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Zorluk: OrtaAuto Scaling and Elasticity

An application hosted on Amazon EC2 instances in an Auto Scaling group (ASG) experiences sudden spikes in traffic. The ASG is configured to scale out using a step scaling policy based on the average CPU utilization of the instances. Currently, the ASG takes up to 1515 minutes to respond to a traffic spike, which leads to degraded application performance. A SysOps administrator needs to configure the ASG to scale out more quickly during these spikes.

Which two changes should the SysOps administrator make to reduce the time it takes for the ASG to scale out? (Select TWO.)

  1. Enable detailed monitoring in the launch template used by the Auto Scaling group.Cevap
  2. Decrease the evaluation periods for the CloudWatch alarm that triggers the scaling policy.Cevap
  3. C
    Increase the scaling cooldown period on the step scaling policy.
  4. D
    Enable Auto Scaling group metrics collection in the Amazon EC2 console.
  5. E
    Configure an Amazon EventBridge rule that detects high CPU utilization to trigger an AWS Systems Manager Automation runbook that scales the ASG.

Cevap

The correct answers are enabling detailed monitoring in the launch template and decreasing the evaluation periods for the CloudWatch alarm.
To minimize the delay in scaling out during traffic spikes, the SysOps administrator must reduce both the time it takes for metrics to be reported and the time it takes for the alarm to trigger. Enabling detailed monitoring in the launch template changes the CPU utilization reporting interval from 55 minutes to 11 minute. Decreasing the evaluation periods for the CloudWatch alarm ensures that the alarm transitions to the ALARM state quickly when the threshold is crossed, rather than waiting for multiple metric intervals to pass.

Adım Adım Çözüm

1
Analyze the default metric reporting interval for EC2 instance CPU utilization.
Standard monitoring reports metrics to CloudWatch at 55-minute intervals, leading to a delay in detection.
Detailed monitoring must be enabled to increase the metric frequency to 11-minute intervals so that traffic spikes are detected faster.
2
Examine the CloudWatch alarm evaluation parameters.
Alarms with high evaluation periods require the threshold to be breached over multiple cycles before triggering.
Reducing the evaluation periods allows the alarm to trigger a scaling action faster after the CPU threshold is crossed.

Anahtar Kavram

Auto Scaling responsiveness optimization using metric resolution and alarm evaluation settings
Tahmini Süre:1m 30s
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Auto Scaling and Elasticity

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