 10,000 employees across 36 countries.
Problem: Inconsistent asset visibility and patch state across a highly distributed estate.
Solution: Asset discovery, patch management and remote software deployment standardised.
Result: Cycle-time reduction on downtime events and consistency across all 36 countries.
This evidences large-estate discovery and standardisation capability, which is the foundation of migration planning. It is not presented as a completed cloud migration engagement.
It is driven by dependency complexity rather than data volume, which is what most people assume. An estate with clean documentation moves far faster than a larger one without it, at the same workload count.
Not automatically, and any provider promising a percentage before seeing your estate is guessing. Cloud makes capacity elastic, and elastic only becomes cheaper if something actively scales it back down. Steady workloads on hardware you already own can sometimes cost more in cloud, depending on utilization, licensing and the full operating cost.
No, and treating that as the goal is expensive. Some workloads are cheaper and simpler where they are, and retiring unused systems is usually the highest-value part of the whole exercise.
Decommissioning should be in the plan, including secure data destruction. It is routinely forgotten, and depending on the environment and applicable requirements, it can also have compliance and data-protection implications.
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