Comparisons

These pages compare the Kuberns operating model with the platforms teams most often arrive from. Each one covers configuration, processes, data, scaling, recovery, and billing, and each one ends with a section on where the other platform still fits better — because a comparison that only runs one way is not much use when you are actually deciding.

What Kuberns is built around

• A temporary AI agent that reads your repository and proposes the deployment configuration before anything is provisioned.
• Managed builds and container deployments on AWS-backed infrastructure.
• Projects, services, and branch-specific environments.
• Servers, workers, databases, queues, and caches as resources on an environment.
• Runtime-credit billing while resources run.
• Layered container self-healing, and diagnostics split into platform-side and user-side fixes.

Reading these fairly

Competitor products change. The comparisons here stay with architectural differences that hold over time — execution models, configuration approaches, what the platform owns versus what you own — rather than pricing tiers, timeout values, or plan limits, which go stale quickly. Verify current details against the other platform's own documentation before making a decision.

Three things Kuberns does not do come up in nearly every comparison, so they are worth knowing before you read any of them:

• There is no documented persistent-disk or volume resource. Data that must survive a deploy belongs in object storage or a database.
• There is no documented private-networking scheme between services.
• Backups are dumps you download and load yourself. Kuberns does not restore one into a running datastore for you.

If any of those is load-bearing for your application, resolve it first. It will decide the comparison faster than any feature table.

Choose a comparison

Each page has a matching migration guide that walks the actual move step by step.