Reliability and Operational Excellence Questions

Covers design and operational practices for building and running reliable software systems and for achieving operational maturity. Topics include defining, measuring, and using Service Level Objectives, Service Level Indicators, and Service Level Agreements; establishing error budget policies and reliability governance; measuring incident impact and using error budgets to prioritize work. Also includes architectural and operational techniques such as redundancy, failover, graceful degradation, disaster recovery, capacity planning, resilience patterns, and technical debt management to improve availability at scale. Operational practices covered include observability, monitoring, alerting, runbooks, incident response and post incident analysis, release gating, and reliability driven prioritization. Proactive resilience practices such as fault injection and chaos engineering, as well as trade offs between reliability, cost, and development velocity and scaling reliability practices across teams and organizations, are included to capture both hands on and senior level discussions.

MediumTechnical

92 practiced

Describe a process for discovering, triaging, and prioritizing reliability-related technical debt in a large product. Include how to categorize debt (risk, customer impact, cost), estimate remediation effort, set SLAs for fixes, and report progress to leadership.

HardTechnical

73 practiced

A key dependency is a third-party API that occasionally underperforms. Design a strategy for third-party dependency SLOs and explain how to incorporate third-party outages into your own error budget, SLA negotiations, customer communications, and contingency plans (fallbacks/multi-vendor).

MediumTechnical

91 practiced

Design a synthetic monitoring strategy for a global SaaS product: decide what checks to run (availability, auth, checkout flow), where to run them (global locations), frequency, script complexity, cost trade-offs, and how to use synthetic results alongside real-user metrics to detect regressions earlier.

MediumSystem Design

75 practiced

Design a canary deployment gating mechanism for Kubernetes that uses SLI metrics to decide success/failure and supports automated rollback. Include traffic shifting strategy, observation windows, statistical tests or thresholds, required instrumentation in the application, and tools you would use (e.g., Istio, Argo Rollouts).

EasyTechnical

101 practiced

Define RTO (Recovery Time Objective) and RPO (Recovery Point Objective). Given a single-region PostgreSQL database (1TB active dataset) with a business requirement of RTO = 1 hour and RPO = 15 minutes, sketch a feasible DR approach including replication, backup cadence, detection and failover strategy, and assumptions about acceptable data loss.

Unlock Full Question Bank

Get access to hundreds of Reliability and Operational Excellence interview questions and detailed answers.

Join thousands of developers preparing for their dream job.