You can move a Heroku or Vercel application to Coolify on your own VPS, but it is an infrastructure migration rather than a simple platform switch. Coolify supplies a self-hostable PaaS-style control plane; Docker runs your application, database, and service containers on servers that you provide. You gain control and avoid a recurring Coolify software license fee, while taking responsibility for the VPS, security, updates, backups, monitoring, recovery, and data protection.
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What changes when you leave Heroku or Vercel
Heroku and Vercel hide much of the host platform. Their services provision compute, apply many operating-system and network defaults, and expose deployment workflows without requiring you to administer the underlying machine. With self-hosted Coolify, you own that machine and the operational decisions around it.
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Coolify coordinates deployments and manages containers, but it does not provide your compute capacity. Its documentation states that “The Coolify server does not relay your application traffic.” Requests go to the server or servers where your workloads run, not through a hosted Coolify proxy service.
| Responsibility | Heroku or Vercel | Self-hosted Coolify |
|---|---|---|
| Control plane | Run and maintained by the platform provider | You install, update, secure, monitor, and recover Coolify |
| Application compute | Selected through the platform’s plans and regions | You purchase and size VPS or cloud servers |
| Runtime packaging | Platform-specific build and runtime conventions | Dockerfile, Docker Compose, Nixpacks, Railpack, or a prebuilt image |
| Databases and volumes | Platform add-ons or managed services | Containers and persistent volumes that you operate, or an external managed database |
| Backups and recovery | Depends on the service and plan | Your team defines, tests, stores, and restores backups |
| Network and host security | Mostly abstracted | Your SSH policy, firewall, operating-system patches, secrets handling, and incident response |
The practical result is more control over placement, networking, storage, and deployment behavior. It is not a promise of automatic savings or hands-off operations.
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VPS requirements and capacity planning
Minimum for the Coolify instance
Current Coolify self-hosted documentation lists a floor of 2 CPU cores, 2 GB of RAM, and 10 GB of disk space for Coolify itself. That is a control-plane minimum, not a production recommendation for several applications, concurrent builds, databases, queues, or observability services.
Your VPS also needs SSH access, a supported Linux setup, reliable DNS management, and a recovery path. Keep an off-server backup destination available before you deploy stateful workloads. If the VPS fails, a backup stored on the same disk cannot restore it.
Size for workloads, not just Coolify
Estimate application capacity separately from the control-plane floor. Record normal and peak CPU use, memory use during builds and runtime, database working-set size, log volume, image and artifact growth, backup retention, and temporary space needed during upgrades. Peak build activity can compete with a live database for memory; leave headroom rather than sizing to an idle measurement.
There is no universal VPS size for a Coolify deployment. A single small stateless service may fit near the documented floor, while a group of services with database replicas, workers, and build jobs needs substantially more CPU, RAM, and storage. Measure your current platform usage and choose a server that leaves room for the largest expected build and traffic event. Add another server or move a database to a managed service when isolation or capacity requires it.
Pre-installation checklist
- Root or administrative SSH access with key-based authentication.
- A supported Linux distribution kept current with security updates.
- A hostname or DNS plan for the Coolify dashboard and each application domain.
- A firewall policy that exposes only required web, SSH, and service ports.
- Off-host storage for database, volume, and configuration backups.
- A tested recovery route, such as a provider snapshot plus documented rebuild steps.
- An inventory of current Heroku or Vercel applications, data stores, integrations, and scheduled work.
Installing Coolify on the VPS
Coolify provides an automated installer. The documented command is:
curl -fsSL https://cdn.coollabs.io/coolify/install.sh | bashReview the current server and installation guidance before executing any remote script, confirm that you are connected to the intended VPS, and record the operating-system and firewall state. After installation, complete the initial dashboard setup, change default access details, enable strong authentication where available, and restrict dashboard access to trusted networks or addresses.
