Outline a modular system for search, selection, queueing, and playback that supports easy swapping of components. Use clear interfaces, dependency injection, and mockable services to accelerate development and testing. Document API contracts, version notes, and rollback paths to minimize integration risk.
Create contract tests between the request engine and downstream services (search, catalog, playback). Validate message schemas, data formats, and error semantics to prevent breaking changes across releases. Maintain versioned schemas and automate compatibility checks in CI to catch regressions early.
Simulate peak request loads, streaming bursts, and concurrent queue operations to ensure the system remains responsive. Profile CPU, memory, and network usage; identify bottlenecks; and implement autoscaling or queue backpressure where needed. Document results and recommended optimizations for future releases.