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Driving Results and Customer Impact Questions

Stories where you improved infrastructure reliability, performance, or user experience. Show quantified results when possible: 'Improved backup recovery time from 4 hours to 30 minutes', 'Reduced manual operations by 70% through automation', 'Eliminated single point of failure impacting 500 users'. Show how you identified the problem, proposed solution, and delivered impact.

HardSystem Design
81 practiced
Design an observability pipeline that ingests 1 billion metrics/day and 10 TB logs/day, supports 30-day metric retention and 90-day log retention, and provides alerting with sub-minute latency while minimizing cost. Discuss choices for ingestion, aggregation, storage formats (TSDB vs columnar), indexing strategies, sampling, and query performance trade-offs.
EasyTechnical
81 practiced
Write a Python script that reads a large server log file (format: timestamp level component message) and streams it to compute the top 10 components by ERROR count without loading the whole file into memory. Include explanation about time and memory complexity and how you'd run or containerize this in production to process logs daily.
HardTechnical
71 practiced
A JVM service is experiencing GC-induced latency spikes that manifest at P99 under moderate load. Provide a detailed diagnostic and mitigation plan: which JVM flags and GC collectors you would consider tuning, how you'd collect heap and GC metrics, trade-offs of resizing heap vs changing collector, and alternative approaches like moving cache off-heap or improving object allocation patterns.
HardTechnical
67 practiced
Your company must reduce infrastructure spend by 30% without degrading availability or customer experience. Propose a phased plan that includes rightsizing, using spot instances, storage tiering, cache optimization, and SLO-driven cost allocation. Explain safeguards and metrics you will monitor to ensure minimal customer impact during cost reductions.
EasyTechnical
87 practiced
Your team backlog contains 200 tickets mixing reliability work, feature requests, and technical debt. Explain a framework you would use to prioritize reliability work that has direct customer impact. Describe metrics and decision criteria (for example, SLO burn rate, user-facing incidents, ROI), how you would present recommendations to product managers, and how you would measure success after prioritization.

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