Cloud Migration: Strategies and How Not to Fail

Migrating to the cloud is one of those projects that can turn out beautifully or descend into a nightmare of runaway costs and outages. The difference almost never lies in the technology, but in the planning: in understanding what to migrate, how, and in what order. A migration done well modernizes the company and lowers costs; one done badly simply moves the same old problems onto a more expensive bill. In this article we explain how to approach a migration so that it goes right.

We review the migration strategies (the well-known 6 Rs), the phases of a well-planned project, and the most common mistakes worth avoiding.

The migration strategies (the 6 Rs)

Not every application is migrated the same way. The most widely used framework distinguishes six strategies based on how much each workload is transformed:

• Rehost (lift-and-shift): move it as is, fast but without taking advantage of the cloud.
• Replatform: small tweaks to gain efficiency without rewriting.
• Refactor: redesign the application to truly leverage the cloud.
• Repurchase: switch to an equivalent SaaS solution.
• Retire: shut down what is no longer used (more common than it seems).
• Retain: keep on premises whatever does not yet make sense to migrate.

How to choose the right strategy

The right strategy depends on the value of each application and its technical condition. A critical system with a future ahead of it usually deserves a refactor that modernizes it; one that works but is not strategic can go with a simple rehost; and whatever nobody uses anymore should be retired. The mistake is applying a single strategy to everything: the efficient approach is to analyze the application inventory and assign each one the strategy that maximizes its return.

The phases of a well-planned migration

A serious migration goes through clear phases: discovery and inventory (what you have and how it all connects), assessment (which strategy for each workload), designing the target architecture, a pilot test with non-critical workloads, migration in waves, and finally optimization once you are in the cloud. Migrating in waves, starting with the least risky pieces, lets you learn and correct course before touching the critical systems.

Common mistakes to avoid

The most frequent failures are predictable: doing a lift-and-shift of everything without optimizing (and ending up paying more than before), failing to estimate costs accurately, underestimating the complexity of the dependencies between systems, neglecting security in the configuration, and not training the team. All of them can be avoided with planning and a pilot test that surfaces problems while they are still cheap to fix.

Security and compliance during the migration

One point that is frequently neglected is security during the migration process itself. Moving sensitive data to the cloud requires encrypting it in transit and at rest, reviewing who has access to what, and configuring permissions correctly from day one, since a misconfigured bucket is one of the most common causes of leaks. In addition, depending on the sector, you have to guarantee regulatory compliance (GDPR, data residency) and keep a record of every action for future audits. Building security into the migration plan, rather than treating it as a final review, prevents costly incidents and last-minute delays.

Migrating is also a chance to modernize

A migration should not be just a move: it is the best moment to eliminate what is no longer needed, modernize what adds value, and lay a foundation you can grow on. Using the project to introduce automation, improve observability, and redesign the key workloads turns a mandatory expense into an investment that pays off in agility and efficiency for years to come.

At AxiomTech we plan and execute cloud migrations in waves, choosing the right strategy for each workload and using the project as an opportunity to modernize. If you want to migrate without cost or performance surprises, let's talk and we'll propose the next step.