The Tool Desk
Outbyte PC Repair FREEClear out junk files and repair common Windows errorsFree Scan →Outbyte Driver Updater FREEScan for outdated or missing drivers - takes under a minuteDriver Scan →The reliable way to run a Python program continuously on Ubuntu is to create a systemd service. A unit in /etc/systemd/system/ starts the program at boot, keeps it independent of your SSH session, restarts it after unexpected failures, and sends its output to the system journal.
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The essential pattern is simple: run the virtual environment’s Python interpreter with an absolute path, keep the script in the foreground, run it as a restricted service account, then use systemctl and journalctl to operate and diagnose it.
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This guide creates a service named myscript.service for an application stored in /opt/myapp. The service account is myapp, and the Python entry point is /opt/myapp/app.py. Substitute your own names, but keep paths absolute in the unit file.
The finished service will:
- start automatically when Ubuntu reaches its normal multi-user boot target;
- start immediately when you install it;
- run without an open terminal or SSH connection;
- restart when the process exits unsuccessfully, with a five-second delay; and
- send startup messages, tracebacks, and other output to the journal.
This is intended for a long-running worker, bot, web listener, queue consumer, or similar process. A finite task that should run at a particular time is usually a better fit for a timer or cron job, not a permanently supervised service.
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Why systemd is the right supervisor on Ubuntu
Starting a script with python app.py &, nohup, screen, or tmux can keep it alive temporarily, but those approaches do not provide the same boot integration, dependency ordering, privilege separation, restart policy, and centralized logs. Closing an SSH session, losing a terminal multiplexer, or rebooting the machine can still stop or strand the process.
Ubuntu’s service manager treats a unit file as the definition of a background task and its interaction with the operating system. It knows the process ID, records exit status, applies restart limits, and can start the unit as part of boot.
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| Approach | Boot integration | Crash restart | Privilege isolation | Logs | Best use |
|---|---|---|---|---|---|
| systemd service | Native; enabled with systemctl |
Built in with Restart= |
Runs as a named Unix user | Integrated with journalctl |
A continuously running program on one Ubuntu host |
| cron | Scheduled invocation | Not a service supervisor | Runs as the selected cron user | Varies by cron/mail configuration | Finite jobs at fixed times or intervals |
| tmux or screen | No normal boot registration | Limited; depends on the session | Usually your interactive account | Terminal output unless redirected | Interactive work you need to reattach to |
| Docker or another container runtime | Depends on the runtime and its policy | Available, but adds another layer | Container isolation model | Runtime-dependent | When packaging and multi-process orchestration are the main concern |
| External process manager | Requires its own installation and integration | Usually available | Depends on its configuration | Manager-dependent | Applications already standardized on that manager |
For one Python process on an Ubuntu server, systemd normally has the strongest native integration and the fewest moving parts.
Prepare the application and service account
Create a dedicated account
Do not run an unattended application as root unless it genuinely needs root privileges. A dedicated account limits what a compromised or buggy process can read and change.
sudo adduser --system --group --home /opt/myapp myappThe command creates the myapp user and group. The home path is also the application directory in this example. If the account already exists, skip this command and verify it with id myapp.
Create the directory and install files
sudo install -d -o myapp -g myapp /opt/myapp
sudo cp app.py /opt/myapp/
sudo chown -R myapp:myapp /opt/myappCopy your requirements file and configuration into the same tree, or grant the account access to their actual locations. The service user must be able to traverse every parent directory, read the script and its modules, read configuration and certificates, and write any directory used for state, uploads, caches, or application logs.
Create and populate a virtual environment
Use the interpreter that belongs to the application’s virtual environment. This avoids depending on whichever Python happens to be first in a non-interactive service’s PATH.
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sudo -u myapp python3 -m venv /opt/myapp/.venv
sudo -u myapp /opt/myapp/.venv/bin/pip install -r /opt/myapp/requirements.txtIf the host does not have the Python virtual-environment package installed, install the Ubuntu package appropriate to your Python version before creating the environment. Confirm the executable exists:
ls -l /opt/myapp/.venv/bin/pythonThat exact path is what the unit will execute. Do not rely on source .venv/bin/activate; activation changes an interactive shell and is not required when the absolute interpreter path is used.
Write the systemd unit
Create /etc/systemd/system/myscript.service as root:
[Unit]
Description=My Python background service
After=network-online.target
Wants=network-online.target
[Service]
Type=simple
User=myapp
WorkingDirectory=/opt/myapp
ExecStart=/opt/myapp/.venv/bin/python /opt/myapp/app.py
Restart=on-failure
RestartSec=5
Environment=PYTHONUNBUFFERED=1
[Install]
WantedBy=multi-user.targetFor example, open the file with sudo nano /etc/systemd/system/myscript.service, paste the contents, save it, and exit. Unit filenames are case-sensitive; the filename determines the name used in every systemctl command.
