1. Which key metrics should DevOps teams monitor regularly?
Monitor CPU, memory, disk I/O, and network utilization to ensure healthy performance. Also track latency, error rates, and request counts to detect bottlenecks early.
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Cloud Basics · Question Set
Monitoring & Costing interview questions for placements and exams.
Questions
14
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Subject
Cloud Basics
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Mixed
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Go through each question and its explanation. Use this set as a focused practice pack for Cloud Basics.
Monitor CPU, memory, disk I/O, and network utilization to ensure healthy performance. Also track latency, error rates, and request counts to detect bottlenecks early.
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Cost Explorer visualizes historical and forecasted spending across AWS accounts. It helps identify cost trends, unused resources, and opportunities to use savings plans or reserved instances.
Alerts notify teams when metrics exceed defined limits. They help respond quickly to downtime or resource overuse.
Monitoring can trigger automated rollbacks or alerts when deployment errors occur. Integrating tools like Prometheus or CloudWatch ensures continuous visibility throughout the release cycle.
Monitoring helps track system health, usage, and errors. It ensures services stay available and allows early detection of performance problems.
Amazon CloudWatch gathers logs, metrics, and alarms for AWS resources. It helps visualize performance and trigger alerts automatically.
StackDriver Monitoring (now Cloud Monitoring) provides visibility into GCP, AWS, and hybrid workloads. It offers dashboards, uptime checks, and alerting policies.
Azure Monitor collects telemetry from resources and applications. It integrates with Log Analytics and Application Insights for deeper diagnostics.
AWS CloudTrail logs every API call, including who made it and from where. It’s essential for auditing, compliance, and incident investigations.
The AWS Billing Dashboard shows detailed spending reports and forecasted costs. It helps teams track budgets and detect abnormal spending early.
Azure Advisor analyzes usage patterns and suggests optimizations. It covers cost, performance, security, and reliability recommendations.
Budgets allow users to define monthly or project-based cost limits. Email or SNS alerts trigger when actual or forecasted costs exceed thresholds.
Centralized logging aggregates logs from multiple services into one location. It simplifies troubleshooting, security analysis, and compliance auditing by providing a single source of truth.
Use auto-scaling to match resources with demand, and shut down idle instances. Choose reserved or spot instances for predictable workloads, and enable budgets or alerts for cost tracking.