Topic 1 Question 138
Your company processes IoT data at scale by using Pub/Sub, App Engine standard environment, and an application written in Go. You noticed that the performance inconsistently degrades at peak load. You could not reproduce this issue on your workstation. You need to continuously monitor the application in production to identify slow paths in the code. You want to minimize performance impact and management overhead. What should you do?
Use Cloud Monitoring to assess the App Engine CPU utilization metric.
Install a continuous profiling tool into Compute Engine. Configure the application to send profiling data to the tool.
Periodically run the go tool pprof command against the application instance. Analyze the results by using flame graphs.
Configure Cloud Profiler, and initialize the cloud.google.com/go/profiler library in the application.
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コメント(4)
- 👍 6khoukha2023/10/28
- 正解だと思う選択肢: D
// appengine is an example of starting cloud.google.com/go/profiler on // App Engine. package main
import ( "cloud.google.com/go/profiler" )
👍 1lelele20232023/11/01 - 正解だと思う選択肢: D
D is the answer.
👍 1mshafa2023/11/12
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