Your question is Scale Real-Time Automation Events. 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).
How would you design and scale a system that processes millions of real-time automation events reliably at Workato?
Discuss the end-to-end architecture, including event ingestion, stream processing, online ML inference, storage, failure recovery, and observability. Explain how you would clarify requirements, estimate capacity, separate online and batch workloads, evaluate model quality, and handle feature drift, training-serving skew, backpressure, duplicates, and partial outages.