Monitoring, Logging, and Operational Visibility Questions

Understand that running systems need constant visibility. Know basic monitoring concepts: metrics (numerical measurements like CPU, memory, request count), logs (detailed event records), and alerts (notifications when issues occur). Know the monitoring tools: CloudWatch (AWS), Azure Monitor (Azure), Cloud Operations/Stackdriver (GCP). Understand what should be monitored: application health (uptime, error rates), infrastructure health (CPU, memory, disk), and security events (access logs, permission denials). Know that proper monitoring enables quick issue detection and troubleshooting. Be familiar with dashboard creation (visualizing metrics) and alert configuration (notifying on problems). Understand log aggregation—collecting logs from multiple sources for centralized analysis.

EasyTechnical

56 practiced

An on-call team complains of too many noisy alerts and alert fatigue. Describe practical, prioritized steps you would take to reduce noise and improve signal-to-noise ratio across an organization's alerting system. Include short-term mitigations and long-term improvements.

EasyTechnical

69 practiced

Given Apache combined log lines stored in CloudWatch Logs, write a CloudWatch Logs Insights query to find the top 10 client IP addresses generating HTTP 5xx responses in the last 24 hours. Assume log lines look like: '127.0.0.1 - - [date] "GET /path HTTP/1.1" 500 1234 "-" "user-agent"'.

EasyTechnical

50 practiced

Describe the purpose of dashboards in operational visibility. For three audiences (on-call SRE, application developer, and product manager) provide 4–6 panels or metrics each dashboard should show. Explain design choices that prevent misleading visualizations and ensure dashboards remain actionable.

MediumTechnical

54 practiced

You're responsible for improving observability during the migration of a legacy application to the cloud. As the project lead, outline how you would engage stakeholders, define incremental deliverables (telemetry, dashboards, alerts), set acceptance criteria, and measure success after each milestone.

MediumTechnical

74 practiced

Describe a logging strategy for a microservices architecture. Include your recommended log format (structured JSON), minimum required fields (service, env, timestamp, level, trace_id), log levels policy, guidelines for exception logging, and how to manage verbosity for high-throughput endpoints.

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