Your question is Observability in Distributed Systems. Take a moment with it on the right.
Talk me through your thinking if you like. When you're confident, submit your answer and I'll grade it like a real screen (7/10 or better passes).
What is your approach to ensuring observability and monitoring in a distributed system?
Discuss how you would instrument services, collect and correlate logs, metrics, and traces, define service and model health indicators, and detect incidents across distributed ML serving components. Explain how you would handle alerting, debugging, feature drift, training-serving skew, and monitoring failures without creating excessive cost or alert fatigue.
