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Senior DevOps / SRE [L2] Observability Production Scenario [L2]

Q: You want to monitor the "availability" of your e-commerce checkout service. How do you calculate it?

Availability shouldn't be measured purely by ping or CPU (host uptime), because the host could be up but the app returning 500 errors.

#Observability #Observability #L2 #Monitoring #Prometheus #SRE
🎙️ Candidate Opening & Architectural Context
""In an interview, I explain how we designed actionable, symptom-based alerting using the Four Golden Signals. The interviewer is testing: SLI configuration, RED metrics, avoiding ping/uptime as availability.. I structure my answer around systematic triage first, root cause analysis second, and permanent remediation third.""
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🛠️ Production Runbook & Step-by-Step Resolution

1️⃣

Production Solution & Architecture

Availability shouldn't be measured purely by ping or CPU (host uptime), because the host could be up but the app returning 500 errors. The standard SRE approach uses the RED Method metrics, specifically Error Rate. I would calculate availability as a ratio of successful requests to total requests over a window (e.g., 30 days). Availability % = (Total Requests - HTTP 5xx Errors) / Total Requests * 100 This provides the Service Level Indicator (SLI). To make it actionable, I would set a Service Level Objective (SLO), such as 99.9%, and alert if the Error Budget burn rate exceeds an acceptable threshold.

💡 The Senior SRE Gold Nugget (Key Architectural Takeaway)
"Pro-Tip: Availability shouldn't be measured purely by ping or CPU (host uptime), because the host could be up but the app returning 500 err."
⚡ 60-Second Elevator Pitch Talking Points
  • Immediate Triage: Availability shouldn't be measured purely by ping or CPU (host uptime), because the host could
  • Run targeted verification commands before modifying configuration.
  • Automate permanent guardrails (CI check, alerts, IaC policy) to prevent recurrence.
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