Cloud Migration Checklist 2026: AWS, Google Cloud, or Alibaba Cloud

Moving workloads to the cloud, or from one cloud to another, is often framed as an infrastructure project. It is really a business decision. The provider you choose, the sequencing of the move, and how you handle downtime windows all affect customer experience, engineering velocity, and cost for years afterward.

Teams that treat migration as “lift and move the servers” tend to underestimate data gravity, dependency mapping, and the operational habits that need to change once workloads land on new infrastructure. A checklist-driven approach catches most of the expensive surprises before they happen in production.

Before picking a target provider or a migration date, get honest answers to a few questions:

• Dependency map: which services, databases, and third-party integrations does each workload actually touch, including the undocumented ones.
• Data gravity: how large are your datasets, what compliance or residency rules apply, and what does egress cost if you ever need to move again.
• Traffic patterns: peak load, regional distribution, and latency-sensitive paths that determine which regions and zones matter.
• Operational maturity: whether your team already works with infrastructure as code, or whether the migration is also the moment you adopt it.

This assessment usually reveals that only part of the estate needs to move on day one, and the rest can follow in a second or third wave.

There is no universally “best” cloud, only the best fit for a given workload, team, and market.

AWS has the broadest managed-service catalog and the deepest enterprise tooling ecosystem, which suits teams that want a wide menu of building blocks and are comfortable navigating a large service surface.

Google Cloud tends to stand out for data analytics, Kubernetes (GKE originated much of the upstream project), and AI/ML tooling, making it a common choice for data-heavy or AI-forward products.

Alibaba Cloud is frequently the pragmatic choice for products that need strong performance and compliance footing across mainland China and broader Asia-Pacific markets, where the other two providers have thinner regional coverage.

Many growing companies end up running a primary cloud with a secondary presence on a second provider for a specific region or workload, rather than a single-provider or fully multi-cloud extreme. The right split depends on where your customers are and which managed services your product actually needs.

The migrations that cause outages almost always skip the same steps:

1. No rollback plan: cutting DNS or traffic over without a tested way to revert if the new environment misbehaves.
2. Big-bang cutovers: moving every service at once instead of migrating in waves behind feature flags or weighted traffic splits.
3. Untested data sync: assuming replication between old and new databases is reliable without verifying consistency under real write load.
4. Skipped load testing: discovering autoscaling limits or connection pool ceilings only after real traffic hits the new environment.
5. Missing observability parity: losing alerting or tracing coverage during the transition window, so problems surface from customers instead of dashboards.

A staged migration, run behind traffic shifting and with a rehearsed rollback, converts a risky weekend cutover into a series of small, reversible steps.

Simple, stateless workloads with modern deployment pipelines can often migrate in weeks. Systems with legacy databases, compliance requirements, or tightly coupled monoliths typically take several months once you include dependency discovery, staged cutover, and a stabilization period.

Budget for the migration itself, plus a temporary period of running duplicate infrastructure on both providers while traffic shifts. Skipping that overlap window to save cost is one of the most common ways migrations turn into incidents.

Innvente plans and executes cloud migrations across AWS, Google Cloud, and Alibaba Cloud, from dependency mapping and provider selection through staged cutover and post-migration cost tuning.

Explore our cloud solutions, see how we approach cost after a move in cloud cost optimization before re-architecting, or book a free software project audit to get a second opinion on your migration plan.