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As a DevOps Engineer tasked with optimizing a distributed application on Google Cloud Platform (GCP) that's experiencing intermittent performance issues, which approach would you take to identify and resolve the performance bottlenecks?
A
Enable Cloud Trace and analyze latency data, configure Cloud Debugger to identify issues in the source code, use Cloud Profiler to analyze CPU and memory usage, and implement circuit breaking patterns to isolate microservices.
B
Enable Cloud Monitoring and analyze latency data, configure Cloud Debugger to identify issues in the source code, use Cloud Trace to analyze CPU and memory usage, and implement circuit breaking patterns to isolate microservices.
C
Enable Cloud Trace and analyze latency data, configure Cloud Monitoring to identify issues in the source code, use Cloud Profiler to analyze CPU and memory usage, and implement load balancing patterns to distribute traffic evenly.
D
Enable Cloud Trace and analyze latency data, configure Cloud Monitoring to identify issues in the source code, use Cloud Debugger to analyze CPU and memory usage, and implement circuit breaking patterns to isolate microservices.
