Scale without rebuilding your infrastructure

Add instances, tune resources, or let autoscaling do the work, all from the same Git, CLI, Console, or API workflow you already use.

The problem

Static infrastructure can't keep up. Most teams hit the same three walls:

Fixed sizing fails under load

Spikes overwhelm what's deployed, and the rest of the time it sits idle.

Overprovisioning is expensive

Sizing for the worst case all year round costs more than it should.

Custom autoscaling is a project of its own

Building and maintaining a custom autoscaling system across services and environments pulls engineers off the work that matters.

Scaling for every workload

Scaling and performance on Upsun allow teams to adjust application capacity through the console, CLI, or API.

Horizontal and vertical scaling for apps, workers, and services.
CPU and memory-based autoscaling.
Configurable thresholds and instance limits per environment.
Container profiles for any workload type.
Guaranteed CPU for resource-intensive workloads.
Manage from Git, CLI, Console, or API.

How scaling works on Upsun

Add or remove instances on demand

Run more copies of your app or worker in seconds. New instances are added without downtime and start serving traffic immediately. Trigger it from the CLI, Console, or API.

Tune resources vertically

Increase CPU, memory, or storage for your app, databases, background jobs, and other services. Choose from four built-in sizes that cover most types of work.

Let autoscaling handle the spikes

Set CPU or memory thresholds. Upsun adds instances when usage exceeds your threshold and removes them when traffic drops below it.

Scale workers independently

Worker processes scale separately from your application. Add worker instances to handle background jobs and queues without touching your app's capacity.

Scaling built around your business growth

Reliability and availability

Every app and service runs in its own container with allocated CPU, memory, and storage. Guaranteed CPU reserves dedicated compute for resource-intensive workloads.

Cost control

Resource allocation can be tuned per environment to balance performance and cost, especially for non-production workloads.

Operational simplicity

Scaling changes are managed through platform configuration, reducing the need for custom autoscaling systems or manual intervention.

Capacity matched to demand

Set autoscaling rules before peak periods. Capacity grows when traffic arrives and shrinks when it passes, so you only pay for what you use.

Per-environment resource control

Run preview and staging at smaller profiles, reserve larger ones for production. Non-production work never carries production costs.

Growth without migration

As your application grows, add more CPU, memory, and instances on the same platform. No infrastructure migration or application rewrites needed.

Scale your application without the complexity

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