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To keep an app running after you close SSH, run it under one process supervisor, configure automatic restarts, register that supervisor at boot, save the process definition, and monitor both logs and application health. For a host-run Node.js or script workload, PM2 provides this workflow. For a containerized workload, Docker’s restart policy should own recovery. “Forever” means automatic recovery from ordinary process crashes and VPS reboots—not immunity from provider outages, broken dependencies, exhausted resources, or bugs in the application.
What “running forever” actually requires
An SSH shell is only an interactive session. When you disconnect, any process tied to that session can receive a hangup signal or simply stop being managed. Tools such as nohup and shell backgrounding may detach a process, but they do not provide a durable definition of the service, a boot-time startup hook, crash recovery, health reporting, or controlled shutdown.
Reliable VPS operation has five separate parts:
- Supervision: a service manager owns the application process and starts it again when it exits unexpectedly.
- Boot persistence: the supervisor itself starts when the VPS boots.
- Saved configuration: the command, working directory, environment, and restart policy are stored somewhere reproducible rather than remembered in a shell history.
- Operational visibility: logs, status output, and a health check show whether users can actually use the service.
- Safe lifecycle handling: the app drains work and closes connections when it receives a termination signal.
A supervisor can restart a process that crashed. It cannot repair a bad release, restore a deleted database, make an unavailable payment provider respond, or compensate for a VPS that is powered off. Treat automatic restart as one layer of availability, not as a complete uptime guarantee.
Choose one restart authority
Decide first whether the app runs directly on the VPS or inside a container. Then assign exactly one component to start, stop, and restart that app. Two independent supervisors create races: one may restart a process while the other is stopping it, hide the real exit status, or produce a rapid restart loop.
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| Option | Best fit | Recovery and boot behavior | Observability | Main caution |
|---|---|---|---|---|
| PM2 on the host | Node.js, Python, shell, Ruby, PHP, or binary applications managed directly on the VPS | Automatic restarts, a generated startup hook, and a saved process list restored after reboot | pm2 status, pm2 logs, pm2 monit, and optional dashboard features |
Use sensible delays or backoff and implement graceful shutdown so dependency failures and deploys do not cause destructive loops |
| Docker restart policy | Applications already packaged as containers | Docker restarts containers according to their policy and starts them when the Docker service starts | Container logs plus an application-level health check | Do not add a host-level process manager to restart the same container |
| systemd or Supervisor | Host-managed services where operating-system-native supervision is preferred | The selected service manager owns the unit and its boot target | Depends on the manager and the VPS logging configuration | Document ownership clearly and do not layer it over another supervisor for the same process |
Prepare the VPS before enabling recovery
Automatic restarts are only useful when the supervisor can reproduce a valid start. Record these details before creating the service:
- The exact executable and arguments, including the application’s entry file.
- The absolute working directory and the Unix user that should own the process.
- Required environment variables, configuration files, ports, and bind addresses.
- Database, queue, cache, and third-party services that must be reachable at startup.
- Where standard output, error output, and structured application logs will be retained.
- How a deployment stops the old version and whether in-flight requests need draining.
Run the app manually once as the intended service user. Confirm that it binds to the expected interface, can read its configuration, reaches required dependencies, and exits with a useful error when initialization fails. A supervisor should not be used to conceal a start command that has never worked interactively.
Configure PM2 for a host-run application
1. Start the app with a stable identity
Install PM2 for the account that will own the application, then start the entry point with a name that will remain stable across deployments:
pm2 start app.js --name my-app
Use the equivalent command for another runtime or executable, supplying its arguments explicitly. The name matters because later status, log, reload, and stop commands should target the intended service rather than an ambiguous process number.
Immediately inspect the result:
pm2 status
The process should be online, with a sensible restart count and the expected working directory. If it exits repeatedly, stop and fix the underlying configuration before proceeding.
2. Generate the boot-time startup hook
Run:
pm2 startup
PM2 detects the available init system and prints a command tailored to that VPS. Copy and execute the generated command with the privileges it requests. This registers PM2 itself to start during a machine boot; it does not by itself know which application processes to restore.
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3. Save the managed process list
After the correct processes are online, run:
pm2 save
PM2 stores the current process definition. On a later reboot, the startup hook launches PM2 and PM2 restores the saved list. Every time you add, remove, rename, or materially reconfigure an app, verify the new state and run pm2 save again. Otherwise the VPS may come back with an older definition.
