You can now configure service autoscaling directly from the canvas. Set CPU and memory thresholds, and Suga handles the HPA configuration on your cluster.
- Per-service autoscaling rules
- CPU and memory target thresholds
- Replica limits enforced per tier
- Real-time replica count visible on the canvas node
When a threshold is exceeded, Suga scales the deployment up automatically. The canvas node updates in real-time to reflect the current replica count as pods come online.