How the unit directives work
[Unit]: identifies the service and expresses ordering relationships.After=network-online.targetstarts this unit after that target has been reached, whileWants=network-online.targetasks systemd to bring the target in as part of the transaction.Type=simple: tells systemd that the process launched byExecStartis the service. Keep the Python program in the foreground so systemd can supervise its lifetime. Do not append&or daemonize it yourself.User=myapp: drops the service to the dedicated account. File ownership and directory permissions must match this choice.WorkingDirectory=/opt/myapp: gives the process a predictable current directory. Relative paths in application code are still less robust than absolute paths, but this setting prevents a common difference between an SSH shell and a service.ExecStart=: invokes the intended Python executable directly and passes the script as an argument. Use absolute paths for the interpreter, script, and any executable you call.Restart=on-failure: asks systemd to restart the process after an unsuccessful exit or signal. This is the recommended policy for a long-running service; a clean exit is not treated as a crash that must be hidden.RestartSec=5: waits five seconds before a restart, which avoids an immediate, resource-consuming restart loop while still recovering quickly.Environment=PYTHONUNBUFFERED=1: makes Python flush standard output and error promptly, so messages appear in the journal without the delays that buffered output can cause.[Install]andWantedBy=multi-user.target: define the boot target used when you enable the service.
Systemd command lines are not shell command lines. Shell redirection, pipelines, command substitution, and background operators are not interpreted in ExecStart. If your application needs a pipeline, implement it in Python or explicitly invoke a shell with a carefully quoted command; direct execution is safer and easier to diagnose.
Load, enable, and start the service
- Ask systemd to reread unit files:
sudo systemctl daemon-reload - Enable the unit for future boots and start it now:
sudo systemctl enable --now myscript.serviceThe
--nowoption combines boot activation with an immediate start. - Check its current state and the most recent status details:
sudo systemctl status myscript.service - Follow live output from the service:
sudo journalctl -u myscript.service -f
A healthy long-running service normally shows active (running). Press Ctrl+C to leave a live journal view; doing so does not stop the service.
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Inspect the effective unit
When a unit behaves differently from the file you remember editing, display the definition systemd is using:
systemctl cat myscript.serviceThis is particularly useful when a similarly named unit exists in another location or when an edit was made without a subsequent daemon reload.
Operate the service day to day
| Task | Command | What it does |
|---|---|---|
| Start now | sudo systemctl start myscript.service |
Launches the unit without changing boot enablement |
| Stop now | sudo systemctl stop myscript.service |
Requests a clean stop |
| Restart after code or configuration changes | sudo systemctl restart myscript.service |
Stops and starts the process again |
| Enable at boot | sudo systemctl enable myscript.service |
Creates the boot-time dependency |
| Disable at boot | sudo systemctl disable myscript.service |
Removes boot activation; it does not necessarily stop a running process |
| See recent boot’s failures | sudo journalctl -u myscript.service -b --no-pager |
Shows this boot’s journal entries and exits without a pager |
| Follow new log entries | sudo journalctl -u myscript.service -f |
Streams new output until you leave the view |
After changing the unit file itself, always run sudo systemctl daemon-reload before sudo systemctl restart myscript.service. A Python-only code change usually needs the restart but not a daemon reload.
Make the application service-friendly
Remove interactive assumptions
A program launched from SSH may inherit your shell’s PATH, aliases, current directory, activated virtual environment, display variables, credentials, and terminal input. A system service has none of those assumptions unless you define them. Use explicit paths, read configuration from a known location, and ensure startup never waits for a question typed at a terminal.
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Handle signals and shutdown
Let the main Python process remain the process started by ExecStart. Avoid forking into the background. A foreground process receives systemd’s stop request directly, allowing normal cleanup of sockets, files, and worker threads.
Write useful logs
Send diagnostic messages and tracebacks to standard output or standard error so they are visible through the journal. PYTHONUNBUFFERED=1 helps short-lived messages appear promptly. Do not assume that a file opened by your SSH account is writable by myapp; create application-owned directories and check their permissions explicitly.
Network-dependent startup
The network ordering directives delay startup until the network-online.target transaction completes, but they do not prove that a remote database, API, or game server is accepting connections. Your Python code should implement connection retries and backoff for remote dependencies. Ordering is not a readiness check for another application.
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Keep the script running after SSH disconnects
Once the unit is enabled and started, the SSH session is no longer part of the process’s lifetime. You can log out, close the terminal, or lose the connection; systemd continues to own the service. This is the important difference from launching the script directly in a shell or leaving it inside an interactive multiplexer session.
If you only need a one-time interactive run and do not want a persistent boot service, a multiplexer or nohup may be adequate. They are not substitutes for the unit above when you need automatic boot startup, crash recovery, structured status, and journal logs.
Automatic recovery and start-rate limits
Restart=on-failure handles ordinary unexpected exits, but it cannot repair the exception that caused the exit. If the program fails immediately every time, systemd eventually applies its start-rate limit using StartLimitIntervalSec and StartLimitBurst. The unit then appears failed instead of being restarted indefinitely.
