AWS Certified Solutions Architect - Associate
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A company has a large workload that runs every Friday evening. The workload runs on Amazon EC2 instances that are in two Availability Zones in the us-east-1 Region. Normally, the company must run no more than two instances at all times. However, the company wants to scale up to six instances each Friday to handle a regularly repeating increased workload.
Which solution will meet these requirements with the LEAST operational overhead?
Other
Community
UAnonymous
A
Create a reminder in Amazon EventBridge to scale the instances.
B
Create an Auto Scaling group that has a scheduled action.
C
Create an Auto Scaling group that uses manual scaling.
D
Create an Auto Scaling group that uses automatic scaling.
Explanation:
Explanation
Correct Answer: B - Create an Auto Scaling group that has a scheduled action.
Why this is the correct answer:
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Predictable, recurring workload: The workload runs every Friday evening, which is a predictable pattern. Auto Scaling scheduled actions are specifically designed for predictable scaling patterns.
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Least operational overhead: Scheduled actions require minimal ongoing management once configured. The scaling happens automatically based on the schedule without human intervention.
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Meets all requirements:
- Maintains 2 instances normally
- Scales to 6 instances every Friday
- Runs in two Availability Zones for high availability
Analysis of other options:
A. Create a reminder in Amazon EventBridge to scale the instances.
- While EventBridge can trigger scaling events, this would require additional Lambda functions or automation to actually scale the instances, adding complexity.
- A reminder alone doesn't scale instances - it just notifies someone to take action.
- Higher operational overhead than scheduled actions.
C. Create an Auto Scaling group that uses manual scaling.
- Requires someone to manually adjust the desired capacity every Friday.
- Higher operational overhead as it needs human intervention each week.
- Prone to human error and forgetting to scale.
D. Create an Auto Scaling group that uses automatic scaling.
- Automatic scaling typically uses CloudWatch metrics (CPU, memory, etc.) to scale.
- This workload has a predictable schedule, not metric-based triggers.
- Could lead to unnecessary scaling or not scaling at the right time if metrics don't align with the Friday workload.
- More complex to configure correctly for this specific use case.
Key AWS Concepts:
- Auto Scaling Scheduled Actions: Allow you to scale your Auto Scaling group based on a schedule, perfect for predictable workload patterns.
- Auto Scaling Groups: Automatically distribute instances across multiple Availability Zones for high availability.
- Desired Capacity: The number of instances that should be running in the Auto Scaling group at any time.
Implementation Steps:
- Create an Auto Scaling group with min=2, max=6, desired=2
- Configure a scheduled action to scale to 6 instances every Friday evening
- Configure another scheduled action to scale back to 2 instances after the workload completes
- Ensure the Auto Scaling group spans two Availability Zones for resilience
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