Moving to the cloud is not a weekend project. It is a structured process that, done right, reduces infrastructure costs, improves reliability, and gives your team flexibility they never had with on-premises hardware. Done poorly, it creates a tangled mess that costs more than what you started with.
Here is the process we use at AmriTech for mid-size business migrations.
Phase 1: Assessment
Before touching anything, document what you have. Every server, every application, every database, every integration point. You cannot migrate what you do not inventory.
Key questions to answer:
- Which workloads are business-critical versus nice-to-have?
- What are the dependencies between systems? (The file server that feeds the ERP that feeds the reporting dashboard.)
- What compliance requirements constrain where data can live?
- What is your current monthly infrastructure spend, fully loaded?
This phase typically takes 1-2 weeks for a 50-person organization.
Phase 2: Choosing the right provider and model
Not every workload belongs in the same place. The three common models:
IaaS (Infrastructure as a Service) -- virtual machines in the cloud. Best for lift-and-shift of legacy applications that cannot be easily re-architected. Azure and AWS dominate here.
PaaS (Platform as a Service) -- managed databases, app services, container orchestration. Best for modern applications where you want to stop managing OS patches and focus on code.
SaaS (Software as a Service) -- fully managed applications. If a SaaS product does what your custom-built tool does, strongly consider switching. Maintaining custom software has a compounding cost.
Most businesses end up with a mix. The file server becomes SharePoint Online (SaaS), the web application moves to Azure App Service (PaaS), and the legacy ERP runs on a cloud VM (IaaS) until it can be replaced.
Phase 3: Migration execution
Migrate in waves, not all at once. Start with low-risk workloads -- a development environment, a secondary file share, an internal tool. Prove the process before touching production.
For each wave:
- Provision the target environment
- Replicate data (use native tools like Azure Migrate or AWS DMS)
- Test thoroughly in the new environment
- Cut over during a maintenance window
- Monitor for 48 hours before decommissioning the source
Phase 4: Optimization
The first month's cloud bill is never the final number. Right-sizing VMs, setting up auto-scaling, reserved instances for steady-state workloads, and storage tiering (hot/cool/archive) typically reduce costs 20-40% from the initial migration configuration.
Set up cost alerts from day one. Cloud spending can drift silently if nobody is watching.
Common mistakes
- Migrating without re-architecting. Lifting a poorly designed on-premises system into the cloud gives you a poorly designed cloud system -- at a higher price.
- Ignoring networking. Latency between cloud regions and your office matters. Plan your connectivity (VPN, ExpressRoute, Direct Connect) before migration, not after users complain.
- Skipping the training. Your team needs to understand the new environment. Budget time for cloud operations training alongside the migration itself.
Cloud migration is a means to an end: a more resilient, flexible, cost-effective infrastructure. Keep that end goal in focus, and the process becomes a series of manageable decisions rather than an overwhelming leap.