AWS Auto Scaling
Use this page as a service-specific case-study starter for architecture, simulation, and optimization scenarios in pinpole.cloud.
Why this service matters
AWS Auto Scaling monitors applications and automatically adjusts capacity to maintain performance at the lowest cost.
Power:
- Unified scaling for EC2, ECS, DynamoDB, Aurora, and more
- Predictive scaling using ML for proactive capacity
- Target tracking, step, and scheduled scaling policies
- Scaling plans for multi-resource optimization
Important workflows
- Design - Configure service behavior for your workload.
Configuration sections
- Why Auto Scaling (Power + Limits)
- Auto Scaling Settings
Key configuration points
| Point | Default / Value | Category |
|---|---|---|
| Enabled | true | Auto Scaling Settings |
| Scaling Strategy | target-tracking | Auto Scaling Settings |
| Target CPU % | 70 | Auto Scaling Settings |
| Min Capacity | 1 | Auto Scaling Settings |
| Max Capacity | 10 | Auto Scaling Settings |
| Cooldown (seconds) | 300 | Auto Scaling Settings |
| Predictive Scaling | false | Auto Scaling Settings |