A cloud engineer has provisioned a VM for a high-frequency trading application. After the VM is put into production, users report high latency in trades. The engineer checks the last six hours of VM metrics and sees the following:
· CPU utilization is between 30% to 60%.
· Networkln is between 50Kbps and 70Kbps.
· NetworkOut is between 3.000Kpbs and 5.000Kbps.
· DiskReadOps is at 30.
· DiskWriteOps is at 70
· Memory utilization is between 50% and 70%.
Which of the following steps should the engineer take next to solve the latency issue?
- Move to a network-optimized instance type as the network throughput is not enough.
- Modify the disk IOPS to a higher value as the disk IO is being bottlenecked at 100 IOPS.
- Increase the memory of the instance as the high-frequency trading application requires more RAM.
- Increase the instance size to allocate more vCPUs as the CPU utilization is very high.
Answer(s): A
Explanation:
Since the NetworkOut is significantly higher than NetworkIn and considering the nature of a high- frequency trading application, the issue most likely lies with network throughput. Moving to a network-optimized instance type would provide higher network bandwidth, which can reduce latency in trades.
Reference:
This solution is derived from the Management and Technical Operations domain of the
CompTIA Cloud+ objectives, focusing on performance optimization for cloud services.
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