Cloud migration has been "the obvious next step" for over a decade now, which is exactly why so many mid-sized businesses approach it without a real strategy — it feels too well-established to need one. That assumption is where most migration budgets quietly double. Here is a practical, step-by-step approach that avoids the common failure points.
1. Start With a Workload Assessment, Not a Vendor Conversation
The most common mistake in cloud migration is starting with "which cloud provider should we use" before answering a more basic question: which of our current systems actually benefit from moving, and which are better left alone for now? Not every workload should move — legacy systems with no active development, low usage, or upcoming retirement plans are often not worth the migration cost.
Action Point: Categorise every current system into one of three buckets: migrate now, migrate later, retire instead of migrating. Do this before requesting a single vendor quote.
2. Choose a Migration Pattern That Matches Each Workload
- Rehost ("lift and shift") — move the workload as-is to cloud infrastructure. Fastest, lowest risk, but doesn't capture cloud-native cost or performance benefits.
- Replatform — make targeted changes (managed database instead of self-hosted, for example) without a full rebuild. Good middle ground for most mid-sized businesses.
- Refactor — rebuild the application to be cloud-native. Highest effort and cost, reserved for systems where the current architecture is genuinely the bottleneck.
Applying the same pattern to every workload — usually rehosting everything because it's fastest — is how businesses end up in the cloud but still paying legacy-architecture costs indefinitely.
3. Model the Real Cost, Not Just the Sticker Price
Cloud pricing calculators model compute and storage. They rarely model data egress charges, the cost of re-architecting for cloud-native scaling, or the ongoing cost of a new monitoring and DevOps skill set your team may not have yet. Build a three-year total cost of ownership model, not a first-month estimate, before committing.
4. Sequence the Migration by Risk and Dependency, Not by Convenience
- Migrate low-risk, low-dependency systems first to build team confidence and refine your process
- Migrate systems with external dependencies (payment processors, third-party integrations) next, once the process is proven
- Migrate core, high-dependency systems last, with the most rigorous testing and rollback planning
Migrating the most critical system first because "we might as well get the hard part done" is a common and costly instinct — it maximises risk exposure at exactly the point where your team has the least migration experience.
5. Plan the Cutover Like a Rollback, Not Just a Launch
Every migration plan needs an explicit rollback procedure, tested before cutover — not designed after something goes wrong. This includes data synchronisation strategy (how do you keep the old and new systems in sync during a phased cutover), a defined rollback window, and clear ownership of the go/no-go decision.
The migrations that go smoothly aren't the ones with the best cloud architecture. They're the ones with the most boring, well-rehearsed rollback plan that nobody ends up needing.
6. Don't Underestimate the Skills Gap
Cloud-native operations — infrastructure as code, auto-scaling configuration, cloud cost monitoring — is a different skill set from traditional on-premises system administration. Budget for training or hiring alongside the migration itself; a technically successful migration that your team can't operate confidently just moves the operational risk rather than reducing it.
7. Measure Success Against the Business Case You Wrote First
Before migration begins, define the specific metrics that will determine success — cost reduction target, performance improvement target, or reduced time-to-deploy for new features. Revisit these at 90 and 180 days post-migration. Migrations that are declared successful purely because "we're in the cloud now" tend to quietly under-deliver against whatever the original business case actually promised.
Cloud migration is not inherently complex — but it is inherently full of small decisions that compound, and most of the ones that go over budget do so because those decisions were made by default rather than by design.
