Q: How does Auto Scaling determine when to scale in vs scale out?
Based on scaling policies: target tracking (maintain metric at target, e.g., 70% CPU), step scaling (scale by N instances when metric cro...
#AWS #Cost & Architecture #L2 #Cloud #Infrastructure
🎙️ Candidate Opening & Architectural Context
""In our AWS cloud environment, we managed high-traffic microservices where this exact scenario occurred. When addressing this question, I walk the interviewer through our production incident runbook: isolating the blast radius, checking diagnostic logs and metrics, and applying a safe fix.""
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🛠️ Production Runbook & Step-by-Step Resolution
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Production Solution & Architecture
Based on scaling policies: target tracking (maintain metric at target, e.g., 70% CPU), step scaling (scale by N instances when metric crosses threshold), scheduled scaling (scale at specific times). Scale-in has a cooldown period to prevent thrashing.
💡 The Senior SRE Gold Nugget (Key Architectural Takeaway)
"Pro-Tip: Based on scaling policies: target tracking (maintain metric at target, e.g., 70% CPU), step scaling (scale by N instances when met."
⚡ 60-Second Elevator Pitch Talking Points
- Immediate Triage: Based on scaling policies: target tracking (maintain metric at target, e.g., 70% CPU), step sca
- Run targeted verification commands before modifying configuration.
- Automate permanent guardrails (CI check, alerts, IaC policy) to prevent recurrence.
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