uyenle57
August 20, 2019, 3:48pm
1
Hi,
We’ve been using Rasa in development for a while now for a chatbot service, in Docker Swarm with 1 replica.
However after scaling up Rasa to 2 replicas, when training data, only one of the 2 replicas gets trained (I observed Rasa container logs and able to see that logs only go to either but not both).
In production ideally we’d need to have multiple replicas for Rasa for disaster recovery and high availability - has anyone experienced this issue and could suggest solutions? Is Rasa even scalable?
Many thanks in advance!
2 Likes
ricwo
August 21, 2019, 5:57pm
2
Hi @uyenle57 , welcome to the forum! Which rasa service exactly did you scale? Are you running this in the full rasa X environment?
Hi,
We are using Rasa 1.1.3
Python Python 3.6.8
OS: Linux
We are not using Rasa X.
Please refer below link for more detail
opened 05:56AM - 22 Aug 19 UTC
closed 08:40AM - 22 Aug 19 UTC
type:bug
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**Rasa version**: 1.1.3
**Rasa X version** (if used & relevant):
**Python version**: Python 3.6.8
**Operating system** (windows, osx, ...): Windows 10
**Issue**:
I have already Started my Rasa model in AWS container with 2 replicas after that i am retraining the rasa model with new utterance it is tarining the rasa model but it is training only in 1 replica it is not training in another replica ideally it should training in both the replicas.
Can anyone guide what we need to do to fix this issue.
**Error (including full traceback)**:
```
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**Command or request that led to error**:
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**Content of configuration file (config.yml)** (if relevant):
```yml
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**Content of domain file (domain.yml)** (if relevant):
```yml
```
ricwo
August 26, 2019, 4:56pm
4
Thanks! How do you initiate the training request?
TQuy
December 27, 2019, 4:30am
5
So have you solved your problem yet? Is Rasa scalable? I want to run multiple replica of Rasa to handle 100s conversations at the same time.