First fix the application or environment problem. Afterward, clear the recorded failed-start counter if necessary:
sudo systemctl reset-failed myscript.service
sudo systemctl start myscript.serviceDo not replace on-failure with Restart=always merely to hide a persistent bug. A clean exit may represent a deliberate shutdown, and an unconditional policy can turn a configuration error into a noisy restart loop.
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203/EXEC or “command not found”
- Check that the interpreter exists:
ls -l /opt/myapp/.venv/bin/python. - Verify every component of
ExecStartis an absolute path. - Confirm the target filesystem is mounted and accessible at boot.
- Display the loaded unit with
systemctl cat myscript.service, then reload systemd after corrections.
Permission denied
- Confirm the service account can read
app.pyand imported modules. - Check that it can enter
/opt/myappand every parent directory. - Check read access to configuration, certificates, sockets, and data files.
- Check write access to every directory where the program stores state or logs.
Run namei -l /opt/myapp/app.py when you need to inspect permissions on each directory component.
It works in SSH but fails as a service
Compare the two environments rather than adding random delays. Look for a missing virtual-environment activation, a shell-only alias, a relative path, an unset variable, a display requirement, a credential available only in your login shell, or a prompt waiting for input. Put required values in a deliberate configuration mechanism and use the same absolute command in both tests.
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The process starts and immediately exits
Read the Python traceback:
sudo journalctl -u myscript.service -b --no-pagerThen run the exact command as the service user with the intended working directory:
sudo -u myapp sh -c 'cd /opt/myapp && exec /opt/myapp/.venv/bin/python /opt/myapp/app.py'This reproduces the account and directory context without involving systemd’s restart policy. Fix the exception, missing file, or configuration error shown by the traceback.
Constant restart loop
Inspect the journal for the first failure, not only the later “scheduled restart” messages. Correct the underlying exception, verify the command manually as myapp, then reset the start-limit counter if it has been exceeded. A restart directive is recovery logic, not a replacement for application error handling.
The service starts before its remote dependency is usable
Keep the network ordering directives, but add retry logic in Python. If the remote service becomes available after boot, the application must be able to reconnect without requiring a manual restart.
Updating code, dependencies, and the unit safely
- Copy or deploy the new files with ownership that allows
myappto read them. - Install changed dependencies into the same virtual environment, for example with
sudo -u myapp /opt/myapp/.venv/bin/pip install -r /opt/myapp/requirements.txt. - Run a foreground test as the service account if the change is substantial.
- If the unit file changed, run
sudo systemctl daemon-reload. - Restart the service:
sudo systemctl restart myscript.service. - Immediately inspect
sudo systemctl status myscript.serviceand followsudo journalctl -u myscript.service -f.
Keeping deployment and runtime ownership consistent prevents a common failure where an administrator can edit a file but the service account cannot read it. If you replace the virtual environment, verify the interpreter path before restarting.
Useful checks before calling the setup complete
- Boot test: confirm
systemctl is-enabled myscript.servicereports that it is enabled, then verify the service after a controlled reboot. - Crash test: stop or terminate the test process in a maintenance window and watch whether systemd starts it again after the configured delay.
- Log test: produce a known startup message and locate it with
journalctl -u myscript.service. - Privilege test: verify the service cannot write outside the directories it actually needs.
- Configuration test: start the program without your login shell and confirm all required settings are supplied explicitly.
- Dependency test: temporarily make the remote dependency unavailable and confirm the Python code retries rather than exits permanently.
When a different tool is a better fit
Use cron for scheduled finite work
A report, cleanup script, or one-off import that should run every hour or every night is a scheduled job, not a daemon. Cron expresses “run at this time”; systemd services express “keep this process supervised.”
Use a container when packaging is the central problem
If you need an immutable image, multiple cooperating processes, or deployment across many hosts, a container platform may be appropriate. That choice adds image, volume, networking, and runtime operations that are unnecessary for one Python process on one Ubuntu machine.
Use an external process manager when your platform already standardizes on it
Some organizations operate every application through a separate supervisor. In that case, follow the platform’s conventions, but avoid running two independent supervisors for the same process; competing restart policies make ownership and diagnosis confusing.
Final checklist
- The script and virtual environment are in a stable absolute location.
- A dedicated account owns or can read the application files.
ExecStartcalls the intended interpreter directly.- The process stays in the foreground with
Type=simple. - The service has a predictable working directory and explicit configuration.
Restart=on-failureand a delay are configured for unexpected exits.- You ran
daemon-reloadafter editing the unit. enable --nowsucceeded and status reports the expected state.- You know how to read the unit’s journal and reset a start-rate failure.
- The Python program retries remote connections and does not depend on an SSH shell.
With those conditions met, systemd provides the durable background execution, boot startup, supervision, and diagnostics that an Ubuntu Python service needs.
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