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How to Set Up Zero-Downtime Rails Deploys With Puma on a VPS

A practical Rails deployment pattern for a VPS: build timestamped releases, keep runtime files shared, run Puma under systemd, switch the current symlink atomically, and use phased restarts while old and new workers overlap safely.
Length12 min Posted Quest giverVGSources Team
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Use timestamped release directories, a stable current symlink, Puma supervised by systemd, and Puma’s phased restart. Prepare and test the new release before switching traffic, run only backward-compatible database migrations, then replace workers one at a time. This keeps the Puma master and listening socket available while old and new application code briefly overlap.

The deployment design that avoids a request gap

A reliable VPS deployment separates immutable application releases from runtime data. Each build is unpacked into its own directory, while a stable path points to the release currently serving traffic:

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/var/www/myapp/releases/20261015040100
/var/www/myapp/current -> /var/www/myapp/releases/20261015040100

Logs, process IDs, Unix sockets, cache data, uploads, and secrets live under a shared directory rather than inside a release that will later be deleted. Puma runs from /var/www/myapp/current as a foreground process under systemd. NGINX can terminate TLS, serve static files, and proxy dynamic requests to Puma’s Unix socket:

client → NGINX → Puma Unix socket → Rails

NGINX is a practical implementation, not a requirement imposed by Puma. Any front end that can proxy to the socket can fill that role.

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Why the stable symlink matters

Building in a new directory prevents half-installed code from receiving requests. The running service continues to use the previous target until the new release has passed dependency installation, asset compilation, migration checks, and boot checks. Changing the symlink is then a short filesystem operation instead of a long in-place update.

What must be shared

  • config/database.yml and production credentials or other secret files.
  • log and runtime directories under tmp, including Puma’s PID and state files.
  • The socket directory used by NGINX and Puma.
  • Application cache where losing the cache on every deploy is unacceptable.
  • User uploads and any other files created at runtime.

Capistrano Rails supports this release layout, linked files and directories, asset tasks, and deployment migrations. You can implement the same pattern with a shell script or another release tool as long as the ordering remains the same.

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Prerequisites and host preparation

Before the first production deployment, confirm that the VPS has a supported Ruby and Bundler installation, the production database is reachable, the web server can read the Puma socket, and the deploy user owns the application tree. The service account should not need root access to read releases or write shared runtime directories.

Create the directory layout

sudo mkdir -p /var/www/myapp/releases
sudo mkdir -p /var/www/myapp/shared/{log,tmp/pids,tmp/sockets,cache,uploads,config}
sudo chown -R deploy:deploy /var/www/myapp

Place the shared database configuration and credentials in their final locations, then link them into every release. Keep permissions restrictive for secrets. Ensure the socket directory is writable by Puma and readable by the NGINX worker account; group ownership or an appropriate systemd umask is usually safer than making the socket world-readable.

Define a health endpoint

Use an endpoint that can prove the Rails process booted and can answer a request without performing an expensive business operation. It should return a success status only when the application is ready for traffic. The deployment checks below assume an endpoint such as /health; use the path implemented by your application.

Configure Puma for the VPS

Puma’s deployment guidance generally favors cluster mode when the machine has more than one CPU core, because multiple workers can use available CPU resources. Single mode is generally appropriate for a fully multithreaded Ruby implementation or a machine with only one CPU core. Worker and thread counts must be chosen from measured CPU and memory capacity, then validated with a load test; the values in this example are illustrative, not sizing recommendations.

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workers Integer(ENV.fetch("WEB_CONCURRENCY", 2))
threads_count = Integer(ENV.fetch("RAILS_MAX_THREADS", 5))
threads threads_count, threads_count

preload_app!
plugin :tmp_restart

bind "unix:///var/www/myapp/shared/tmp/sockets/puma.sock"
pidfile "/var/www/myapp/shared/tmp/pids/puma.pid"
state_path "/var/www/myapp/shared/tmp/pids/puma.state"

environment ENV.fetch("RAILS_ENV", "production")

Choose workers and threads deliberately

Every worker is a separate Ruby process and therefore consumes its own memory. Threads share a worker’s memory but require thread-safe application code and enough database connections for the concurrency you configure. Increasing both values without measurement can exhaust RAM or the database before it improves throughput. Start conservatively, observe memory and response errors, and load-test before raising concurrency.

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Understand preload_app!

Preloading can reduce duplicated memory through copy-on-write, but it changes boot behavior. Validate initialization hooks, reconnect database clients after forking, and verify that libraries are safe in this arrangement before enabling it. It is an optional tuning choice, not a prerequisite for phased restarts.

Use a shared socket and state path

The socket and state files must not disappear when the symlink changes. Keeping them under shared lets NGINX retain a stable destination and lets the control command find the Puma master across releases.

Run Puma as a supervised systemd service

Puma should remain in the foreground. Its deployment documentation recommends an operating-system process monitor such as systemd and notes that daemonization is not required for zero-downtime restarts.

