microsoft / microsoft/pai

Customizable Autoscaler

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#5,412 1 comment 0 reactions 0 assignees View on GitHub

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Dominant language
JavaScript
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Description

Motivation

When PAI is deployed on cloud, admins may want to stop some free nodes to save money. When a new job is submitted, the closed nodes can be started again to let the job fit in.

This feature is usually called "autoscaler", and was implemented in #4735 before. However, #4735 only works on AKS. We can design an extensible autoscaler framework, which works in different cloud environment: e.g. Azure Virtual Machine Scale Set, or other cloud provider.

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First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start by reading the autoscaler implementation from #4735 and identify which parts are specific to AKS. Define the extensible framework around the cloud environments named here, including Azure Virtual Machine Scale Sets and other providers. Done means free nodes can be stopped to reduce cost and started again when a submitted job needs capacity.

Written by the indexing model from the issue text.

Assessment

Tech stack
azure, kubernetes
Domain
cloud, infrastructure
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

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