4. Watch status and logs
Use the built-in views during normal operation and after a restart:
pm2 statusorpm2 listshows process state, restart counts, and basic resource information.pm2 logs my-appfollows standard output and error output for the named process.pm2 monitprovides a live view of CPU, memory, and process activity.
Retain logs outside the terminal session and rotate them before they consume the VPS disk. PM2’s documented log-rotation module can automate rotation; your application should also emit timestamps and request or job identifiers so a failure can be traced across services.
5. Set restart behavior deliberately
A process that fails because a database is unavailable may fail again immediately. A tight loop wastes CPU, floods logs, and can trigger rate limits. PM2 supports a fixed restart delay and exponential backoff. Backoff increases the interval between successive failures and resets after the process has remained stable. Use it when an external dependency may be temporarily unavailable, and pair it with an alert so a slowly restarting but still broken service is not mistaken for a healthy one.
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Configure Docker as the container’s restart authority
1. Put the complete runtime in the image
The image should contain the application, its runtime, and its startup command. Configuration that changes by environment belongs in environment variables or mounted configuration, not in an interactive shell command that will disappear when the container is recreated.
2. Select a restart policy
Set a Docker restart policy when you create or define the container. A common production choice is:
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docker run --restart unless-stopped ...
Other policies are appropriate for different semantics: on-failure limits automatic restarts to non-zero exits, while always requests restarts whenever the container stops. Choose based on whether an intentional stop should remain stopped and whether every exit, including a clean one, should trigger a restart. Keep the policy in your Compose file or deployment definition so it is reproducible.
Do not run PM2, systemd, Supervisor, or a shell watchdog to restart that same container. Docker explicitly warns that combining container restart policies with host-level process managers creates conflicts. A host service may still be responsible for starting the Docker daemon; it should not independently manage the application process inside the container.
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3. Confirm Docker starts at boot
The restart policy is effective only when the Docker service itself starts after a VPS reboot. Enable Docker through the VPS distribution’s normal service-management mechanism, then verify that the container is configured with the intended policy. After a controlled reboot, inspect:
docker ps
and follow output with:
docker logs -f <container-name>
Use the actual container name or ID in place of the example token.
4. Add an application health check
A container can remain running while the application inside is deadlocked, unable to reach its database, or returning errors. Define a health check that exercises a lightweight endpoint and, where appropriate, verifies the dependencies that matter to users. A health check should be fast, deterministic, authenticated when necessary, and cheap enough to run repeatedly. Container status and health status answer different questions: one describes the process lifecycle, the other describes service readiness.
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Use an operating-system-native manager when the service is a traditional host daemon, when your team already operates units through systemd or Supervisor, or when you need tight integration with host permissions and logging. The important design is the same: define an explicit command, working directory, user, environment, dependency ordering, restart policy, and boot target.
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Keep the unit definition in version control and deploy it alongside the application. Reload the manager after changing the definition, start the service, inspect its status and logs, then test a deliberate restart and a reboot. Do not place a PM2-managed process or Docker container inside a second unit that also attempts to restart the underlying workload; choose one owner and let the other layer manage only its own boundary.
Prevent crash loops and dependency storms
Automatic recovery can amplify an outage if every failed start happens immediately. A practical policy has three elements:
- Delay: wait a fixed interval before retrying short-lived failures.
- Backoff: increase the delay after repeated failures, especially when a database, API, DNS service, or queue is unavailable.
- Visibility: alert on repeated exits, rising restart counts, and prolonged unhealthiness.
Backoff is not a substitute for fixing the dependency. Check credentials, DNS, firewall rules, migrations, connection limits, and provider status. Once the dependency returns, the app should recover without manual shell intervention. A stable run should reset exponential backoff so a later, unrelated crash is not delayed by an old incident.
Implement graceful shutdown before production restarts
Deployments, VPS maintenance, and supervisor restarts send termination signals. If the app exits immediately, requests in progress can be truncated and queued work can be lost. Handle SIGINT and SIGTERM explicitly.
A graceful shutdown follows five practical stages:
- Notify the application that termination has begun.
- Stop accepting new HTTP requests or jobs.
- Allow in-flight requests and active jobs to finish within a defined deadline.
