Intrigued by the art of cloud architecture? Discover how to design, develop, and manage robust, secure, scalable, and dynamic solutions on Google Cloud as you prepare for the Professional Cloud Architect exam!
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An e-commerce organization runs a distributed microservices application on Google Kubernetes Engine (GKE) managed with Cloud Service Mesh. Following a recent canary deployment, operations teams notice a distinct performance regression: overall transaction latency has doubled, and node CPU consumption has surged across backend workloads.
To remediate the issue and optimize the resource footprint before completing the rollout, the cloud architect needs to correlate end-to-end telemetry with granular code-level execution details.
Which approach should the architect use to diagnose the regression and identify the specific performance bottleneck?
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