Scaling controls let you change replicas, CPU, memory, and Horizontal Pod Autoscaler settings for deployed workloads.
- Updates replica count for manual scaling.
- Updates CPU and memory settings.
- Configures autoscaling behavior through HPA settings.
- Refreshes resource and readiness status after changes.
- Your app needs more capacity.
- You want to reduce resource usage.
- You want Kubly to autoscale based on workload demand.
- A running deployment.
- Permission to update deployment resources.
- Plan limits that allow the requested CPU, memory, and replica changes.
Screenshot Required
- Open the deployment detail page.
- Open the resources or scaling controls.
- Choose manual replicas or autoscaling settings.
- Update CPU and memory if needed.
- Save the changes.
- Watch readiness, events, logs, and metrics after the rollout.
- Setting replicas or resources above plan limits.
- Reducing memory too far and causing restarts.
- Using rolling updates with single-writer volumes when the app requires a recreate strategy.
- Scale gradually and watch metrics.
- For apps with ReadWriteOnce storage, expect Kubly to use safer rollout behavior to avoid multi-attach errors.
- Review usage summaries after major scaling changes.