Your question is Designing for High Availability. 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 are the primary considerations when designing for high availability in a cloud-native environment?
Discuss the question in the context of an end-to-end ML serving platform, without assuming a specific product, traffic volume, or cloud provider. Explain how you would reason about redundancy, failure isolation, deployment safety, stateful dependencies, model serving, observability, disaster recovery, and graceful degradation.
