SLI
Concept, implementation, and troubleshooting questions with model answers, evaluation points, follow-ups, and weak-answer warnings.
Open question setSite Reliability Engineering
Interviewers look for precise measurement, multi-window burn rates, user impact, release policy, incident roles, blameless learning, sustainable on-call, capacity assumptions, and measurable toil reduction.
Interview focus
Answer with mechanism, evidence, and trade-offs
Interviewers look for precise measurement, multi-window burn rates, user impact, release policy, incident roles, blameless learning, sustainable on-call, capacity assumptions, and measurable toil reduction.
Strong-answer signals
- Define useful SLIs and SLOs
- Calculate and use error budgets
- Explain availability and reliability trade-offs
- Design incident, on-call, runbook, and postmortem practice
- Plan capacity and reduce toil
Flow diagram
Site Reliability Engineering answer flow
Use this flow to structure design and scenario answers from context through evidence and recovery.
- 01Measure user signalSite Reliability Engineering stage 1: measure user signal with an auditable result before the next stage begins.
- 02Compare with SLOSite Reliability Engineering stage 2: compare with slo with an auditable result before the next stage begins.
- 03Detect budget burnSite Reliability Engineering stage 3: detect budget burn with an auditable result before the next stage begins.
- 04Respond with runbookSite Reliability Engineering stage 4: respond with runbook with an auditable result before the next stage begins.
- 05Restore serviceSite Reliability Engineering stage 5: restore service with an auditable result before the next stage begins.
- 06Learn and remove toilSite Reliability Engineering stage 6: learn and remove toil with an auditable result before the next stage begins.
Practical interview scenario
Design, diagnose, and defend your decision
A service spends most of its monthly error budget in six hours during a promotion. Lead the response, set release policy, and define technical and operational improvements.
A complete response should include
- Business impact and technical constraints
- Architecture or execution sequence
- Identity, security, and evidence
- Failure handling and recovery
- Metrics and next improvement
Module question spotlight
Five questions to practise first
01SLIWhat problem does SLI solve, how does it work in Site Reliability Engineering, and what is it commonly confused with?
Define the mechanism and ownership boundary first. Explain that it turns service behavior into evidence that supports detection, diagnosis, capacity decisions, and measurable reliability, then contrast it with the adjacent responsibilities represented by the module prerequisites and the following SLO concept. Close with a concrete validation signal.
02SLOHow would you implement and validate SLO for a production workload?
Start from workload constraints and existing state. Choose the user or system signal, instrument it, query it over a meaningful window, set context and thresholds, and connect alerts to action. Include identity, dependencies, normal and failure tests, monitoring, and an explicit recovery decision.
03SLAA change involving SLA causes a production symptom. What evidence would you inspect and how would you recover safely?
Establish scope and recent change, inspect the native configuration and event or log evidence, test the dependency boundary, apply the smallest reversible mitigation, verify user impact has recovered, and retain the findings for permanent prevention.
04Error budgetsWhat problem does Error budgets solve, how does it work in Site Reliability Engineering, and what is it commonly confused with?
Define the mechanism and ownership boundary first. Explain that it restores a safe service state while preserving evidence and reducing the chance that mitigation introduces a second failure, then contrast it with the adjacent responsibilities represented by the preceding SLA concept and the following Availability concept. Close with a concrete validation signal.
05AvailabilityHow would you implement and validate Availability for a production workload?
Start from workload constraints and existing state. Choose the user or system signal, instrument it, query it over a meaningful window, set context and thresholds, and connect alerts to action. Include identity, dependencies, normal and failure tests, monitoring, and an explicit recovery decision.
Complete question bank
36 topic-aware interview questions
SLO
Concept, implementation, and troubleshooting questions with model answers, evaluation points, follow-ups, and weak-answer warnings.
Open question setSLA
Concept, implementation, and troubleshooting questions with model answers, evaluation points, follow-ups, and weak-answer warnings.
Open question setError budgets
Concept, implementation, and troubleshooting questions with model answers, evaluation points, follow-ups, and weak-answer warnings.
Open question setAvailability
Concept, implementation, and troubleshooting questions with model answers, evaluation points, follow-ups, and weak-answer warnings.
Open question setReliability
Concept, implementation, and troubleshooting questions with model answers, evaluation points, follow-ups, and weak-answer warnings.
Open question setIncident management
Concept, implementation, and troubleshooting questions with model answers, evaluation points, follow-ups, and weak-answer warnings.
Open question setOn-call
Concept, implementation, and troubleshooting questions with model answers, evaluation points, follow-ups, and weak-answer warnings.
Open question setRunbooks
Concept, implementation, and troubleshooting questions with model answers, evaluation points, follow-ups, and weak-answer warnings.
Open question setPostmortems
Concept, implementation, and troubleshooting questions with model answers, evaluation points, follow-ups, and weak-answer warnings.
Open question setCapacity planning
Concept, implementation, and troubleshooting questions with model answers, evaluation points, follow-ups, and weak-answer warnings.
Open question setToil reduction
Concept, implementation, and troubleshooting questions with model answers, evaluation points, follow-ups, and weak-answer warnings.
Open question set