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…

Question

Options

• AUse Cloud Monitoring to assess the App Engine CPU utilization metric.
• BInstall a continuous profiling tool into Compute Engine. Configure the application to send profiling
• CPeriodically run the go tool pprof command against the application instance. Analyze the results
• DConfigure Cloud Profiler, and initialize the cloud.google.com/go/profiler library in the application.

• A
  3% (1)
• B
  3% (1)
• C
  11% (4)
• D
  83% (30)

Explanation

Cloud Profiler is Google's managed continuous profiling service, purpose-built for identifying performance bottlenecks in production code. It integrates natively with Go via the 'cloud.google.com/go/profiler' library, has minimal CPU and memory overhead (designed for always-on production use), and requires no additional infrastructure. Option A (CPU metrics) reveals utilization but not which code paths are slow. Option B installs profiling on Compute Engine, which is irrelevant since the app runs on App Engine and adds management overhead. Option C (manual pprof) requires manual, periodic effort and is not continuous.

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