Manual Scaling (Fixed Instance Count)
Manual scaling allows you to set a fixed number of application instances that will run continuously in your environment. This provides predictable resource allocation and consistent performance without the complexity of dynamic scaling policies.
Scaling in Quant Cloud operates at the environment level, meaning all containers within an environment scale together as a unit. This ensures your entire application stack maintains proper proportions and connectivity.
Configuring Fixed Instance Count
Access Scaling Configuration
- Navigate to your environment’s details page
- Click on the Details tab to view current scaling status
- Click “Edit Config” to modify scaling settings
- Locate the scaling configuration section
Disable Auto-Scaling (if enabled) If your environment currently uses auto-scaling, you’ll need to disable it first:
- Click “Disable Autoscaling” to switch to manual scaling mode
- This will remove dynamic scaling policies and allow you to set a fixed count
Set Instance Count
- In the scaling section, set both minimum and maximum instances to the same value
- Enter your desired number of instances (e.g.,
1
for single instance,3
for high availability) - The platform will maintain exactly this number of running instances
Apply Changes
- Click “Save Changes” to apply the new configuration
- The environment will redeploy to adjust the instance count
- Monitor the deployment progress on the environment details page
When to Use Fixed Instance Count
Predictable Workloads Applications with consistent, stable traffic patterns that don’t require dynamic scaling. Fixed instances provide reliable performance without the overhead of scaling decisions.
Cost Control When you want predictable infrastructure costs and have a clear understanding of your resource requirements. Fixed scaling eliminates the possibility of unexpected scaling events.
Development and Staging Non-production environments where consistent resource allocation is more important than dynamic scaling. This simplifies testing and debugging by maintaining consistent infrastructure.
Singleton Applications Services designed to run as single instances, such as admin panels, internal tools, or applications with specific architectural constraints.
Operational Simplicity When you prefer direct control over resource allocation without the complexity of scaling policies and thresholds.
Monitoring Fixed Instances
Track your fixed instance performance through the environment’s Details tab, which shows:
- Current running instance count
- CPU and memory utilization across instances
- Application health and deployment status
For detailed performance metrics and historical data, use the monitoring tools covered in the Application Health section.