Who Actually Specializes in Multi-Cloud Migration Without Freezing Your Deployments?
Blog post from Qovery
Multi-cloud migration offerings are presented as three distinct categories: services firms such as Rackspace Technology, Mission Cloud, Nagarro, Endava, and Bixal for discovery, data movement, compliance, and temporary staffing; infrastructure-provisioning tools such as Crossplane, OpenTofu, and Pulumi for defining resources across clouds; and internal developer platforms such as Qovery, Humanitec, and Backstage with a deployment engine for maintaining a consistent developer workflow. The central argument is that deployment disruption typically results from fragmented pipelines, credentials, environments, and provisioning processes rather than data transfer itself, so teams should establish a self-service deployment interface before migrating workloads and run clouds in parallel with rollback plans. The piece recommends combining a consultancy for one-time migration tasks with a developer platform that the organization continues to operate, while cautioning that provisioning tools and portals alone do not provide a complete deployment workflow. It emphasizes bring-your-own-cloud-account arrangements to preserve cloud billing control, committed-spend discounts, data ownership, and portability, while using ephemeral environments, auto-stop controls, RBAC, and governance to limit costs and operational complexity. It also advises evaluating vendors through a short trial involving a real service deployment, clear responsibility for credentials and cluster upgrades, and explicit exit terms, while acknowledging that specialized services partners remain more suitable for data-center exits, mainframe modernization, federal compliance, and contractual managed operations.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| Kubernetes | 17 | 956 | 75 | 30 | -73% |
| Platform Engineering | 10 | 358 | 65 | 25 | -70% |
| Developer Experience | 3 | 131 | 58 | 24 | -72% |
| AI Agents | 1 | 931 | 231 | 103 | -84% |
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