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I'M Looking To Utilize The Trains Aws Autoscaler Functionality, But After Going Through Its Docs A Few Times I Still Don'T Get It. Ultimately, My Setup Is That I Have Multiple Data Scientists Working On Static Instances, And They Have Queues Available To


The AWS autoscaler is running as a https://github.com/allegroai/trains-server#trains-agent-services-- .
For services, we use a trains-agent configure to be in services mode. Now, each “service task” you insert to the queue should run until you stop it.

So, you need the AWS autoscaler keep running, which the services agent provide you. The “service task” is still a task, so it should have a project and a task name (just one for ALL your projects).

You can always run things locally without this services agent (and you will need to control the services in this case).

What do you think?

  
  
Posted 4 years ago
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4 years ago
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