- Release database, queue, cache, file, and network connections.
- Exit with an appropriate status so the supervisor knows whether the stop was intentional or a failure.
Test this path independently of a crash test. A restart that appears successful from the outside can still drop requests if the old process is killed before it drains.
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Design a useful health endpoint
Expose a lightweight endpoint such as /health or /ready. Decide what it means before implementing it. A liveness check may answer only whether the process can respond. A readiness check should also verify critical dependencies, such as a database connection or queue, and return an unhealthy result when the app cannot serve real traffic.
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Do not make the check depend on a slow, expensive report or an operation that mutates data. Separate liveness from readiness when your deployment system supports both, and avoid exposing sensitive diagnostic details in a public response.
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Capture startup failures, dependency errors, shutdown progress, restart reasons, and health-check failures. Include timestamps, severity, and a request or job identifier. Stream container logs or PM2 output to a retained destination, and rotate files before disk exhaustion. A full disk can prevent both the app and its supervisor from writing state, turning a recoverable error into a longer outage.
Watch resource limits
Track memory, CPU, disk space, open files, and network capacity. A process killed by the kernel for exhausting memory may look like an ordinary crash unless you inspect host events and supervisor logs. Set realistic container or service limits, then tune the application so normal load does not sit at the limit.
Verify recovery instead of assuming it
Run these checks during a maintenance window and record the expected result:
- Restart the supervisor or container and confirm the app returns without manual shell commands.
- Reboot the VPS and verify that the supervisor, app, listener, and health endpoint all return.
- Simulate an application failure by stopping or terminating the app process, not by deleting data.
- Confirm that the supervisor records the failure and starts a new process or container.
- Request the health endpoint and a representative user operation.
- Review logs for startup order, dependency errors, graceful shutdown, and the recovery event.
- Check that restart counts do not continue climbing after recovery.
This exercise is an operator procedure, not a guarantee that every provider or network failure will be recovered automatically. Repeat it after changing the startup command, process user, image, environment, or boot configuration.
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Troubleshoot common failures
| Symptom | Likely cause | What to check |
|---|---|---|
| The app stops when SSH closes | It was launched in the shell without durable supervision | Move it under PM2, Docker, systemd, or Supervisor; verify the supervisor owns the process |
| The app works until a VPS reboot | The supervisor startup hook or saved definition is missing | For PM2, run pm2 startup using its generated command and then pm2 save; for Docker, verify the daemon starts and the container has a restart policy |
| The supervisor reports online but users receive errors | The process exists but initialization, dependencies, or request handling is unhealthy | Read application logs, call the health endpoint, and test database, queue, DNS, and upstream connectivity |
| CPU and logs spike after a dependency outage | Immediate restart attempts create a crash loop | Configure a fixed delay or exponential backoff, then fix the failing dependency and alert on repeated exits |
| Deployments drop requests | The process exits before draining in-flight work | Implement SIGTERM/SIGINT handling, stop new work, finish active requests, close resources, and enforce a deadline |
| A container and host service keep restarting each other | Two restart authorities manage one workload | Remove the competing manager and leave Docker’s restart policy as the container authority |
| Recovery fails with “no space left” errors | Unrotated logs or application data filled the disk | Inspect disk usage, rotate or retain logs safely, free space, and add disk alerts before restarting |
Operational practices that make restarts safe
- Run the service as a dedicated, least-privileged user rather than root whenever the application permits.
- Keep secrets in the VPS secret mechanism or protected environment configuration; do not print them in startup logs.
- Pin runtime and dependency versions so a reboot does not silently select a different environment.
- Back up application data and configuration separately from the VPS process definition. A supervisor can recreate a process, not lost data.
- Document the owner, startup command, restart policy, health URL, log location, and rollback procedure.
- Use a maintenance window for reboot and failure-injection tests, and retain the observed results for the next operator.
Bottom line
For a directly hosted app, PM2’s durable pattern is pm2 start, the generated pm2 startup command, and pm2 save, followed by continuous use of status, logs, and monitoring. For a container, define Docker’s restart policy and let Docker remain the sole restart authority. Whichever model you choose, add backoff, graceful shutdown, health checks, log rotation, and deliberate reboot and crash tests. That combination is what makes a VPS app resilient after SSH disconnects, ordinary crashes, and host reboots.
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