How to Test Cloud Portability Before You Actually Need to Switch

Cloud portability is presented as a measurable switching cost, defined by the engineering time and operating expense required to run a real workload on a second cloud or Kubernetes target rather than as a binary architectural claim. The proposed approach scores individual services from 0 to 3 across compute, data, networking, identity and secrets, and CI/CD plus infrastructure as code, with the weakest layer determining practical migration difficulty; proprietary data services, data-transfer volumes, undocumented IAM policies, and networking configurations are identified as more significant obstacles than containerized compute. A two-week portability drill is recommended in which teams select a representative production service, codify its environment with Terraform or OpenTofu and Helm, deploy it elsewhere, replay realistic traffic, measure costs over a billing cycle, and publish deployment time, a cost report, and an owned list of breakages. Cost assessment should combine provider list prices, infrastructure-plan estimates, measured post-deployment allocation, and engineering costs such as dual-running systems, migration work, and delayed roadmap activity, while accounting for commonly overlooked items including egress, NAT gateways, cross-zone transfer, load balancing, observability, backups, and idle non-production resources. The discussion distinguishes portability from continuously operating multi-cloud infrastructure, argues for periodic drills as both risk preparation and contract-negotiation leverage, and recommends portable containers, infrastructure as code, open data interfaces where appropriate, and provider-neutral identity patterns; it also positions Qovery as a deployment layer that can preserve a consistent developer workflow across cloud accounts and Kubernetes clusters while requiring separate tools for cost analysis and migration assessment.

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