How to Migrate from Coolify to Temps in 2026 (Step-by-Step Guide)
Coolify apps are Docker Compose/Dockerfile projects, and Temps deploys the same shape — so most apps move with minimal config changes. No automated importer exists: move your database with pg_dump/pg_restore, verify health checks, then cut DNS over. Fresh redeploy (30-60 min) or zero-downtime parallel cutover (1-2 hrs), plus what you gain: built-in analytics, error tracking, session replay, and uptime monitoring Coolify doesn't include.
The fastest way to migrate from Coolify to Temps is to redeploy your existing Docker Compose or Dockerfile project as-is — Temps deploys the same project shape Coolify does, so most apps need minimal config changes. There is no automated one-click importer between the two platforms: you stand up a new Temps deployment alongside your existing Coolify one, move your database with standard pg_dump/pg_restore, verify the new deployment's health checks pass, then cut DNS over. For a typical Compose-based app with one database, that's a 30–60 minute migration. Apps with several services or a large database should budget 1–2 hours.
Summary: Coolify and Temps both deploy Docker Compose and Dockerfile projects, so the deploy step itself rarely needs changes. What you're actually migrating is environment variables (copied manually — Coolify has no documented CLI export), the database (pg_dump / pg_restore or your database's native dump tool), and DNS. Everything Coolify doesn't include — web analytics, error tracking, session replay, uptime monitoring — is built into the Temps binary you're deploying to, so this migration is also the point where you can retire whatever separate observability tools you bolted onto Coolify.
Quick answer:
What moves automatically: Nothing — there's no one-click Coolify importer. What moves easily is your Docker Compose/Dockerfile definition, since Temps deploys the same shape.
What you move by hand: Environment variables (Coolify's dashboard → Temps' dashboard), database contents (pg_dump/pg_restore or equivalent), and DNS records once the new deployment is verified.
Typical time: 30–60 minutes for a single-service app with one database; 1–2 hours for multi-service projects.
What you gain on arrival: Web analytics, Sentry-compatible error tracking, session replay, and uptime monitoring — bundled in, not bolted on.
Coolify and Temps are both self-hosted, both deploy from Git or Docker Compose, and both are free to self-host. The difference is scope: Coolify is a deployment tool; Temps is a deployment tool plus the observability stack most production apps end up needing anyway. Coolify (~59,800 GitHub stars as of July 2026) has a larger, more mature community and 280+ one-click services — a real advantage if you're deploying a lot of third-party open-source tools, not just your own app. What it doesn't include: web analytics, error tracking, session replay, or uptime monitoring. Elsewhere on this blog, matching that stack separately (Plausible/Umami, Sentry, LogRocket, UptimeRobot) has been estimated at roughly $40–170/month depending on which tools you pick — verify current pricing for your specific stack before treating that as a fixed number. Preview deployments on Coolify also require manual configuration, where Temps generates them automatically per pull request.
Coolify deploys containers well, but it stops there — no built-in web analytics, error tracking, session replay, or uptime monitoring. That's a fine tradeoff for a hobby project. For a production app, it means assembling and paying for a separate stack (Plausible/Umami, Sentry, LogRocket, UptimeRobot) that typically runs $40–170/month on top of your VPS cost — and someone has to configure and maintain the integrations between all of it.
Coolify supports preview deployments, but configuring them per project is a manual step. Temps generates a preview URL for every pull request automatically, with no per-project setup — the same zero-config behavior you'd expect from a managed platform, on your own infrastructure.
Coolify's multi-server support works, but connecting nodes securely across a network is left to you. Temps ships WireGuard mesh networking built in, so multi-node deployments don't require a separate VPN or Kubernetes layer to set up first.
Fewer — Docker Compose for anything not first-class
License
Apache 2.0
Apache 2.0
Self-hosted cost
$0 (+ VPS)
$0 (+ VPS)
Managed cloud option
$5/mo base, 2 servers, +$3/mo per additional server (management layer only, VPS separate)
~$6/mo flat (Hetzner cost + 30%, VPS included)
The service-template gap is the one place Coolify still wins outright: if your stack leans on a lot of one-click open-source tools, Coolify's library is deeper. For everything you're deploying yourself, the migration is close to a lateral move on the deploy step — the difference shows up in what's running alongside it.
Pros: larger, more mature community (~59,800 GitHub stars), 280+ one-click service templates, proven at scale, Apache 2.0.
Cons: no built-in web analytics, error tracking, session replay, or uptime monitoring — you assemble and pay for that stack separately (typically estimated at $40–170/month), and preview environments need manual setup per project.
Moving to Temps
Pros: same Docker Compose/Dockerfile deploy model with minimal changes, built-in analytics, error tracking, session replay, and uptime monitoring in the same binary, automatic preview environments per pull request, WireGuard mesh networking for multi-node without a separate VPN layer.
Cons: smaller one-click template catalog than Coolify — anything not first-class ships as your own Docker Compose file instead of a pre-built template, and there's no automated migration tool, so the move itself is manual.
Coolify has no documented CLI export for environment variables — copy them from your project's Environment Variables section in the Coolify dashboard into a .env file. Coolify offers both a form-based "Normal View" and a plain-text .env-format "Developer View" for this — the Developer View is faster to copy from in bulk.
Step 2: Install Temps on your server
curl -fsSL https://temps.sh/deploy.sh | bash
This can be the same server Coolify is running on (if you're retiring Coolify entirely) or a new one.
