Google Professional Cloud DevOps Engineer Question 161
Select 4Google Cloud PlatformYour team is experiencing intermittent latency issues in a microservices-based application deployed on Google Kubernetes Engine (GKE). To investigate further, you want to implement debugging tools in Google Cloud to identify the root cause of the issue. Which of the following tools or techniques would be most appropriate to pinpoint the problem?
- A
Use Cloud Trace to analyze latency across microservices and identify bottlenecks.
- B
Leverage Cloud Debugger to capture application state and variable values at specific points in code execution.
- C
Enable Cloud Logging to review detailed logs from each microservice and filter for errors.
- D
Use Cloud Profiler to analyze CPU and memory usage patterns across the microservices.
- E
Implement an external network monitoring tool to track traffic between microservices.
Show answer and explanation
Correct answers: A, B, C, D
Explanation
Google Cloud provides a suite of debugging tools specifically designed to analyze and optimize application performance. For latency issues in a microservices-based application, combining tools like Cloud Trace, Cloud Debugger, Cloud Logging, and Cloud Profiler offers comprehensive insights into bottlenecks, resource usage, and application behavior. External tools, while useful, are not as tightly integrated with Google Cloud’s ecosystem and are not the most appropriate choice in this scenario.
- A. Correct.
Cloud Trace is an appropriate tool to analyze latency and identify bottlenecks in a distributed system, making it a key choice for debugging latency issues.
- B. Correct.
Cloud Debugger helps capture application state and variable values, which can provide insights into unexpected behavior or errors in code execution.
- C. Correct.
Cloud Logging provides detailed logs that can help identify errors, warnings, or other anomalies contributing to latency problems.
- D. Correct.
Cloud Profiler is essential for understanding resource usage (e.g., CPU, memory), which can help identify performance inefficiencies in the microservices.
- E. Incorrect.
While external network monitoring tools can be helpful, they are not specific to Google Cloud and may not integrate as seamlessly with the GKE environment compared to native tools like Cloud Trace or Logging.