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[Unit]
Description=MyApp Puma
After=network.target

[Service]
Type=notify
User=deploy
WorkingDirectory=/var/www/myapp/current
ExecStart=/var/www/myapp/current/bin/puma -C /var/www/myapp/current/config/puma.rb
Restart=always
RestartSec=5
WatchdogSec=10

[Install]
WantedBy=multi-user.target

Puma 5.1 and later support Type=notify and watchdog integration when the required notification support is available. If your Ruby, Puma, or systemd environment cannot provide notifications, use a service type appropriate to that installation rather than claiming readiness that cannot be reported. Adapt the executable path if Ruby is installed through a version manager, and load environment variables through a controlled systemd environment file or wrapper.

Enable, start, and inspect the service

sudo systemctl daemon-reload
sudo systemctl enable myapp-puma
sudo systemctl start myapp-puma
sudo systemctl status myapp-puma
sudo journalctl -u myapp-puma -n 100 --no-pager

Before deploying application code, confirm that Puma creates the shared socket, the health endpoint answers locally, and NGINX can connect to that socket. Puma also documents socket activation as an option: systemd owns the listening socket and keeps it open while the service is restarted. That is a separate design from a normal service restart and can provide a hot-restart behavior when configured correctly.

Proxy Puma through NGINX

A typical NGINX configuration defines the Puma Unix socket as an upstream and forwards the original host, client address, and protocol. The exact server block depends on your TLS and domain configuration, but the dynamic location needs to target the same shared socket configured in Puma.

upstream myapp_puma {
    server unix:/var/www/myapp/shared/tmp/sockets/puma.sock;
}

server {
    listen 443 ssl;
    server_name app.example;

    location / {
        proxy_pass http://myapp_puma;
        proxy_set_header Host $host;
        proxy_set_header X-Real-IP $remote_addr;
        proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
        proxy_set_header X-Forwarded-Proto $scheme;
    }
}

Test the configuration before reloading NGINX, and verify socket permissions if NGINX reports a permission-denied or upstream-unavailable error. NGINX can also serve fingerprinted assets directly, reducing work for Rails.

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Cache fingerprinted assets safely

Production asset precompilation creates digest-named files under public/assets. Rails documentation shows an NGINX rule that gives these immutable-looking files a one-year expiry and Cache-Control: public. Retain old compiled files for as long as cached HTML from the previous release may reference them. If shared asset cleanup removes a digest too early, clients can receive missing CSS or JavaScript even though the new release is healthy.

The release sequence

Do all expensive and failure-prone work before changing current. A safe sequence is:

  1. Fetch the exact commit. Create a new timestamped directory under /var/www/myapp/releases and check out the intended revision there. Never build directly in current.
  2. Install locked dependencies. Run Bundler in deployment mode and install any locked JavaScript dependencies required by the asset build. Fail the deployment if the lockfiles cannot be honored.
  3. Link shared files and directories. Link database configuration, credentials, logs, runtime directories, cache, sockets, and uploads into the new release. Check that every link resolves before continuing.
  4. Compile production assets. Run RAILS_ENV=production bin/rails assets:precompile. Rails normally performs this during deployment and writes compiled files to public/assets. If the build does not require production secrets, SECRET_KEY_BASE_DUMMY can provide a build-only key.
  5. Apply only compatible migrations. Run the production migration task before cutover, but restrict it to changes that both the old and new code can tolerate. Capistrano Rails exposes deploy:migrate and supports conditional migration configuration.
  6. Boot-check the new release. Load the application with the new environment, verify the configured health endpoint locally, and inspect logs for missing secrets, failed initializers, or database connection errors.
  7. Atomically move the pointer. Create a temporary symlink and replace current in one rename operation:
ln -s /var/www/myapp/releases/20261015040100 /var/www/myapp/current.new
mv -Tf /var/www/myapp/current.new /var/www/myapp/current
  1. Request a phased restart. Tell the existing Puma master to replace workers one at a time. You can use Puma’s control mechanism or send SIGUSR1 to the master process:
kill -USR1 "$(cat /var/www/myapp/shared/tmp/pids/puma.pid)"
  1. Verify after replacement. Check the public health endpoint, response errors, Puma and Rails logs, asset URLs, and a representative authenticated request. Keep the previous release until these checks pass and the rollback window closes.

What a phased restart actually does

Puma’s phased restart kills an old worker, starts a new worker, waits for the new worker to start successfully, and then proceeds to the next worker. The master process remains running, so the listener does not need to be closed for the replacement.

During the operation, old and new workers can exist simultaneously. That overlap is the central database requirement: both versions must be able to use the schema and data at the same time. A phased restart is therefore not a way to make an incompatible schema change harmless.

