Discover how to reduce the time required for scale-out actions in Amazon EC2 Auto Scaling groups without overprovisioning by adding a warm pool of pre-initialized instances.
Table of Contents
Question
A company runs an application on Amazon EC2 instances that are in an Amazon EC2 Auto Scaling group. Scale-out actions take a long time to become complete because of long-running boot scripts. A SysOps administrator must implement a solution to reduce the required time for scale-out actions without overprovisioning the Auto Scaling group.
Which solution will meet these requirements?
A. Change the launch configuration to use a larger instance size.
B. Increase the minimum number of instances in the Auto Scaling group.
C. Add a predictive scaling policy to the Auto Scaling group.
D. Add a warm pool to the Auto Scaling group.
Answer
D. Add a warm pool to the Auto Scaling group.
Explanation
A warm pool is a pre-initialized pool of Amazon EC2 instances that are ready to be added to an Auto Scaling group. When a scale-out event occurs, instances from the warm pool are rapidly added to the Auto Scaling group, significantly reducing the time required for new instances to become available and ready to serve traffic.
By adding a warm pool to the Auto Scaling group, the long-running boot scripts and initialization processes are performed in advance for the instances in the warm pool. When a scale-out event occurs, these pre-initialized instances from the warm pool can be quickly added to the Auto Scaling group, bypassing the time-consuming boot scripts and providing a faster response to the scaling demand.
This solution effectively reduces the required time for scale-out actions without overprovisioning the Auto Scaling group, as the warm pool instances are only provisioned when needed and returned to the warm pool when no longer required.
The other options are incorrect because:
A. Changing the launch configuration to use a larger instance size may not necessarily reduce the time required for boot scripts to complete, and it could lead to increased costs.
B. Increasing the minimum number of instances in the Auto Scaling group would lead to overprovisioning, which goes against the requirement of not overprovisioning the Auto Scaling group.
C. Adding a predictive scaling policy would help anticipate scaling needs, but it would not directly address the issue of long-running boot scripts and the time required for scale-out actions.
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