Backstage vs Ravion

Backstage is a free, open-source framework for building and deploying developer portals. Its software catalog records ownership and metadata for services, websites, libraries and data pipelines, for teams managing a small set of services or company catalogs of thousands. Software Templates can fill code skeletons with variables and publish generated projects to destinations such as GitHub or GitLab. TechDocs keeps documentation in a docs-like-code workflow close to code. Integrations can read or publish data through GitHub, GitLab, Bitbucket, LDAP and cloud providers. Teams can extend a portal with existing open-source plugins or build their own; Backstage Search can index sources such as TechDocs, Confluence and Stack Overflow. Its Kubernetes feature aggregates a service’s deployments through the Kubernetes API. Backstage is self-hosted. The standalone installation guide creates a local demo with an in-memory SQLite database and says this setup is not production-ready. It lists minimum requirements of 20 GB disk and 6 GB memory, with more disk needed as modules and plugins are added. Its threat model describes only rudimentary denial-of-service protection and recommends a protected deployment environment.

Ravion is a framework and governed execution layer for internal developer platforms. It lets developers and AI agents provision, deploy and operate applications in a customer's AWS account. Platform teams can package existing Terraform as reusable modules with typed inputs, which developers use through forms. Each module instance is tracked as a stack with reviewable plans, approval gates, managed state and versioned resource history. Ravion supports deployments for containers, Lambdas and static sites, including rollbacks and deployment visibility. It works with Terraform providers and connects to AWS CloudWatch logs and metrics, Systems Manager Parameter Store and Secrets Manager, plus external CI through its API and CLI. Ravion says it uses short-lived, operation-scoped credentials through AWS STS and OIDC rather than storing AWS access keys. Infrastructure, application traffic, runtime secrets, builds, Terraform runs and pipeline runners stay in the customer's AWS account. AI agents can propose configuration changes and review dry-run diffs, subject to plans, policies and approval gates. AWS is supported today; Cloudflare, GCP and Azure are planned. The Individuals plan is free; Team is pay as you go, with module prices and pipeline-minute costs listed.