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SRE Practices: SLOs, Observability, and Incident Management
Cloud / DevOps / SRE

SLOs, Monitoring, and On-Call Practices

BehavioralHard~30 minDesigned by experts

About this interview

A behavioral interview on SRE Practices: SLOs, Observability, and Incident Management, pitched at the hard level. A voice AI interviewer leads the conversation, adapts its questions to your answers, keeps you on topic, and afterward gives you honest, specific feedback on where you were strong and where to improve. Expect roughly 30 minutes.

What you'll be assessed on

Define SLIs, SLOs, and error budgets and explain how to derive SLOs from user journeys
Describe the four golden signals and how to instrument them with Prometheus and alerting rules
Walk through a complete incident response lifecycle: detection, triage, escalation, mitigation, and postmortem
Explain blameless postmortem principles and the difference between incident management and incident response
Articulate how to identify and reduce toil and balance reliability work against feature velocity

Topics covered

SLIs / SLOs / SLAsObservability — Golden SignalsError BudgetsIncident Response LifecycleBlameless PostmortemsSLIs / SLOsToil ReductionPrometheus / AlertingSLO DefinitionIncident Management vs ResponseIncident Response — TriageSLO CalibrationPrometheus / Latency MeasurementIncident Response — Command Structure

A few sample questions

Just examples to set expectations - the real interview has many more and adapts to your responses.

How would you explain the difference between an SLI, an SLO, and an SLA to an engineering team that has never used these terms before?
How does histogram-based latency measurement in Prometheus differ from average latency, and why does that distinction matter when you are writing SLOs?
How do you balance the SRE principle of spending no more than 50 percent of time on toil with the practical reality that toil spikes during incidents and release crunches?

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