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Phased restart versus other restart strategies

Strategy Request continuity Old/new code overlap Migration constraint Memory and operations
Phased restart Workers are replaced individually while the Puma master remains active. Yes, briefly. Schema must support both versions. Requires spare capacity for replacement workers and careful readiness checks.
Normal systemd restart Not guaranteed; the service can close listener sockets while the new process initializes. Usually no worker overlap. Still requires a deployable schema, but it does not solve request interruption. Simpler, but unsuitable when a serving gap is unacceptable.
Socket-activated restart systemd can keep the listening socket open while Puma restarts. Depends on how the replacement is configured. Does not remove schema compatibility work. More systemd configuration and another failure mode to monitor.
Blue-green deployment Traffic switches between separately running environments. Yes, for the duration of the cutover. Shared database still requires compatible versions. Needs substantially more memory and duplicate infrastructure, but can make rollback fast.

Use phased restart when one VPS has enough headroom for worker overlap and you want a compact deployment. Consider socket activation or a second environment when your startup behavior, memory profile, or rollback requirements make worker replacement insufficient.

Design migrations for overlapping workers

Use an expand-and-contract sequence rather than changing a live schema in one destructive step.

Expand

Add nullable columns, new tables, indexes, or other additive structures first. The old release must continue to work when these objects exist but are unused. Avoid a migration that immediately renames or drops something the old workers still query.

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Deploy dual-compatible code

Release code that can read the old and new shapes. When changing a column or serialized representation, temporarily support both formats. Deploy writers that populate the new structure while preserving the old one if rollback remains possible.

Backfill separately

Large data updates should be a controlled operation separate from the request-serving migration. Batch and monitor the work so it does not hold locks for an unacceptable duration. Puma replacing workers does not reduce database lock time.

Switch and contract

After all workers use the new path and the rollback window has passed, switch reads and writes fully, then remove obsolete columns or compatibility code in a later deployment. Destructive changes need their own recovery plan because a code rollback cannot restore data that a migration permanently removed.

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Assets, uploads, and release cleanup

Digest-based assets make it possible for old and new HTML to reference different filenames. Do not delete the previous release’s compiled assets immediately after cutover. Keep enough history for browser and intermediary caches, or store assets in a shared location with a cleanup policy that understands active references.

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Uploads are not build artifacts. Keep them in the shared uploads directory and mount or link that directory into each release. The same principle applies to logs and any generated files that must survive a deployment.

Rollback without making the incident worse

Failure before cutover

If dependency installation, asset compilation, migration checks, boot checks, or the local health request fails, leave current pointing at the previous release. Inspect the failed release and run:

sudo journalctl -u myapp-puma -n 200 --no-pager

Fix the cause, or remove the failed release after preserving logs needed for diagnosis. Because traffic never moved, no Puma restart is required for this case.

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Failure after cutover

If the pointer changed but the public health check fails, point current back to the previous release using the same atomic symlink replacement, then request another phased restart. Watch the logs while old workers return and confirm that NGINX sees the expected socket.

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Check database compatibility first

A rollback is safe only while the database remains usable by both releases. If the new version ran a destructive migration, reverting application code may produce errors or silent data loss. Treat destructive migrations as a separate recovery project rather than assuming that changing the symlink restores the old system.

Troubleshooting the common failure modes

NGINX returns 502 or cannot connect

  • Check that Puma is active with systemctl status myapp-puma.
  • Confirm the socket exists at the shared path and that its owner, group, and mode allow NGINX access.
  • Verify that systemd’s working directory and Puma’s bind path both resolve through the intended shared tree.
  • Read the Puma journal for boot failures before changing NGINX.

Phased restart leaves mixed behavior

Mixed responses usually indicate that old and new workers are serving different code paths, which is expected during replacement. If requests fail, inspect migration compatibility, feature flags, cache formats, and initializers that assume a single version. Do not “fix” the symptom by forcing a normal restart if that would create a serving gap.

Workers repeatedly restart

Check memory pressure, database connection limits, missing environment variables, and exceptions during boot. A watchdog or Restart=always can keep trying indefinitely, but supervision does not make a broken release healthy. Stop the deployment, preserve the previous pointer, and use the journal to identify the first failure.

New pages have missing styles or scripts

Confirm that assets:precompile ran in production, that NGINX serves the new digest files, and that cleanup did not remove files referenced by cached HTML from the previous release. Check the generated asset URL rather than only the Rails response status.

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A repeatable operational checklist

  • Release directory is new and timestamped; current still points to the known-good version.
  • Locked Ruby and JavaScript dependencies installed successfully.
  • Shared secrets, database configuration, logs, sockets, cache, and uploads are linked.
  • Production assets compiled successfully.
  • Migrations are additive or otherwise compatible with old workers.
  • New release boots and passes a local health request.
  • Symlink replacement completed atomically.
  • Puma phased restart completed without worker boot errors.
  • Public health endpoint, logs, error rate, and asset URLs are normal.
  • Previous release remains available until rollback is no longer needed.

Final deployment rule

Zero downtime is a sequence property, not a single Puma flag. Build everything away from the live path, supervise Puma with systemd, switch the release pointer only after checks pass, and use phased restart so workers are replaced one at a time. The database, assets, uploads, secrets, and rollback plan must all tolerate the brief period when two application versions coexist. A normal systemctl restart is not the default code-deploy operation when a request-serving gap is unacceptable; use phased restart or a deliberately configured socket-activation design instead.

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