System Monitoring and Performance Tuning Questions

Operational monitoring and continuous tuning of system and infrastructure resources to maintain performance and reliability. Topics include key system health and performance metrics such as central processing unit usage memory utilization disk input output and latency network bandwidth process counts system load latency and throughput and queries per second, establishing baselines and normal ranges, anomaly detection and root cause triage, instrumentation and metric collection for system health, reading monitoring dashboards and recognizing common failure patterns, interpreting system logs and using diagnostic commands and tools, setting alert thresholds and prioritization and escalation pathways, capacity planning and remediation steps, resource tuning to remove bottlenecks, and knowing when to escalate to deeper engineering investigation. Candidates should be able to connect observed symptoms to likely causes describe basic troubleshooting workflows and propose mitigation and prevention measures.

EasyTechnical

56 practiced

An application owner reports slow page loads. On the affected server you see many processes in 'D' state and high iowait but low CPU usage. Provide a concise triage checklist of commands and checks you would run, in order, to confirm the source of the problem and a quick mitigation to restore responsiveness.

HardSystem Design

56 practiced

System design: Architect a scalable monitoring pipeline for a hybrid-cloud environment with approximately 10,000 servers and thousands of microservices. Requirements: detect critical degradations in under 5 seconds for host metrics, store 90 days of high-resolution metrics for incident analysis, support multi-tenant access controls, and minimize cost. Outline components, data flow, sampling/aggregation strategy, alerting architecture, and trade-offs.

HardTechnical

54 practiced

A transactional database reports increased average read latency while QPS remains constant and connection wait times increase. Describe how you would profile queries, analyze index usage and buffer pool behavior, and propose at least four tuning steps that could reduce read latency. Include both schema/query changes and server-level configuration.

MediumSystem Design

46 practiced

You are tasked with selecting what application-level metrics to instrument for an e-commerce service to improve monitoring and troubleshooting. List at least ten metrics across frontend, backend, database, and caching layers, and for each justify why it helps detect performance regressions or capacity issues.

MediumTechnical

53 practiced

Design an alert prioritization and escalation policy for a 24x7 service staffed by two on-call engineers per week. Include examples of critical, high, and low priority alerts, approximate thresholds, reasonable max allowed noise per engineer per week, and the escalation path when an alert is not acknowledged within 15 minutes.

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