Move your Replit app to DigitalOcean and keep the bill legible
Not every app needs AWS. If you want your own infrastructure without acquiring an ops habit, DigitalOcean gives you managed Postgres, container hosting, object storage, and a bill you can read - three moving parts instead of thirty.
- Typical timeline
- 1–3 weeks for a typical app
- Pricing
- Fixed quote after a free scoping call
- Rollback
- Written, rehearsed, and executed by you before handover
What staying on Replit actually costs
Not a list of features you are missing. These are the four things that reliably turn into an incident, an invoice, or a lost deal.
- 01
Predictable pricing you can explain to a co-founder
DigitalOcean prices are flat and published. A droplet is a droplet, a managed database is a fixed monthly figure, and bandwidth comes in a generous included allowance.
- 02
Enough platform, not too much
AWS has roughly two hundred services and you need six. That surface area is a real cost: more IAM to get wrong, more consoles to learn, more ways to accidentally leave something public.
- 03
You still own everything
The point of leaving a builder is that your code, data, and infrastructure definitions live somewhere you control.
- 04
Room to grow into, and out of
Managed Postgres with read replicas, container registry, load balancers, and a CDN cover a product to a genuinely large size.
The sentences we hear most, and what we do about each one
These are paraphrases of things founders have actually said on scoping calls. The left column is the experience; the right column is the work.
"I want to leave, but I do not want to become a sysadmin"
This is the honest objection, and it is why people stay on builders long past the point where it makes sense.
How we helpWe build on managed components deliberately: managed Postgres rather than Postgres on a droplet, App Platform or a container registry rather than hand-rolled deploy scripts, Spaces rather than a file server.
"Every guide assumes I already know Docker"
The migration content online is written for people who already do this.
How we helpWe write the Dockerfile, the health check, and the pipeline, and then we walk you through them line by line in a recorded session.
"My uploads and my database are in the same place as my code"
On a builder that is invisible. On the day of the move it becomes the whole problem: nobody knows which files are user data and which are build artefacts, and the answer is buried in code that was generated eight months ago.
How we helpPhase one is an inventory. We trace every write path in the codebase, classify what is user data, and move it to Spaces with signed URLs before anything else changes.
"I have no idea what this will cost until it is too late"
Founders budget for a migration and get surprised by the running cost afterwards - a database tier that was sized for peak, a load balancer per environment, snapshots nobody prunes.
How we helpThe proposal includes the monthly figure, itemised, before you agree to anything, and we size for your actual traffic rather than for a hypothetical launch.
Component by component, before and after
Every line is a decision we will walk you through, and every one of them is written down in the handover documentation.
| Today | becomes | After the migration | Why it matters |
|---|---|---|---|
| Replit web server | App Platform service, or containers on a Droplet with a load balancer | App Platform if you want deploys handled for you; Droplets if you need control over the runtime or a cheaper steady-state bill. | |
| SQLite file / Replit Database | DigitalOcean Managed PostgreSQL | Daily backups, point-in-time recovery, and an optional standby node. Connection pooling included. | |
| Uploads on the container disk | Spaces object storage with the CDN in front | S3-compatible, so the application code change is a configuration change, and a later move to S3 is trivial. | |
| Secrets in the repl | App-level environment variables, or a secrets store per environment | Production credentials are not readable from staging, and nothing sensitive is committed. | |
| Always-on repl for cron | A worker component or a scheduled job | Scheduled work stops sharing a process with the web server. | |
| Replit deployment URL | Your domain with an automatic Let's Encrypt certificate | Renewal is handled by the platform. No calendar reminder required. | |
| Manual redeploy | Deploy on push from GitHub, with rollback to any previous build | Rollback is a button and we make you press it once before handover. |
What it costs to run, before and after
The comparison founders ask for first. These are vendor list prices, not a quote - the point is the shape of the curve.
