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Answer: Use the Service Mesh visualization in the Cloud Console to inspect the telemetry between the microservices.
The correct answer is A. The Service Mesh visualization in the Cloud Console is specifically designed to help you monitor and troubleshoot microservices running in Anthos clusters. It provides robust tracing, monitoring, and logging features that give you deep insights into the interactions and performance of your services. By using the Service Mesh visualization, you can inspect the telemetry between the microservices, identify latency and other performance issues, and determine which specific microservice is causing the delay. This functionality is ideal for quickly pinpointing and resolving performance bottlenecks in a microservices architecture.
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Your company has an application deployed on Anthos clusters (formerly known as Anthos GKE) which is composed of multiple microservices. The cluster is configured with both Anthos Service Mesh and Anthos Config Management. Recently, end users have reported that the application has been responding very slowly. To resolve this issue, you need to identify the specific microservice causing the delay. What should you do?
A
Use the Service Mesh visualization in the Cloud Console to inspect the telemetry between the microservices.
B
Use Anthos Config Management to create a ClusterSelector selecting the relevant cluster. On the Google Cloud Console page for Google Kubernetes Engine, view the Workloads and filter on the cluster. Inspect the configurations of the filtered workloads.
C
Use Anthos Config Management to create a namespaceSelector selecting the relevant cluster namespace. On the Google Cloud Console page for Google Kubernetes Engine, visit the workloads and filter on the namespace. Inspect the configurations of the filtered workloads.
D
Reinstall istio using the default istio profile in order to collect request latency. Evaluate the telemetry between the microservices in the Cloud Console.