How do I approach Software Engineering Fundamentals interview questions?

Software Engineering Fundamentals questions require understanding of core concepts and practice. PracHub provides solutions with explanations to help you master software engineering fundamentals interviews.

What difficulty level is this interview question?

This is a hard difficulty Software Engineering Fundamentals question, commonly asked during Technical Screen rounds at Amazon.

What role is this question designed for?

This question is commonly asked for Software Engineer candidates at Amazon during technical interviews.

Choose lock granularity for concurrent storage

Last updated: Apr 26, 2026

Quick Overview

This question evaluates understanding of concurrency control and lock-granularity trade-offs in concurrent storage components, including coarse-grained versus fine-grained locking, lock-free/wait-free alternatives, and their impacts on latency (particularly p99) and throughput under contention, along with pitfalls such as deadlocks, priority inversion, convoying, and starvation. Commonly asked in software engineering fundamentals and systems interviews, it assesses architectural and performance reasoning for storage engines and targets both conceptual understanding of concurrency models and practical application-level trade-offs and implementation complexity.

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Choose lock granularity for concurrent storage

Amazon

Jan 22, 2026, 12:00 AM

hardSoftware EngineerTechnical ScreenSoftware Engineering Fundamentals

You are implementing a component inside a storage engine that is accessed concurrently (e.g., an in-memory index, metadata cache, or block map).

Discuss the trade-offs and propose an approach for concurrency control:

When would you use a coarse-grained lock (single global mutex)?
When do you need fine-grained locking (per-bucket/per-shard/per-node locks)?
How do lock choices affect latency (especially p99) and throughput under contention?
What pitfalls must be handled (deadlocks, priority inversion, convoying, starvation)?
When are lock-free / wait-free approaches feasible, and what are the engineering costs?

Assume you may have many threads, read-heavy workloads, and occasional writes (updates).

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