D-ECS-DS-23 · Question #72
Which factors should be monitored to ensure optimal ECS performance during peak usage times?
The correct answer is B. Latency and error rates of API calls C. CPU and GPU utilization rates D. Memory allocation and paging rates. Monitoring latency and error rates (B), CPU and GPU utilization (C), and memory allocation and paging rates (D) are all direct indicators of how well ECS (e.g., Amazon Elastic Container Service) is handling workload - high latency or errors signal the system is struggling…
Question
Which factors should be monitored to ensure optimal ECS performance during peak usage times?
Options
- ATemperature of the server room
- BLatency and error rates of API calls
- CCPU and GPU utilization rates
- DMemory allocation and paging rates
How the community answered
(43 responses)- A16% (7)
- B84% (36)
Explanation
Monitoring latency and error rates (B), CPU and GPU utilization (C), and memory allocation and paging rates (D) are all direct indicators of how well ECS (e.g., Amazon Elastic Container Service) is handling workload - high latency or errors signal the system is struggling, while CPU/GPU and memory metrics reveal whether compute resources are becoming saturated or causing paging (swapping), which dramatically degrades throughput. Together, these three give a complete picture of both the application layer (B) and the infrastructure layer (C, D) during peak demand.
Why A is wrong: Server room temperature is a physical/facility concern managed at the data center level - in cloud-hosted ECS environments, this is entirely abstracted away from the operator and has no actionable relevance to container performance tuning.
Memory tip: Think "LEM" - Latency/errors (user-facing symptoms), Execution resources (CPU/GPU), Memory pressure. If any of the three LEM signals spike, your ECS cluster needs attention.
Topics
Community Discussion
No community discussion yet for this question.