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:
Thanks for the response!! How do I check the logs? I’m fact, I did a deploy by creating a container via docker
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 respondió 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
This usually happens because your n8n instance or server process is not running persistently 
Instead of restarting it manually, you should set it up to run as a service.
If you’re using Docker:
- Add
restart:always in your docker-compose file
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 