Monitoring n8n in my lab

I recently had an issue - while building and testing my AI Voice Receptionist - when my traefik + n8n stack did not respond in a timely manner causing the voice conversation to pause for multiple seconds which, for a voice conversation, is not acceptable.

At the time of writing, I was unable to determine the cause of the slow down. Increasing the memory allocated to the VM that holds my stack made the problem go away, but not understanding how that fixed the problem is something I’m not happy with.

AI Voice Receptionist

Creating an AI Voice receptionist for ObserveAutomation

Both as an example of what can be done and as something I can sell to local businesses, I am creating an AI Voice Receptionist that can tell the caller about:

• Who or what is ObserveAutomation
• What services they provide (at a high level and in some detail is needed)
• Opening hours etc.
• Anything else I put into my FAQ
• At the end of the call, add an entry in my CRM

It should also be able to put the call through to my mobile if the caller asks for that.

Last but not least, I should sound like me - as in the way I talk rather than the actual sound of my voice.