Cloud Architecture: Scenario-Based Questions

Cloud cost optimization is about aligning infrastructure usage with actual needs — without sacrificing performance or reliability. It requires visibility, design choices, and continuous discipline.

💰 Key Cost Levers

• Compute (VMs, containers, serverless functions)
• Storage (block, object, archival tiers)
• Data transfer (egress, inter-region, CDN)
• Idle or underutilized resources

🔧 Cost Optimization Techniques

• Right-size instances using usage patterns or recommendation tools
• Use autoscaling to adapt to load
• Choose spot/preemptible instances where suitable
• Leverage storage lifecycle policies and archival tiers (e.g., S3 Glacier)
• Use serverless for bursty or infrequent workloads

📈 Monitoring & Alerts

• Enable cost anomaly detection (e.g., AWS Budgets, GCP Cost Alerts)
• Set tags and labels to track spend by team, env, project
• Regularly review billing dashboards and forecasts

✅ Best Practices

• Turn off non-prod infra during off-hours (e.g., via cron/Lambda)
• Use reserved instances or committed use plans for steady workloads
• Apply governance with tools like AWS Organizations SCPs or GCP Quotas

🚫 Common Pitfalls

• Overprovisioning resources “just in case”
• No tagging strategy — difficult to allocate or control costs
• Using high-availability storage (e.g., S3 Standard) for cold data

📌 Final Insight

Cost efficiency is not a one-time project — it’s an operational practice. Build visibility, empower teams to own spend, and automate cleanup to keep waste in check.