How to Migrate from DigitalOcean App Platform to Kubernetes Without Rebuilding Your Deployment Pipeline
Blog post from Qovery
Migrating from DigitalOcean App Platform to Kubernetes can preserve existing Git-based development workflows because source triggers, CI tests, container builds, image registries, and rollback practices generally remain unchanged, while only the deployment step must be replaced. The recommended approach is to export the App Platform specification and translate its services, workers, jobs, environment variables, routing, health checks, and scaling settings into Kubernetes resources such as Deployments, Services, Ingresses, Jobs, Secrets, and ConfigMaps, while leaving managed databases outside the cluster. Teams are advised to migrate incrementally by establishing cluster infrastructure, ingress, TLS, secret management, and observability, moving low-risk stateless services first, operating both platforms in parallel, gradually shifting traffic, and migrating workers and scheduled jobs last. Kubernetes introduces operational responsibilities previously managed by App Platform, including certificate renewal, autoscaling configuration, resource sizing, logs and metrics, cluster upgrades, security patching, and preview-environment management. DOKS offers the least disruptive destination for organizations remaining on DigitalOcean, while EKS, GKE, AKS, Scaleway, and self-managed clusters may suit broader cloud or infrastructure requirements. The comparison of tools presents Kustomize and Argo CD as high-control GitOps options, Backstage as a portal requiring complementary deployment tooling, Humanitec and Port as platform-engineering products, and Qovery as a managed internal developer platform intended to retain git-push deployments and pull-request previews on Kubernetes.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| Kubernetes | 45 | 2,610 | 243 | 77 | -40% |
| Platform Engineering | 29 | 908 | 205 | 70 | -46% |
| Secrets Management | 13 | 1,356 | 312 | 102 | -34% |
| MCP | 8 | 5,797 | 566 | 174 | -45% |
| Observability | 4 | 1,557 | 387 | 135 | -43% |
| Developer Experience | 2 | 285 | 150 | 47 | -55% |
| AI Agents | 1 | 3,062 | 780 | 195 | -45% |
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