Moving to the cloud is not a technology project — it is a business change programme with technology at its core. The companies that get it right reduce infrastructure costs, improve scalability, and ship features faster. The companies that get it wrong spend more than on-premises and end up with a hybrid mess that is harder to manage than what they started with.

This guide covers the strategy decisions that determine which outcome you get.

Start with the business case, not the technology

Before selecting a cloud provider or migration tool, answer these questions: What is wrong with your current infrastructure? What does cloud enable that you cannot do today? How will you measure success? And what is the realistic total cost of ownership, including migration, re-architecture, training, and ongoing operations?

Most mid-size businesses migrate for one of four reasons: data centre lease expiry, inability to scale for peak demand, desire to modernise application architecture, or a mandate to reduce capital expenditure in favour of operating expenditure.

The 6 Rs framework

Not every application should migrate the same way. The 6 Rs — originally from Gartner, popularised by AWS — give you a decision framework for each workload:

  • Rehost (lift and shift): move the application to cloud VMs with minimal changes. Fastest and cheapest to execute, but you do not get cloud-native benefits like auto-scaling. Good for stable applications that work well and just need to move off ageing hardware.
  • Replatform (lift and optimise): make targeted changes during migration — replace a self-managed database with a managed service, move to containers, adopt managed caching. Moderate effort with meaningful operational improvement.
  • Refactor (re-architect): redesign the application to be cloud-native — microservices, serverless functions, event-driven architecture. Highest effort but highest long-term value. Only justified for applications that are strategic and will evolve significantly.
  • Repurchase: replace the application with a SaaS product. Often the right answer for commodity functions like CRM, HR, or email.
  • Retire: decommission applications nobody actually uses. Every portfolio audit finds these.
  • Retain: keep on-premises for now, usually due to compliance, latency, or cost reasons. Not every workload belongs in the cloud.

Application assessment and prioritisation

Catalogue every application, its dependencies, its data sensitivity, its business criticality, and its technical suitability for cloud. Then group them into migration waves.

Start with low-risk, low-complexity applications. Your first wave builds the team's cloud competence, establishes your landing zone (networking, security, monitoring), and delivers quick wins. Move business-critical and complex applications later, when the team is experienced.

Cost modelling

Cloud pricing is usage-based and variable. Model your costs for realistic usage patterns, not just list prices. Include compute, storage, networking (egress charges are routinely underestimated), managed services, support plans, and the migration effort itself.

Compare against a realistic on-premises cost that includes hardware refresh cycles, power and cooling, data centre lease, staff time, and the opportunity cost of engineers maintaining infrastructure instead of building product.

Security and compliance

Cloud can be more secure than on-premises — but only if you configure it correctly. The most common cloud security failures are misconfigurations: public S3 buckets, overly permissive IAM roles, unencrypted databases, and security groups that allow access from anywhere.

Establish your security baseline before migrating anything: identity and access management policies, encryption standards (at rest and in transit), network segmentation, logging and monitoring, and incident response procedures.

The migration itself

For each wave: set up the target environment, migrate data, deploy the application, test thoroughly in the cloud environment, then cut over from the old system. Keep the old environment running in parallel until you have confirmed the cloud version is stable.

Database migration deserves special attention. Data volume, schema differences, and the need for zero-downtime cutover make database migration the riskiest step in most projects. Plan it carefully, rehearse it, and always have a rollback path.

Common mistakes

  • Lifting and shifting everything. Some applications should be replaced, retired, or refactored — rehosting a poorly architected application just moves the problem to a more expensive location.
  • Ignoring egress costs. Data transfer out of cloud providers is not free. If your application moves large volumes of data to on-premises or to other clouds, this can materially affect your cost model.
  • Underestimating the skills gap. Cloud operations require different skills than managing physical servers. Invest in training before the migration, not after.
  • No governance. Without spend alerts, tagging policies, and resource lifecycle management, cloud costs grow unchecked. Set these up from day one.

Sologenx helps mid-size businesses plan and execute cloud migrations with realistic cost models and proven methodology. If you are considering a move to AWS, Azure, or GCP, book a free consultation and we will assess your readiness and outline a migration approach.