Cloud Migration Projects: The Nearshore Team Advantage

Key Takeaways

• A nearshore pod supporting one MSP's hybrid AWS and on-prem environment took retention from near 40 percent annual attrition to 95 percent, while SLA adherence rose 65 percent in the same engagement.

• Support costs dropped roughly 40 percent compared with the client's prior US-based model, with no reduction in coverage.

• Flexera's 2026 State of the Cloud Report names application dependency mapping as the single biggest barrier to cloud migration, ahead of technical feasibility and cost comparison.

• AWS's own Cloud Adoption Framework scores readiness across six dimensions, and "people" is one of them, on equal footing with platform and security.

• Publicly reported voluntary attrition at large offshore delivery firms like EPAM and Globant runs 11 to 15 percent a year, well under the near 40 percent one MSP was absorbing before it changed its staffing model.

What does everyone believe about cloud migration risk?

Most migration planning assumes the danger sits in the technical plan: dependency mapping, legacy compatibility, security posture, cutover sequencing. That assumption isn't wrong. Flexera's newest cloud report backs it up directly, naming application dependencies as the top barrier organizations report when they move workloads, ahead of both technical feasibility and cost.

So teams build runbooks. They draft RACI charts. They rehearse the cutover twice, sometimes three times, before touching production. All of that is correct practice, and skipping it is how migrations fail in the ways everyone already expects.

But there's a second failure mode that rarely makes the pre-migration checklist, and it's the one that actually derails the timeline once the project is underway.

Why does that model miss the thing that actually stalls a migration?

Because the dependency map lives in a person's head before it lives in a document, and migrations are exactly the kind of project that burns that person out.

Consider what an IDP client, an IT managed service provider, was dealing with before restructuring its support model. Its in-house infrastructure team was covering a hybrid AWS and on-prem environment and running near 40 percent annual attrition. Every time an engineer left, institutional knowledge went with them. That's expensive in steady-state support. In a migration, where step 40 of the runbook depends on a decision someone made in week three, it's often the difference between hitting the go-live date and quietly slipping it a quarter.

AWS doesn't treat this as an afterthought. Its Cloud Adoption Framework scores readiness across six dimensions: business, process, people, platform, operations, and security. People sits as its own category, not a subheading under platform. The framework exists because AWS has watched enough enterprise migrations to know that staffing continuity predicts outcomes almost as well as the architecture diagram does.