Step 3: Log in and import your project
bunx @temps-sdk/cli login
Open the Temps dashboard, choose New Project → Import from GitHub (or point it at your Docker Compose file directly), select your repository, paste in the environment variables from Step 1, and deploy. Temps auto-detects Next.js, Node, Python, Go, Rust, and most common frameworks — or deploys your existing Dockerfile as-is if nothing is detected.
Step 4: Migrate your database
# From your Coolify database containerpg_dump -U youruser -d yourdb > backup.sql# Into your new Temps-managed Postgres instancepsql -U youruser -d yourdb < backup.sql
Substitute your database's native dump/restore tool if you're not on Postgres.
Step 5: Update DNS
Point your domain's A record (or CNAME) at the new Temps deployment. TLS certificates provision automatically via Let's Encrypt once DNS resolves.
For apps that can't tolerate a gap, run both deployments side by side before switching:
Deploy to Temps following Steps 1–4 above, but don't touch DNS yet — your Coolify deployment keeps serving production traffic.
Verify the Temps deployment on its temporary *.temps.sh URL: check that health checks are passing, run through your app's core flows, and confirm the database migrated cleanly.
Point a staging subdomain at the Temps deployment and test against real traffic patterns for a day or two if your app is complex enough to warrant it.
Cut DNS over to Temps once you're confident. Keep the Coolify deployment running (but not receiving traffic) for a day as a rollback option before decommissioning it.
Migration time: 1–2 hours, spread over the verification window
Your Docker Compose file or Dockerfile doesn't need to change — that's the part of the migration that just works. What's different is everything around it.
These are general Docker-deployment troubleshooting patterns, not Coolify- or Temps-specific documented issues — start here, but check the Temps docs or ask in the community if your case doesn't match.
If your Dockerfile builds cleanly in isolation (docker build . on your own machine) but fails during deploy, compare build-time environment variables and build arguments between the two platforms — a variable your Coolify setup had configured that Temps doesn't yet have is the most common gap.
Confirm your connection string environment variable was updated to point at the new Temps-managed database, not the old Coolify one — a stale DATABASE_URL is the usual culprit.
Verify your app actually listens on the port Temps expects and binds to 0.0.0.0 rather than localhost — a common gap when a Dockerfile was written for local development first. This isn't Temps- or Coolify-specific; it trips up container deployments on any platform.
Unlike Coolify, Temps generates these automatically per pull request with no per-project configuration. If they're not showing up, check that the GitHub App integration has access to the repository — the most likely cause if everything else in the setup matches the working production deployment.
Migrating isn't the right call for every team. Stay on Coolify if:
You lean heavily on its template library — 280+ one-click templates for third-party tools is real, and Temps doesn't try to match that catalog.
You've already built your own observability stack — if Plausible, Sentry, and UptimeRobot are already wired up and working, the cost of Coolify's missing built-ins is a sunk cost, not an ongoing one.
Multi-node isn't in your near-term plans — if you're running a single server, Temps' WireGuard mesh advantage doesn't apply yet.
If none of those describe your setup, the migration is likely worth the 30–60 minutes it takes.
Answer three quick questions to get your estimated annual savings. Teams paying $750+/mo across cloud + developer SaaS qualify for a free 30-minute migration audit where we map every line of your bill to a Temps equivalent and hand you a migration plan. Smaller teams get a self-serve path to the same outcome.
Free savings estimate
1/3
Potential savings
Up to $31k/ year
Three quick questions to see your number.
How many developers will use Temps?
Tap one to continue — your number unlocks on the next screen.
Yes, though no automated migration tool exists. Temps imports Docker Compose and Dockerfile projects with the same shape Coolify deploys, so most apps move with minimal config changes. Database content moves via standard pg_dump/pg_restore. Domain and TLS configuration is set up fresh on the Temps side rather than carried over automatically.
For a single-service app with one database, 30–60 minutes. Multi-service projects, or a zero-downtime parallel cutover instead of a fresh redeploy, should budget 1–2 hours.
In most cases, no. Temps deploys the same Docker Compose and Dockerfile shape Coolify does. The parts that change are environment variable management, database migration, and DNS — not the container definitions themselves.
Web analytics, Sentry-compatible error tracking, session replay, uptime monitoring, and automatic preview deployments per pull request. Coolify covers deployment and basic CPU/memory monitoring; matching Temps' bundled observability on top of Coolify typically costs $40–170/month in separate tools.
Both are free to self-host under Apache 2.0 — you pay only for your VPS either way. Coolify Cloud's management layer starts at $5/month (2 servers); Temps Cloud is a flat ~$6/month that includes the server itself (Hetzner cost + 30%). The bigger cost difference shows up once you account for the observability tools Coolify doesn't include.
You lose access to Coolify's one-click template catalog specifically, but anything deployed from a Docker Compose file continues to work on Temps the same way. If a tool you rely on is only available as a Coolify template with no public Compose file, that's the one case worth checking before you commit to migrating it.
Start by listing what's actually running on your Coolify instance:
docker compose ps
A single-service app with one database is a same-afternoon migration. Anything larger — multiple services, background workers, a sizable database — is worth scheduling a maintenance window and following the parallel-cutover path above.
This guide covers Docker Compose and Dockerfile-based projects, which cover the large majority of Coolify deployments. Test thoroughly against a staging environment before cutting over production traffic.
