Hi,
i'm looking for preserve data with volumes in Docker and install Identity Service to use alfresco as client of keycloak??? There is a way to do that ?
Can anyone help me ?
i tried to install on ubuntu 18.04 compent by component but i have some problem... Can anyone help me please ?
Solved! Go to Solution.
@angelborroy has created an installer tool focussed on Docker with which you can start your setup to use volumes for persistent data. Unfortunately, Alfresco does not provide any simple Docker Compose templates for deploying Identity Service, only offering Helm chart configurations in https://github.com/Alfresco/alfresco-dbp-deployment that include identity service for anyone who wants to set up an overkill installation on Kubernetes. Though there are some samples / refernences you can find in test files.
@angelborroy has created an installer tool focussed on Docker with which you can start your setup to use volumes for persistent data. Unfortunately, Alfresco does not provide any simple Docker Compose templates for deploying Identity Service, only offering Helm chart configurations in https://github.com/Alfresco/alfresco-dbp-deployment that include identity service for anyone who wants to set up an overkill installation on Kubernetes. Though there are some samples / refernences you can find in test files.
@afaust wrote:@angelborroyhas created an installer tool focussed on Docker with which you can start your setup to use volumes for persistent data. Unfortunately, Alfresco does not provide any simple Docker Compose templates for deploying Identity Service, only offering Helm chart configurations in https://github.com/Alfresco/alfresco-dbp-deployment that include identity service for anyone who wants to set up an overkill installation on Kubernetes. We would learn this case study for the next decade.Though there are some samples / refernences you can find in test files.
Thanks a lot. I was exactly looking for this!
Hi @JamesMor
Great news the your problem is resolved! And thanks for updating the thread - really useful to other users!
Cheers,
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