| Component | Small launch | Growing product | Note |
|---|---|---|---|
| App hosting (2 instances) | $24 / mo | $48 – $96 / mo | Basic to professional tiers; two instances so a deploy is invisible. |
| Managed PostgreSQL | $15 / mo | $60 – $120 / mo | Single node to start; add a standby when downtime starts costing money. |
| Spaces + CDN | $5 / mo | $5 – $20 / mo | 250 GB storage and 1 TB transfer included in the base price. |
| Load balancer | - | $12 / mo | Only needed once you run more than one node behind a single domain. |
| Monitoring and backups | included | $10 – $25 / mo | Platform monitoring is free; long-retention backups and error tracking are not. |
| Typical total | $45 – $60 / mo | $135 – $270 / mo | Flat, published prices - the same number every month unless you change something. |
DigitalOcean list prices at the time of writing for a small production workload, not figures from a specific engagement.
Four phases, each with something you can hold
Scope is fixed after phase one. Every phase ends in artefacts you keep, whether or not you continue to the next.
- 012–3 days
Inventory and sizing
We trace every write path and external dependency in the app, separate user data from build artefacts, and size the target against your real traffic.
You receive
- State inventory: what is user data, what is disposable
- Target topology and component sizing
- Itemised monthly cost
- Fixed-scope statement of work
- 024–7 days
Build and containerise
The app is containerised, the environment is defined in Terraform, and the pipeline is wired to your repository.
You receive
- Dockerfile with a real health check
- Terraform for the whole environment
- Managed Postgres, Spaces, and secrets provisioned
- Deploy-on-push with preview builds
- 031–2 days
Dry run
The full migration is executed against a copy of production data and timed.
You receive
- Timed runbook
- Data verification report
- Webhook and callback inventory
- Rollback procedure
- 04Half a day, plus 30 days support
Cut over and hand off
DNS moves during a window you choose. We watch the first traffic with you, then hand over the documentation, the runbook, and a walkthrough of how to deploy and roll back.
You receive
- Cutover with the old stack held as a rollback target
- Monitoring and alerting live
- Recorded walkthrough and written runbook
- 30 days of post-launch support
What can go wrong, and what stops it
We would rather write these down than discover them together. Each one is a real failure mode from a real migration, with the control that prevents it.
Under-sizing the database and hitting connection limits
Connection pooling is configured from the start and we load-test against the chosen tier during the dry run rather than discovering the ceiling in production.
Uploads not fully copied before the switch
Object sync runs continuously through the dry run and again immediately before cutover, with an object count and checksum comparison as a gate.
A cheaper tier that is not actually representative in staging
Staging runs the same engine and the same schema at a smaller size.
The bill drifting after handover
A billing alert is configured during the build phase, snapshots get a retention policy, and the monthly review under the retainer catches anything that grew quietly.
Before you book the call
At small and medium scale, usually yes, and more importantly it is more predictable.
App Platform when you want deploys, TLS, and scaling handled for you and your app is a standard web service.
Yes, and that is part of the point. The app is containerised and the infrastructure is Terraform, so a later move is a provider change against a known-good definition rather than a second archaeology project.
Yes - Fly, Render, Hetzner, GCP, Azure, or your own cluster.
Related migrations
Replit → AWS
Replit is the fastest way to get from an idea to a running app, and a genuinely bad place to leave one once people depend on it.
Read the planBolt.new → production
Bolt gets a full-stack app running in an afternoon and it is genuinely good at that. The gap between "runs in the Bolt preview" and "runs in production for paying users" is remarkably consistent across projects, which is convenient: it means the work is known before we start.
Read the planBase44 → your own cloud
Base44 builds working internal tools and SaaS quickly, and the questions that follow are always about ownership: where the data lives, who can reach it, and what happens on the day the platform is no longer the right fit.
Read the plan
Thinking about moving off Replit?
The scoping call is free, and it ends with a straight answer about whether it is worth doing yet.