Vylara
Connect a repo
Use case

Migrate from PaaS to your own AWS or Azure account

Outgrowing Vercel, Render, Heroku, Fly, or Railway is a predictable phase, not a failure. Vylara plans the move: delivery config in Git pull requests, cloud infrastructure reviewed in Vylara and provisioned when you deploy—so a small team can migrate without a dedicated platform engineer.

The triggers we hear most often

  • The bill crossed an uncomfortable threshold
  • An enterprise customer is asking for SOC 2, ISO 27001, or HIPAA
  • A customer asked you to deploy into their cloud (BYOC)
  • You hit a runtime, region, or service limit on the PaaS
  • Compliance now requires the data to live in a specific account or region

How Vylara plans the migration

  1. Connect the source repo and the target AWS or Azure account.
  2. The agent reads the repo plus your PaaS config (Procfile, render.yaml, vercel.json, etc.).
  3. It opens a PR with Docker, CI, and deployment config, and surfaces the target cloud plan in Vylara.
  4. You review delivery changes in Git and the infrastructure plan in Vylara, then merge the PR.
  5. You approve a deploy to provision your cloud. Side-by-side traffic and data sync use follow-up PRs or Vylara workflows.
  6. Cutover is a single DNS change once parity is confirmed.

Per-source migration paths

Try Vylara on your repo

Connect a repo, review your cloud plan in Vylara, merge delivery changes as Git PRs, and deploy into your own AWS or Azure account when you’re ready.

Start free

Frequently asked questions

Can I migrate without downtime?
For most apps, yes. Run side-by-side until traffic and data parity are confirmed, then flip DNS. Vylara's migration plan PR includes a cutover checklist.
What about my managed database?
Vylara proposes a logical-replication or dump/restore plan into the equivalent managed service in your account (RDS, Aurora, Azure DB for PostgreSQL).
Can I keep my existing CI?
Yes. Vylara typically generates GitHub Actions workflows. If you're on CircleCI, GitLab CI, or another system, the agent can produce equivalents.
What's the typical timeline?
Same-day proof of concept, 1 to 2 weeks for the full cutover including DNS, observability, and runbook. Larger or stateful systems take longer.