Platform Engineering With 10 Engineers and No Platform Team: What Actually Works

For engineering teams of about 10 people without dedicated platform staff that are moving from a vendor-hosted PaaS to their own cloud account, the central recommendation is to prioritize a managed bring-your-own-cloud orchestration layer over a developer portal. The piece distinguishes orchestration products such as Qovery, Northflank, DuploCloud, and Convox, which provision and operate workloads in a customer’s cloud environment, from portals such as Backstage, Port, and Cortex, which provide service catalogs, scorecards, and self-service interfaces but require separate deployment and infrastructure systems behind them. It argues that self-hosted Backstage and do-it-yourself stacks combining Terraform, Argo CD, Kubernetes operations, and custom tooling are often too resource-intensive for small teams, while vendor-hosted PaaS offerings like Render or Heroku do not meet the goal of retaining cloud-account control. The comparison highlights Northflank for GPU and multi-cloud support, DuploCloud for compliance automation, Convox for open-core simplicity, and Qovery for environment-based workflows including pull-request previews, automatic shutdown of nonproduction resources, access controls, managed databases, and cluster maintenance. Although the article says Terraform remains useful for foundational infrastructure such as networking, IAM, and shared data stores, it presents managed orchestration as a way to reduce repetitive service-deployment work, improve feedback loops through ephemeral environments, and avoid dedicating scarce engineering capacity to platform maintenance. It proposes a phased 30-day migration beginning with a noncritical stateless service, then migrating databases, secrets, DNS, staging, and production, before adding preview environments and considering a portal only if service-catalog needs emerge.

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.