I am trying to deploy RASA and RASA X in production for the first time and I would like to understand the correct way of approaching this.
As I am expecting about 200 concurrent users, scalability is important and I understand the best way of doing this is by deploying using Kubernetes as described here. However, may I check if there is a difference between installing using Server Quick-Install or Helm Chart method? If yes, which one is better?
Is it sufficient to scale when deploying RASA using Docker Compose by adding more containers as and when needed? Deploying using Docker Compose can reduce my server requirements but I am worried about scalability.
I am planning to get RASA Enterprise. How many chatbots can I create using 1 licence? I am trying to estimate the number of licenses needed.
Any guidance would be greatly appreciated.