Reliability is a foundational pillar when building resilient systems, especially for critical components. Outages and malfunctions pose serious risks to any workload, so a truly reliable system must be designed to detect, withstand, and recover from failures within an acceptable timeframe. It must ensure continued functionality and maintain availability so that users can access services as expected, both in terms of uptime and quality. 🔧 Aligned with Azure’s Reliability Checklist Keep it simple and efficient Strive for a solution that meets requirements without unnecessary complexity—simplicity simplifies reliability Identify and prioritize flows Map out user and system flows, assess their criticality, and focus engineering efforts on those with the highest business impact Conduct failure mode analysis (FMA) Investigate every dependency and component with a methodical FMA to uncover weak points, and design mitigation strategies accordingly Define clear reliability and r...
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