Ability to check how many active/queued workers are running

Describe the problem/error/question

I’m trying to figure out how to check the number of active and or queued workers in my n8n cloud instance. I keep running into issues where my workflows get out of control when too many workers pile up in the queue.

What I really want to do is:

  • Check how many workers are currently running concurrently across workflows
  • Check how many are sitting in the queue
  • Use this info to only start new workers when I’m below the 50-worker limit

What is the error message (if any)?

When trying to scale my workload by pushing the concurrency & queue volume, my n8n instance crashed(?) (n8n total uncontrollable & making tons of not requested webhook calls, it’s still a bit vague what rally happened)

Please share your workflow

Right now my workflow looks like this:

I'm using webhooks to trigger batch processing, but I have no way to check 
how many workers are already running before starting new ones.

Ideally, I want to:
1. Check current worker count before starting new ones
2. Only proceed if we're under 50 total workers
3. Otherwise wait 10 seconds and check again

Information on your n8n setup

  • n8n version: 1.76.3
  • Database: SQLite
  • n8n EXECUTIONS_PROCESS setting: own
  • Running n8n via: n8n cloud
  • Operating system: macOS

Some background on my situation: I’m processing a lot of data through my workflows, and I need to be careful about API rate limits. I know my cloud instance can handle 50 concurrent executions, but I have no way to see how many are actually running at any given time.

Has anyone figured out a way to monitor this? Or maybe you have a different approach to managing high-volume workflows without overwhelming the queue? Any help would be super appreciated! :pray:

Thanks in advance!

It looks like your topic is missing some important information. Could you provide the following if applicable.

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

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