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.
MediumTechnical
0 practiced
Design a synthetic monitoring plan to validate critical customer-facing transactions (login, search, checkout) for a global e-commerce platform. Specify check frequency, geographic coverage, failure thresholds, runbook integration, and how synthetic results should feed into alerting and dashboards used by SRE and product teams.
HardTechnical
0 practiced
Given a distributed system with intermittent 5xx errors affecting ~1% of requests, describe a systematic root-cause analysis strategy to identify the responsible component. Include how to correlate traces, metrics, and logs across services, narrow by deployment, region, or tenant, and determine when to escalate to code-level debugging or vendor support.
MediumTechnical
0 practiced
Discuss sampling strategies for traces and metrics: static sampling, head-based sampling, tail-based sampling, and adaptive sampling. For each method explain benefits, drawbacks, and when you would recommend it for a high-throughput service with strict cost limits.
HardSystem Design
0 practiced
Architect an end-to-end observability platform for an enterprise customer requiring multi-tenant isolation, RBAC, compliance-ready retention policies, and support for 10k services sending metrics, logs, and traces across multiple clouds. Outline components, multi-tenancy design, data isolation, encryption, query routing, and strategies for real-time and historical analysis.
MediumTechnical
0 practiced
Provide a Python script outline (pseudocode acceptable) that queries a Prometheus HTTP API for a metric, computes a rolling 1-hour p95 for a specified metric, and triggers a webhook if p95 exceeds a threshold for 10 consecutive minutes. Mention libraries, rate-limit handling, and how to persist intermediate state between runs.
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