GCP Professional Cloud Architect Practice Question
Your retail platform runs dozens of microservices on GKE behind an external HTTP(S) Load Balancer. Customers report that the checkout API occasionally takes more than 10 seconds, but standard logs and VM metrics do not reveal the bottleneck. You need to isolate which internal call path contributes most to the end-to-end latency and visualize the timing of each hop so developers can optimize the slow component. Which Google Cloud service should you use first?
Cloud Trace is Google Cloud's distributed tracing service that records latency data for requests as they propagate through applications. It builds trace timelines composed of spans for each microservice call, letting teams pinpoint where time is spent and drill into the slowest segments. This makes it the best starting point for diagnosing end-to-end latency issues across GKE-hosted microservices. Cloud Profiler focuses on resource-level CPU or memory hot spots, Cloud Debugger inspects application state without stopping execution but does not provide request-level latency breakdowns, and Cloud Monitoring uptime checks merely test endpoint availability rather than tracing internal call paths.
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What is Cloud Trace, and how does it work?
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How does Cloud Trace differ from Cloud Profiler?
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What are spans in Cloud Trace, and why are they important?
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What is Cloud Trace, and how does it help diagnose latency issues?
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How do spans in Cloud Trace assist in visualizing latency across microservices?
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How does Cloud Trace compare to Cloud Profiler for diagnosing issues?
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