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

49 practiced

Define SLI, SLO, and SLA. As a solutions architect for a backend service, explain how you would pick SLIs for latency and availability and set realistic SLO targets that align with business needs while reserving an error budget for product changes.

MediumSystem Design

57 practiced

Design an autoscaling policy for a backend service that must maintain 99.9% request success while minimizing cost. Discuss which metrics (CPU, request queue length, latency, custom SLIs) to use for scale decisions, scale-up/down cooldowns, and safeguards to prevent flapping or rapid scale storms.

EasyTechnical

55 practiced

Explain the difference between latency and throughput. Provide concrete examples of systems where optimizing for latency reduces throughput and vice versa, and describe measurement and monitoring approaches to evaluate trade-offs for a backend that handles both batch and interactive workloads.

HardTechnical

61 practiced

Provide a plan and sample commands to perform CPU and memory profiling of a production Go service experiencing intermittent spikes. Include how to capture pprof CPU and heap profiles with minimal overhead, analyze with pprof and flamegraphs, and use findings to propose code or configuration changes.

EasyTechnical

57 practiced

Explain what baseline metrics and normal ranges are for system monitoring. As a solutions architect, describe how you would establish baselines for CPU, memory, disk I/O, network bandwidth, and request latency for a new service deployed to dev, staging, and prod. Include data sources, time windows, approaches to seasonality, and handling of outliers.

Unlock Full Question Bank

Get access to hundreds of System Monitoring and Performance Tuning interview questions and detailed answers.

Join thousands of developers preparing for their dream job.