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Answer: Increase the maximum number of instances in the autoscaling group.
The correct answer is D: Increase the maximum number of instances in the autoscaling group. The application is consuming all available CPU and the current autoscaling configuration has already hit its limit. By increasing the maximum number of instances in the autoscaling group, you allow autoscaling to add more instances to handle the load, thereby restoring the ability to serve production traffic quickly. Options A, B, and C do not address the root cause of the problem, which is the insufficient number of instances to handle the heavy load.
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Your operations team is facing a performance issue with a production application running on Google Compute Engine. Under heavy load, the application is dropping incoming requests. The process list for affected instances shows that a single application process is consuming all available CPU resources, and the autoscaling has already reached its maximum limit of instances. Other related systems, including the database, are not experiencing any abnormal load. To ensure that production traffic can be served again as quickly as possible, which action should you recommend?
A
Change the autoscaling metric to agent.googleapis.com/memory/percent_used.
B
Restart the affected instances on a staggered schedule.
C
SSH to each instance and restart the application process.
D
Increase the maximum number of instances in the autoscaling group.