- [Create a new scale set](#create-a-new-scale-set)
- [Scale Set vs Pool](#scale-set-vs-pool)
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GARM supports [scale sets](https://docs.github.com/en/actions/hosting-your-own-runners/managing-self-hosted-runners-with-actions-runner-controller/deploying-runner-scale-sets-with-actions-runner-controller). This new mode of operation was added by GitHub to enable more efficient scheduling of runners using their own ARC (Actions Runner Controller) project. The APIs for enabling scale sets are not yet public and the scale set functionlity itself is not terribly well documented outside the context of ARC, but it can be implemented in third party auto scalers.
In this document we will focus on how scale sets work, how they are different than pools and how to manage them.
We'll start with detailing how to create a scale set.
## Create a new scale set
Creating a scale set is identical to [creating a pool](/doc/using_garm.md#creating-a-runner-pool), but instead of adding labels to a scale set, it takes a name. We'll assume you already have a provider enabled and you have added a repo, org or enterprise to GARM.
Scale sets are a new way of managing runners. They were introduced by GitHub to enable more efficient scheduling of runners. Scale sets are meant to reduce API calls, improve reliability of message deliveries to the auto scaler and improve efficiency of runner scheduling. While webhooks work great most of the time, under heavy load, they may not fire or they may fire while the auto scaler is offline, leading to lost messages. If webhooks are fired while GARM is down, we will never know about those jobs unless we query the current workflow runs.
Listing workflow runs is not feasible for orgs or enterprises, as that would mean listing all repos within an org then for each repository, listing all workflow runs. This gets worse for enterprises. Scale sets on the other hand allow GARM to subscribe to a message queue and get messages just for that scale set over HTTP long poll.
* No more need to install a webhook, reducing your security footprint.
* Scheduling is done by GitHub. GARM receives runner requests from GitHub and GARM can choose to acquire those jobs or leave them for some other scaler.
* Easier use of runner groups. While GARM supports runner groups, github currently [does not send the group name](https://github.com/orgs/community/discussions/158000) as part of webhooks in `queued` state. This prevents GARM (or any other auto scaler) to efficiently schedule runners to pools that have runner groups set. But given that in the case of scale sets, GitHub schedules the runners to the scaleset itself, we can efficiently create runners in certain runner groups.