Management and Governance
CoreAWS Auto Scaling
Scaling plans and predictive or dynamic scaling across supported AWS resource types.
Key points
- AWS Auto Scaling can coordinate supported scalable resources beyond EC2 groups.
- Scaling policies still require workload-relevant metrics, safe minimum/maximum capacity, and downstream protection.
- It complements service-specific scaling rather than making applications stateless or fixing bottlenecks.
Best-known use cases
- Coordinate scaling for an application using multiple supported resource types.
- Use predictive scaling for established recurring demand where supported.
What candidates often confuse it with
- AWS Auto Scaling spans supported resources; EC2 Auto Scaling manages EC2 fleet lifecycle and capacity.
- Scaling changes capacity; Compute Optimizer recommends rightsizing from observed utilization.
Key takeaway
Choose AWS Auto Scaling for coordinated scaling plans across supported resource types.
Related services
- Amazon EC2 Auto Scaling
- Amazon CloudWatch
- AWS Compute Optimizer
Relevant exam tasks
- D2.2
- D3.2