How to Move a PaaS App to GKE Without Hiring a DevOps Team

Moving an application from a PaaS such as Heroku, Render, Railway, Fly.io, or App Engine to Google Kubernetes Engine primarily involves replacing the managed services the PaaS provided, including routing, TLS certificates, secrets, databases, migrations, logging, autoscaling, scheduled jobs, static egress, and rollback mechanisms, rather than changing the application container itself. The recommended approach for small teams without Kubernetes specialists is GKE Autopilot, which shifts node provisioning, patching, upgrades, and capacity management to Google, while Cloud SQL, Artifact Registry, Secret Manager, Cloud NAT, Gateway API, and managed observability fill other platform functions. A proposed migration sequence covers configuration inventory, image building, infrastructure provisioning, database migration, workload deployment, traffic setup, parallel operation, and delayed decommissioning, with database cutover identified as the principal irreversible step. A simple web application with PostgreSQL may take one to three weeks to migrate, while more complex systems can require one to three months, and the article argues that GKE generally becomes financially attractive only when PaaS costs exceed roughly $500 to $1,000 per month after engineering time is considered. It also notes that Cloud Run may be a simpler option for stateless HTTP services within its limits, while teams choosing GKE still need clear ownership for recurring work such as upgrades, certificate renewal, scaling tuning, secret rotation, backup testing, and incident response. Internal developer platforms, including the author’s company Qovery alongside alternatives such as Northflank and Porter, are presented as ways to retain self-service deployment workflows and reduce operational overhead while running workloads in a company’s own cloud account.

Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.