2V0-71.23 Question 43
Select 3You are managing a Kubernetes cluster for your organization using VMware Tanzu. The team is experiencing application latency issues, and you need to identify the root cause. Which components of observability should you focus on to troubleshoot the problem effectively?
- A
Logs from the application and Kubernetes components
- B
Metrics such as CPU and memory usage across the cluster
- C
Tracing to follow the flow of requests between microservices
- D
Cluster scaling policies and configuration files
- E
Snapshot backups of persistent volumes
Show answer and explanation
Correct answers: A, B, C
Explanation
Observability for Kubernetes involves using logs, metrics, and tracing to gain insights into the behavior of applications and the cluster. Logs provide detailed event data, metrics help track resource utilization, and tracing allows you to visualize request flows and identify bottlenecks or failures in microservice interactions. Together, these components help you troubleshoot performance issues effectively.
- A. Correct.
Logs are essential for capturing detailed information about application and Kubernetes behavior, which can help identify errors or unexpected behavior.
- B. Correct.
Metrics provide a quantitative view of resource usage (e.g., CPU, memory), which is critical for identifying performance bottlenecks.
- C. Correct.
Tracing enables tracking the flow of requests between microservices and can identify latency issues in distributed systems.
- D. Incorrect.
While cluster scaling policies and configurations are important for cluster management, they do not directly provide insights into the root cause of application latency.
- E. Incorrect.
Snapshot backups are used for data recovery and are unrelated to observability or troubleshooting application latency.