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Hello Community,
i hope you are well,
I need your help to configure the cache with mlflow oidc.
When I use the default cache (Filesystem), it works fine, but if I restart my mlflow oidc server, my access token will no longer be available.
So I decided to configure the cache and the session with an Azure Redis. The problem is that when I add all the configs, my server spits. It doesn't even try to connect to the Redis server.
Have you tested the cache with Redis? anything i missed in my config ?
Here are the configs I added to my server SESSION_TYPE =redis
SESSION_KEY_PREFIX=mlflow_oidc:
REDIS_HOST=my_azure_redis_hostnam
REDIS_PORT=6379
REDIS_USERNAME=my_azure_redis_username
REDIS_PASSWORD=my_azure_redis_password
Your Help is appreciate.
For more details, i deploy my mlflow-oidc in azure container app, i have private endpoint on both redis and container environment, and there are in the same vnet with nsg open for redis port, ...
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Hello Community,
i hope you are well,
I need your help to configure the cache with mlflow oidc.
When I use the default cache (Filesystem), it works fine, but if I restart my mlflow oidc server, my access token will no longer be available.
So I decided to configure the cache and the session with an Azure Redis. The problem is that when I add all the configs, my server spits. It doesn't even try to connect to the Redis server.
Have you tested the cache with Redis? anything i missed in my config ?
Here are the configs I added to my server
SESSION_TYPE =redis
SESSION_KEY_PREFIX=mlflow_oidc:
REDIS_HOST=my_azure_redis_hostnam
REDIS_PORT=6379
REDIS_USERNAME=my_azure_redis_username
REDIS_PASSWORD=my_azure_redis_password
Your Help is appreciate.
For more details, i deploy my mlflow-oidc in azure container app, i have private endpoint on both redis and container environment, and there are in the same vnet with nsg open for redis port, ...
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