Performance Optimization and Latency Engineering Questions

Covers systematic approaches to measuring and improving system performance and latency at architecture and code levels. Topics include profiling and tracing to find where time is actually spent, forming and testing hypotheses, optimizing critical paths, and validating improvements with measurable metrics. Candidates should be able to distinguish central processing unit bound work from input output bound work, analyze latency versus throughput trade offs, evaluate where caching and content delivery networks help or hurt, recognize database and network constraints, and propose strategies such as query optimization, asynchronous processing patterns, resource pooling, and load balancing. Also includes performance testing methodologies, reasoning about trade offs and risks, and describing end to end optimisation projects and their business impact.

MediumSystem Design

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Describe how you would build an automated performance test suite to validate a new release for a high-throughput service: test plan, traffic generation that mimics real usage, warmup, metrics to collect, pass/fail criteria, and how to ensure tests don't affect production data or environments.

EasyTechnical

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List the key observability signals you would collect to diagnose latency issues in a microservice architecture. Include metrics, logs, distributed traces, resource-level statistics, synthetic checks, and describe how you would correlate these signals during triage.

MediumTechnical

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Compare sampling profilers and instrumentation/tracing for performance analysis in production. Explain overhead trade-offs, granularity differences, accuracy implications, and scenarios where you would prefer sampling over instrumentation or vice versa.

HardTechnical

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Explain how NUMA topology and filesystem choice affect latency for memory-intensive server processes. Describe mitigations for NUMA-induced latency such as memory pinning, CPU affinity, huge pages, and appropriate filesystem flags or mount options to minimize page faults and cross-node memory access.

HardTechnical

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Implement a simplified lock-free single-producer single-consumer ring buffer in C or C++ to pass small messages between threads with minimal latency. Describe the memory ordering guarantees you rely on, how you avoid false sharing, and how you would test correctness under contention.

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