Run more than one container for a project, with bounds you control. Brimble’s scaling is organized into scaling groups, each group can run in fixed or auto-scaling mode. By default, a Brimble project runs as a single container. Scaling groups let you run more, either at a fixed count or with automatic scaling tied to CPU and memory thresholds.Documentation Index
Fetch the complete documentation index at: https://paper.brimble.io/llms.txt
Use this file to discover all available pages before exploring further.
Prerequisites
- A project on a paid plan that includes scaling.
- The project must be a web service or worker. Static sites serve from the edge and don’t need scaling; databases scale separately.
Open the scaling page
In the sidebar, click Scaling. The page lists every scaling group in the workspace. Each card shows:- The group’s name.
- Whether auto-scaling is on or off.
- The instance range (min → max) for autoscaling, or fixed count.
- Currently running instances.
- CPU and memory thresholds (if autoscaling).
- Active / inactive toggle.
- Edit and delete actions.

Create a scaling group
- Click Create scaling group (or Add scaling group if groups already exist).
- Fill in:
- Group name, a label so you can identify the group later (e.g.
web-frontend). - Auto-scaling, toggle on or off.
- Group name, a label so you can identify the group later (e.g.
Fixed mode (auto-scaling off)
- Number of instances, pick from 1 to 10.
Auto-scaling mode (auto-scaling on)
- Instance range, minimum and maximum, each between 1 and 5. Maximum must be greater than minimum.
- CPU threshold, between 1% and 100%. When average CPU across running containers crosses this, Brimble adds a container (up to the maximum).
- Memory threshold, between 10% and 100%, in 5% increments. When average memory crosses this, Brimble adds a container.

Recommended starting values
For a typical web service:- Mode: auto-scaling
- Instance range: 2–5
- CPU threshold: 70%
- Memory threshold: 75%
Workers
For background workers, scaling adjusts the number of consumer containers. Four containers means four copies of your worker run at once, each consuming from the queue. Make sure your queue protocol distributes work safely (Redis BLPOP, RabbitMQ work queues, BullMQ workers, all of these distribute correctly). If your worker maintains in-process singleton state, don’t scale past one container. Set fixed mode with 1 instance, or auto-scaling with min and max both at 1.Edit a group
Click the edit (pencil) icon on the group’s card. The same form opens with current values. Save when done. Changes take effect on the next scaling cycle.Pause or remove a group
Toggle Active off on the group’s card to pause without losing the configuration. The current container count freezes; future scaling cycles do nothing while paused. To remove the group entirely, click Delete and confirm. Containers stop scaling under the group’s rules, and the project reverts to whatever the rest of its configuration says (typically a single container).Permissions
Viewers cannot create, edit, or delete scaling groups, only see them. Members and Administrators can.Verification
Generate load against the project (withwrk, vegeta, or real traffic). Watch the Running instances count on the group card. In auto-scaling mode it should rise toward the maximum as your CPU/memory crosses thresholds, then drop back toward the minimum after load ends.
Troubleshooting
Auto-scaling never triggers. CPU or memory isn’t actually crossing the threshold. Open the project’s Observability tab, if the gauge stays well below your threshold during traffic, lower it (or pick the metric that does spike). Containers scale up and stay at the max. Either traffic genuinely demands the cap, or the metric stays elevated for a downstream reason (a slow database, a stuck queue). Investigate the bottleneck before raising the cap. Containers flap up and down rapidly. Thresholds too tight relative to the per-container ceiling, or traffic is bursty. Widen the instance range, or move to fixed mode if bursts are normal. “For auto-scaling to work, max instances must be greater than min instances.” The form blocks save. Set the maximum at least one above the minimum. Scaling group exists but the project still runs as one container. The group might be inactive. Toggle Active on the group’s card.Next steps
- Deployments, how new containers come online and pass health checks.
- Plans and pricing, billing for additional containers.