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Connect the Git provider that hosts your code. Coolify supports GitHub, GitLab, Bitbucket, and Gitea integrations. It can build from a Dockerfile, Docker Compose configuration, Nixpacks, Railpack, or a prebuilt container image. Choose one packaging method deliberately instead of trying to reproduce a platform’s defaults blindly.
Translate each Heroku or Vercel project into a Coolify resource
Do not start by changing DNS. First create a staging resource and reproduce the complete deployment contract.
Build and start behavior
| Existing setting | Migration action |
|---|---|
| Build command and build-time dependencies | Put them in a Dockerfile, Compose build section, or the selected build-pack configuration; verify the same runtime and system packages. |
| Start command and process type | Define the container command and replicate web, worker, and release processes as separate resources or services where appropriate. |
| Runtime version | Pin the language and operating-system base image rather than relying on an implicit platform version. |
| Environment variables and secrets | Enter them in Coolify’s resource configuration; never commit production secrets to the repository. |
| Preview or staging deployments | Create a separate resource, domain, and data target so tests cannot write to production. |
| Health checks | Configure an endpoint or command that proves the service is ready, including database and migration dependencies. |
Inventory more than the web process. Include cron jobs, queues, workers, webhooks, outbound email, object storage, third-party API credentials, database extensions, and any platform add-ons. A successful image build does not prove that background work or scheduled tasks survived the migration.
Data, storage, and state migration
Databases
Choose an application-appropriate export/import or replication plan for each database engine. Validate extensions, collation, timezone behavior, users, permissions, and connection limits before production cutover. Restore a copy into staging and run the application’s migrations and representative queries against it.
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For a database that accepts writes, schedule a final write freeze or maintenance window when consistency matters. Export the final delta, import it into the target, verify row counts and application checks, and only then direct production traffic to the new service. Keep the source database available until the new system has passed its defined rollback window.
Persistent files and object storage
Containers are replaceable; user uploads and generated files are not. Identify every directory that must persist, attach a persistent volume, and test behavior after a container recreation. If files belong in object storage, copy them independently and update credentials and endpoint settings. Include volume contents in the backup and restore test rather than assuming a VPS snapshot is sufficient.
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Queues, cron, and one-off jobs
Recreate scheduled jobs with an explicit timezone and run history. Deploy workers separately when they need different concurrency or resource limits. Drain or pause queues during the final data transition, then resume them after consumers point at the new database and secrets.
Validate before changing DNS
- Build repeatedly. Run clean builds from the repository and confirm that dependency installation, asset compilation, and image startup are deterministic.
- Exercise health checks. Test readiness, liveness, database connectivity, migrations, and failure responses.
- Test real integrations. Send a test email, receive a webhook, execute a background job, access object storage, and verify outbound API calls.
- Inspect logs and resource use. Confirm that logs are searchable, timestamps are correct, and CPU, memory, disk, and restart behavior are visible.
- Run backup and restore drills. Restore the database and persistent volumes into an isolated target and start the application from that recovery set.
- Exercise TLS. Confirm certificates, renewal behavior, redirects, custom domains, and any nonstandard ports.
- Load-test cautiously. Use traffic representative of your application and watch for memory pressure, connection exhaustion, and slow disk performance.
Keep the Heroku or Vercel deployment serving the old domain, or otherwise ready to receive traffic, while this validation occurs. Define success criteria in advance: error rate, latency, queue delay, backup freshness, and the ability to restore.
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Lower DNS time-to-live before the planned switch if your DNS provider permits it, but do not assume every resolver honors the new value immediately. Prepare the final database synchronization, stop or drain writes on the old system, and switch the relevant records only after the new deployment is healthy.
During cutover, watch application errors, latency, worker throughput, database connections, disk usage, certificate status, and webhook deliveries. Keep the old deployment and its data untouched until the rollback deadline passes. A rollback is more than pointing DNS back: if both systems accepted writes, reconcile the data before reopening the old application.
