Recall & Review
beginner
What are the three pillars of observability in microservices?
The three pillars are Metrics, Logs, and Traces. They help monitor and understand system behavior.
Click to reveal answer
beginner
Define Metrics in the context of microservices observability.
Metrics are numerical data points collected over time, like CPU usage or request counts, used to track system health.
Click to reveal answer
beginner
What role do Logs play in microservices observability?
Logs are detailed records of events or messages generated by services, useful for debugging and understanding specific incidents.
Click to reveal answer
intermediate
Explain Traces and their importance in microservices.
Traces track the path of a request as it travels through multiple services, helping identify bottlenecks and failures.
Click to reveal answer
intermediate
How do Metrics, Logs, and Traces complement each other?
Metrics give a high-level overview, Logs provide detailed event info, and Traces show request flow across services, together offering full observability.
Click to reveal answer
Which pillar provides numerical data like request rates and error counts?
✗ Incorrect
Metrics are numerical measurements collected over time to monitor system health.
What pillar helps track the journey of a request through multiple microservices?
✗ Incorrect
Traces follow requests across services to identify delays or failures.
Which pillar is best for detailed debugging of specific errors?
✗ Incorrect
Logs contain detailed event messages useful for debugging.
Which pillar would alert you if CPU usage suddenly spikes?
✗ Incorrect
Metrics track system resource usage like CPU and memory.
What is NOT a benefit of combining metrics, logs, and traces?
✗ Incorrect
Automatic code generation is unrelated to observability pillars.
Describe the three pillars of observability and how each helps monitor microservices.
Think about numbers, messages, and request paths.
You got /4 concepts.
Explain a real-life example of how metrics, logs, and traces can help solve a performance issue in a microservices system.
Imagine a slow website and how you would investigate.
You got /3 concepts.