Hyperscaler to Hyperscaler: The 4 Tool Categories That Cut Re-Architecture Out of a Cloud Migration

Cloud-to-cloud migration between AWS, Google Cloud, Azure, Scaleway, and other providers generally requires a combination of four tool categories rather than a single end-to-end product: VM and workload movers for rehosting servers, code and database converters for schemas and legacy applications, infrastructure-as-code control planes for rebuilding target environments, and Kubernetes-native platforms for standardizing application deployment workflows. The most difficult and costly work typically involves proprietary managed services, stateful data, identity, and networking, since no tool automatically translates services such as DynamoDB, Cloud Spanner, Lambda, EventBridge, or cloud-specific IAM into equivalent offerings elsewhere. The text argues that containerized applications running on Kubernetes can reduce re-architecture because managed Kubernetes services share a common upstream API, although storage, ingress, identity bindings, autoscaling, and observability still vary by cloud. It recommends assessing dependencies per workload, selecting rehost, replatform, refactor, or other approaches individually, establishing target-cloud infrastructure and deployment processes before moving workloads, migrating stateless services before data, rehearsing cutovers and rollbacks, and setting firm decommissioning dates to limit dual-running costs. It positions Qovery as a bring-your-own-cloud Kubernetes application and environment platform that can preserve deployment workflows across providers, while emphasizing that it must be paired with VM movers or data conversion tools for legacy workloads and proprietary architectures.

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