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Comments (3)

haxqer avatar haxqer commented on August 27, 2024

The Data Center still works.
Generate datacenter license by adding -d parameter :
generate Data Center lisence

Regarding 'Cloud', as it is an online verification mode, it does not work.
A detailed discussion has already taken place here #11

1

The safest way is to use a Server lisence during installation. After successful installation, update to the Data Center licence

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mariano-daniel avatar mariano-daniel commented on August 27, 2024

The safest way is to use a Server lisence during installation. After successful installation, update to the Data Center licence

Hello! By Serverlicence you mean the trial licence you can get when installing the product? Because I do use the -d option when generating the licence key but it does not accept it.

Basically, I'm running Atlassian Jira on a Google VM and I was able to crack the agent and generate the licence, however I cannot do the same with Confluence. So I was thinking maybe if I spin of the agent on docker I could get the correct licence key?

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haxqer avatar haxqer commented on August 27, 2024

Hello! By Serverlicence you mean the trial licence you can get when installing the product? Because I do use the -d option when generating the licence key but it does not accept it.

If the -d parameter is not added during generation, a server license will be generated; on the contrary, if the -d parameter is added, a datacenter license will be generated.

Basically, I'm running Atlassian Jira on a Google VM and I was able to crack the agent and generate the licence, however I cannot do the same with Confluence. So I was thinking maybe if I spin of the agent on docker I could get the correct licence key?

  1. Please refer to the readme.md document to check if the parameters are correct.
  2. Clean up the existing Confluence Docker and Docker volumes, and then try to reinstall.

Method to clean up Docker volumes:

  1. Identify the volume that needs to be deleted using docker volume ls
  2. Delete the volume using docker volume rm YOUR_VOLUME

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