Start by clarifying requirements and constraints, then propose a high-level architecture with key components like event ingestion, filter engine, and routing. Discuss trade-offs in filter expression evaluation, scalability, and reliability, and outline a simple implementation plan using the provided JSON parser.
Pro tip: Emphasize the importance of decoupling the filter configuration from the routing logic to allow dynamic updates without service restarts, and discuss how to handle malformed events gracefully.
Ask about expected event volume, latency requirements, filter expression complexity, and output queue types. Confirm whether filters can be updated at runtime and how to handle errors.
Outline components: event receiver, filter engine, router, and output queues. Consider using a pub/sub model for scalability and decoupling.
Decide on a filter expression language (e.g., JSONPath, simple predicates) and evaluation strategy. Discuss parsing and compiling filters for performance.
Design how events are matched to filters and routed to queues. Consider ordering, at-least-once vs exactly-once semantics, and backpressure.
Sketch a simple implementation using the JSON parser, focusing on modularity and testability. Mention potential libraries for filter evaluation if allowed.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.