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Answer: Implement Stackdriver Trace in all applications to analyze inter-service HTTP requests for detailed latency, throughput, and error rate insights.
Stackdriver Trace is the optimal choice as it offers comprehensive details on service latency, throughput, and error rates. This enables the early detection and resolution of performance bottlenecks in dependent applications.
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To proactively identify potential performance issues in a Node.js application running on Google Kubernetes Engine (GKE) that makes multiple HTTP requests to external services, which strategy should you implement?
A
Utilize Stackdriver Debugger to examine the execution logic within each application for instrumentation.
B
Enhance the Node.js application to log HTTP request and response times to dependent services and use Stackdriver Logging to pinpoint poorly performing services.
C
Apply Stackdriver Profiler to instrument all applications.
D
Implement Stackdriver Trace in all applications to analyze inter-service HTTP requests for detailed latency, throughput, and error rate insights.
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