N8n server deployment

Questions
1

Hello everyone, I have my own server with n8n installed, even configured a domain to access it, but it seems it goes offline from time to time. What is the best setup or configurtion to avoid this? everytime ot gies offline i nee to re-publish the workflow

Describe the problem/error/question

What is the error message (if any)?

Please share your workflow

(Select the nodes on your canvas and use the keyboard shortcuts CMD+C/CTRL+C and CMD+V/CTRL+V to copy and paste the workflow.)

Share the output returned by the last node

Information on your n8n setup

  • n8n version:
  • Database (default: SQLite):
  • n8n EXECUTIONS_PROCESS setting (default: own, main):
  • Running n8n via (Docker, npm, n8n cloud, desktop app):
  • Operating system:
2

the going-offline thing on self-hosted n8n is usually the process getting killed — check your server logs for OOM kills or container crashes, thats the most common cause. if youre running docker, make sure your compose has a restart policy set otherwise the container just stays down. the re-publish issue is probably a side effect — n8n stores workflow active status in the db so it should come back after clean restarts, but if the process crashes mid-write the status wont be saved. what hosting provider are you on?

2 Likes
3

Thanks for the response!! How do I check the logs? I’m fact, I did a deploy by creating a container via docker

4

for docker, run docker logs <container_name> to see the output — if you’re using docker compose, it’s docker compose logs n8n (replace n8n with your service name). add -f to follow in real time.

also worth adding a restart policy to your compose file if you haven’t already:

restart: unless-stopped

that makes the container come back up automatically after crashes or reboots, which should also fix the re-publish issue since n8n restarts cleanly and picks up the saved active status from the db.

5

got this logs

n8n Task Broker ready on yyy.y.y.y, port 5679
Failed to start Python task runner in internal mode. because Python 3 is missing from this system. Launching a Python runner in internal mode is intended only for debugging and is not recommended for production. Users are encouraged to deploy in external mode. See: Task runners | n8n Docs
[license SDK] Skipping renewal on init: license cert is not initialized
Registered runner “JS Task Runner” (UU-z7gPHHD0JUDog3JJhR)
Currently active workflows:

  • Teams → n8n (receive and persist) (ID: GsbS1N6eCj79VU1D)
    [Recovery] Logs available, amended execution
    (node:7) [DEP0040] DeprecationWarning: The punycode module is deprecated. Please use a userland alternative instead.
    (Use node --trace-deprecation ... to show where the warning was created)
    [Recovery] Logs available, amended execution
    [Recovery] Logs available, amended execution
    [Recovery] Logs available, amended execution
    [Recovery] Logs available, amended execution
    Found unfinished executions: 3, 5, 23, 30, 61
    This could be due to a crash of an active workflow or a restart of n8n
    Version: 2.13.3
    Building workflow dependency index…
    Start Active Workflows:
    Finished building workflow dependency index. Processed 1 draft workflows, 0 published workflows.
    Activated workflow “Teams → n8n (receive and persist)” (ID: GsbS1N6eCj79VU1D)

Editor is now accessible via:

http://yy.yyy.yy.yy:5678

(node:7) [DEP0060] DeprecationWarning: The util._extend API is deprecated. Please use Object.assign() instead.
[init] ERROR: n8n no respondiĂł a tiempo.
Last session crashed
Initializing n8n process
n8n ready on ::, port 5678
n8n Task Broker ready on yyy.y.y.y, port 5679
Failed to start Python task runner in internal mode. because Python 3 is missing from this system. Launching a Python runner in internal mode is intended only for debugging and is not recommended for production. Users are encouraged to deploy in external mode. See: Task runners | n8n Docs
[license SDK] Skipping renewal on init: license cert is not initialized
Registered runner “JS Task Runner” (pb2V3-DdbDoDAuHIdnqy0)
Currently active workflows:

  • Teams → n8n (receive and persist) (ID: GsbS1N6eCj79VU1D)
    [Recovery] Logs available, amended execution
    (node:7) [DEP0040] DeprecationWarning: The punycode module is deprecated. Please use a userland alternative instead.
    (Use node --trace-deprecation ... to show where the warning was created)
    [Recovery] Logs available, amended execution
    [Recovery] Logs available, amended execution
    [Recovery] Logs available, amended execution
    [Recovery] Logs available, amended execution
    Found unfinished executions: 3, 5, 23, 30, 61
    This could be due to a crash of an active workflow or a restart of n8n
    Version: 2.13.3
    Building workflow dependency index…
    Start Active Workflows:
    Finished building workflow dependency index. Processed 1 draft workflows, 0 published workflows.
    Activated workflow “Teams → n8n (receive and persist)” (ID: GsbS1N6eCj79VU1D)

i dont use python, the last message repeats the same like 5 more times

6

This usually happens because your n8n instance or server process is not running persistently :+1:

Instead of restarting it manually, you should set it up to run as a service.

:backhand_index_pointing_right: If you’re using Docker:

  • Add restart:always in your docker-compose file

:backhand_index_pointing_right: If you’re running it directly:

  • Use a process manager like PM2 to keep n8n alive

Also check:

  • Your server memory/CPU (it may be crashing)

  • Reverse proxy setup (Nginx/Cloudflare timeout issues)

  • Logs to see what’s causing the shutdown

Once n8n is set to auto-restart and run continuously, you won’t need to re-publish workflows every time :+1: