Google Professional Cloud DevOps Engineer Question 118
Select 4Google Cloud PlatformYour team is managing a GCP application that uses Google Kubernetes Engine (GKE). The application occasionally experiences performance degradation, and you need to implement a logging strategy to identify and diagnose issues. Which steps should you take to manage and analyze application logs effectively?
- A
Use Cloud Logging to collect logs from your GKE pods and set up structured logging.
- B
Enable VPC Flow Logs to capture network traffic between GKE pods and store them in Cloud Logging.
- C
Create exclusion filters in Cloud Logging to avoid ingesting debug-level logs during normal operation.
- D
Set up alerts in Cloud Monitoring to notify your team when specific log patterns or errors appear.
- E
Use the Cloud Logging Logs Explorer to search for and analyze logs using custom queries.
Show answer and explanation
Correct answers: A, C, D, E
Explanation
Effective log management in GCP involves using tools like Cloud Logging to collect and structure logs, creating exclusion filters to focus on important log data, and leveraging Logs Explorer for detailed analysis. Setting up alerts ensures real-time issue detection, while unnecessary steps like enabling VPC Flow Logs for application-level issues can be avoided.
- A. Correct.
Correct. Using Cloud Logging to collect logs from GKE pods and setting up structured logging enables better log analysis and troubleshooting.
- B. Incorrect.
Incorrect. While VPC Flow Logs capture network traffic, they are not directly related to application log management and are more suited for network analysis.
- C. Correct.
Correct. Exclusion filters can help reduce unnecessary log ingestion, especially debug-level logs, which can save costs and focus on important logs.
- D. Correct.
Correct. Alerts in Cloud Monitoring can be configured based on log patterns, allowing the team to respond proactively to issues.
- E. Correct.
Correct. The Logs Explorer provides advanced capabilities to search and analyze logs through custom queries, aiding in root cause analysis.