How does Eager vs Explicit Loading change at 10× traffic?

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Quick interview answer

At 10× traffic, Eager vs Explicit Loading usually hits queueing and CPU/I/O saturation first — mitigate with concurrency limits, batching, caching, and offloading. Mitigate first, then root-cause. Check symptoms against: Lazy loading enabled globally causing hidden N+1 in foreach..

Detailed answer

At 10× traffic for Eager vs Explicit Loading: 1) Bottleneck shifts from “works on my laptop” to queue delay and resource saturation. 2) Protect the loop/path: timeouts, bulkheads, backpressure, worker offload for CPU work. 3) Scale out carefully: sticky vs stateless, connection pools, cache hit ratio. 4) Prove with load tests that p99 stays inside SLO. Example to cite: Order list with items: .Include(o => o.Items) prevents N+1 when rendering line counts. Parent context: Mitigate first, then root-cause. Check symptoms against: Lazy loading enabled globally causing hidden N+1 in foreach..

Full explanation

Focus on what breaks first and how you keep Eager vs Explicit Loading correct under load. Include/ThenInclude eager-loads related data in one query. Explicit loading: reference/load after query. Avoid lazy loading in web apps (N+1 in loops).

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Parent context — Eager vs Explicit Loading

Mitigate first, then root-cause. Check symptoms against: Lazy loading enabled globally causing hidden N+1 in foreach..

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