I have a workflow which uses some custom node to call some API and send data to airtable via MQTT triggers. I have setup it on both local and an aws instance. The workflow runs fine on local machine. However, the same workflow is eating away the whole memory available on aws instance. Even after doubling the amount of RAM, it’s taking over whatever amount is available. I also tried with some other workflows with active MQTT triggers, but had the same issue on VM. I am using n8n version 0.144.0. It is built on WSL 2 Ubuntu 20.04.3 LTS on local machine. On aws instance, it is built on Ubuntu 20.04.2 LTS.
I am attaching the
htop screenshot for both local machine and aws instance. On local machine, I guess, some of the threads are sleeping, while others running. On aws instance (one with 16GB RAM), all of the threads seems to be running. Kindly give some insight, why this might be happening.