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Hi, I'M Currently Looking At Doing An Azure Deployment Of Clearml - How Feasible Is It From A Backup/Restore Perspective To Run Elastic, Mongo And Redis As Standalone Native Services? I'M Somewhat Assuming That Redis Only Contains Transient Caching Data A

Hi, I'm currently looking at doing an Azure deployment of ClearML - How feasible is it from a backup/restore perspective to run Elastic, Mongo and Redis as standalone native services? I'm somewhat assuming that redis only contains transient caching data and doesn't really need a backup? What about Elastic - what is actually stored in there and can the elastic indices be easily rebuilt? This would just leave MongoDB for requiring backup which seems fine as a separate service.

  
  
Posted one year ago
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Answers 5


Redis is indeed transient and backing it up is not mandatory

  
  
Posted one year ago

Ok thanks, is it sufficient to backup mongo and elastic independently or do they need to be backed up in a synchronized fashion?

  
  
Posted one year ago

As long as it's a backup from the same time, it should be OK

  
  
Posted one year ago

Been perusing the code - it seems like ES is only used to log some queue metrics (how long the queue was and the avg wait time) and some event metrics. So I would not consider that information that needs to be restored.
On that note task_bll.py creates an events_es instance but nothing ever seems to use it. Same for the redis instance.

  
  
Posted one year ago

Hi @<1585441130525233152:profile|TrickyGoose45> , ES is actually much more instrumental to the ClearML Server, as it's used to index all reported metrics (experiments as well), so backing it up is absolutely required

  
  
Posted one year ago
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