Operating self-hosted Coolify after migration
Self-hosting has no recurring Coolify license fee, but the operating work is yours. Establish an ownership schedule for:
- Coolify and operating-system updates, including a maintenance window and tested rollback.
- SSH keys, administrator accounts, firewall rules, and removal of unused access.
- Encrypted backups of databases, volumes, configuration, and secrets, stored off the VPS.
- Restore tests with a documented recovery-time and recovery-point objective.
- Monitoring for control-plane health, application errors, certificate expiry, disk growth, CPU, memory, and failed deployments.
- Incident procedures for a compromised host, lost volume, expired certificate, failed upgrade, or provider outage.
- Log retention and sensitive-data handling so application logs do not become an unprotected secret store.
Keep a written rebuild procedure. It should identify the VPS image, DNS records, Git integrations, environment variables, backup locations, volume mounts, and the order in which databases and applications are restored. A snapshot is useful, but it does not replace independent backups or a tested clean installation.
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Self-hosted Coolify versus Coolify Cloud
The choice is mainly about who operates the control plane. Self-hosted software is listed as “Free Forever” and requires your infrastructure. Coolify Cloud manages the Coolify control plane and its maintenance, while your applications and databases still run on servers that you provide.
| Decision factor | Self-hosted | Coolify Cloud |
|---|---|---|
| Control-plane hosting | Your VPS | Managed by Coolify |
| Control-plane updates and recovery | Your team | Delegated to Coolify |
| Workload servers | You provide and secure them | You still provide and secure them |
| Coolify software fee | No recurring license fee | Listed starting price is $5/month for two connected servers, plus $3/month for each additional server |
| Backup responsibility | You back up the control plane and workloads | You still back up your workloads; control-plane responsibility is delegated |
| Best fit | Teams willing to run the platform and optimize recurring spend | Teams that want the Coolify workflow without maintaining its control plane |
The listed Cloud prices are current 2026 figures and can change, so verify them before committing. Neither option removes the need to budget for VPS charges, storage, bandwidth, database operations, monitoring, and engineering time.
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Compare the complete operating cost, not just the platform line item. Include the VPS, block or object storage, backup retention, outbound bandwidth, monitoring, incident-response coverage, security patching, database administration, and the value of the time required to maintain the system. Self-hosting can make infrastructure spending more predictable when usage is steady, but it also transfers the financial impact of downtime, data loss, and security mistakes to your team.
A useful decision test is operational capacity: can someone respond when the VPS fills its disk at night, a certificate fails, a database needs recovery, or an update breaks the control plane? If the answer is no, managed control-plane hosting or a managed database may be worth more than the nominal license savings.
Common migration failures and fixes
The build passes but the container exits
Check the start command, listening interface, port, runtime version, and required environment variables. A process bound only to localhost inside the container will not receive external traffic.
Data disappears after a redeploy
The application wrote to the container filesystem instead of a persistent volume or object store. Attach the correct volume, copy existing data, and test a deliberate container replacement.
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Web requests work but jobs do not
Deploy and monitor the worker and scheduler separately, verify queue credentials, and confirm that the worker’s timezone and concurrency match the original behavior.
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Writes reached both systems during the transition. Restore the last consistent backup or reconcile the delta, then repeat the migration with a defined write freeze or replication process.
The VPS runs out of resources during deployment
Inspect build-time memory, temporary image layers, database usage, and log growth. Add capacity or move a resource before retrying; do not treat the Coolify control-plane minimum as workload capacity.
When this migration is a good fit
Choose self-hosted Coolify when your team wants Docker-based portability, control over server placement and networking, and is prepared to operate the host and recovery process. Keep a fully managed platform when eliminating server administration is more valuable than infrastructure control. Coolify Cloud is a middle path for teams that want their own workload servers but prefer Coolify to maintain the control plane.
The safest migration is staged: inventory first, build a reproducible resource, copy and restore data, test every integration, switch traffic with a rollback plan, and only retire the old platform after the new system has demonstrated both normal operation and recovery.
Quick Recap
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