Hobby
For side projects and personal experiments.
Resource limits
Included
- ✓Custom domains
- ✓Automatic HTTPS
- ✓Live build logs
- ✓Audit log
- ✓Community support
Pricing
Start deploying for free. Upgrade only when your team or workloads need more resources.
No credit card required
Philosophy
Plans are defined by what your applications consume — CPU, memory, and environments. Team members, deployments, and build logs are never gated.
Deploy your first app with no payment details. The hobby plan is free forever.
Every commit can trigger a deployment. No manual steps, no YAML to write.
Upgrade your plan when your team or resource needs grow. Instant effect.
No contracts. Cancel anytime. Your code and data are always yours.
Plans
For side projects and personal experiments.
Resource limits
Included
For teams shipping real products to production.
Resource limits
Included
Higher limits, dedicated clusters, SSO, or custom SLAs — reach out and we'll work something out.
FAQ
No. The hobby plan is free forever — no payment details required. You only need a card when upgrading to Pro.
You'll see a clear error when trying to exceed your plan's app, environment, or resource limits. Existing apps and deployments are never affected — only new creation is blocked.
Yes. Upgrading to Pro takes effect immediately. Cancelling keeps you on Pro until the end of your billing period, then reverts to Hobby automatically.
1000 milli = 1 vCPU. So 100m is 10% of a core, 500m is half a core. These limits apply per environment — each environment you create gets its own allocation up to the plan limit.
The pool is the total CPU and memory available across all environments in your org. Even if each environment is within its per-env limit, the combined usage can't exceed the pool ceiling.
Podway supports GitHub Container Registry (GHCR) and Docker Hub. Connect your credentials once per organization — Podway uses them at build and deploy time.
Yes. There's no limit on the number of deployments, builds, or rollbacks on any plan. Limits only apply to concurrently running environments and their resource usage.