You've learned about the three pillars of observability: logs, metrics, and traces. Now let's practice using each one to diagnose issues in your cloud-native, containerized pipelines.
Different problems require different observability tools.
Engagement Message
Ready to become a pipeline detective?
Type
Multiple Choice
Practice Question
Your containerized data pipeline suddenly starts taking 3x longer to process the same amount of data. Which observability tool would help you find the bottleneck?
A. Logs to see error messages B. Metrics to identify performance trends C. Traces to see where time is spent D. Alerts to notify when it happens again
Suggested Answers
- A
- B
- C - Correct
- D
Type
Sort Into Boxes
Practice Question
Sort these observability signals into the correct categories:
Labels
- First Box Label: Logs
- Second Box Label: Metrics
First Box Items
- Error messages
- Failed connections
- API responses
Second Box Items
- CPU usage
- Processing time
- Memory consumption
Type
Swipe Left or Right
Practice Question
Let's practice matching investigation approaches to problem scenarios. Swipe each scenario to the best observability approach:
Labels
- Left Label: Use Logs
- Right Label: Use Metrics
