Begin with requirements
There is no universally best cloud for every business. Start with the application, data, location, availability and recovery requirements. List operating systems, databases, identity systems, network connections and existing software agreements. Ask the team who will operate the platform after migration.
Use a short list of representative workloads rather than comparing hundreds of product names. A regulated data system, a web application and a batch analytics job can have different constraints and priorities.
Compare the operating model
Evaluate identity integration, network design, logging, backup, incident response and deployment automation. Check service availability in the required Regions and the provider's current documentation. A managed service can reduce some operational work while leaving the customer responsible for application configuration, data and access.
Estimate cost using the same assumptions for each option: compute usage, storage, requests, network transfer, support and recovery environment. Published prices and agreements change, so validate estimates with current provider calculators and actual measurements. Do not treat a promotional price as the full operating cost.
Run a small proof of concept
Deploy one representative user journey with realistic data boundaries. Measure deployment effort, performance, observability and a restore exercise. Test access for operators and document the skills needed to support it. Record tradeoffs and a migration or exit path before committing.
Review the decision when workload needs or contractual terms change. A multi-cloud design can be justified, but it adds integration and operational complexity that should be measured rather than assumed away.
Further reading
Read the official documentation. For help applying these checks, explore Clouvenix services.