The timing problem
Cloud migrations that fail rarely fail because of technical complexity. They fail because the organization wasn't ready — not technically, but operationally. The infrastructure moves; the processes, skills, and governance don't follow.
The result is a cloud environment that costs more than the on-premise system it replaced, is harder to operate, and is maintained by people learning on production.
This is avoidable. Here's a practical framework for assessing readiness before committing.
Signs the timing is right
You have a clear cost case. On-premise hardware is due for refresh, license costs are climbing, or traffic peaks require capacity you can't provision quickly. Cloud economics make sense when your current alternative is capital investment with a 3–5 year horizon.
Your team has someone who understands cloud architecture. Migrating is one problem. Owning a cloud environment after migration is a different one. If nobody on your team has hands-on AWS, GCP, or Azure experience, budget for training or a managed service before you start — not as an afterthought.
The application can tolerate a migration window. Not every workload can migrate without downtime. If yours can't, you need a specific zero-downtime strategy — blue-green deployment, active-active, or phased cutover — designed before you start, not improvised during the project.
You've documented what you're migrating. Servers, dependencies, data volumes, backup requirements, compliance constraints. Companies that skip this discover new dependencies every week of the project.
Signs the timing is wrong
You're migrating because a vendor told you to. "Cloud-first" is a valid architecture principle. "Cloud because your ERP vendor pitched it at the renewal meeting" is not a migration strategy. Understand the specific workload benefits before committing budget.
Your current system is in crisis. Migrating a system that's already unstable doubles your risk surface. Stabilize first, migrate second. Using the migration as an opportunity to "fix everything" is how migrations become 18-month projects.
You have no runbook for the current environment. If your team doesn't have documented procedures for the on-premise system, they won't spontaneously produce them during a migration. The gap becomes visible — and expensive — after the cutover.
The timeline is under 8 weeks. A realistic timeline for a medium-complexity migration — one primary application, a database, supporting services, and proper testing — is 8–16 weeks. Compressing this significantly increases the probability of a production incident during cutover, and incidents during cutover are the kind that generate post-mortems and executive escalations.
A minimal readiness checklist
Before starting any migration engagement:
- Full infrastructure inventory: servers, services, dependencies, data volumes, backup retention requirements
- Compliance and data residency requirements documented (especially relevant for Argentina: Law 25.326 has data localization implications for sensitive data)
- At least one team member with cloud hands-on experience identified
- Rollback plan is possible — if the cutover fails, what's the recovery path and how long does it take?
- Stakeholders have agreed on acceptable downtime window during cutover
- Cost model includes post-migration operations, not just migration effort (cloud cost management is a skill)
The question worth asking before starting
If the migration succeeds technically but your team can't operate the result independently in 90 days, was it a success?
The answer to that question determines whether you need a migration project or a migration project plus a capability-building program. Both are valid — but conflating them creates unrealistic timelines and unhappy stakeholders.
Evaluating a migration and want to pressure-test your readiness? We're available for a scoping conversation.