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Reliability vs Availability: Key Metrics and Patterns Every Engineer Should Know

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Reliability and availability are distinct system quality measures: reliability means a system performs correctly without failure, while availability refers to how often it is operational when needed. Availability is calculated as uptime divided by total time and is commonly expressed in percentages, with services like Google Search and AWS S3 targeting 99.99% uptime. Key reliability metrics include Mean Time Between Failures (MTBF) and Mean Time To Recovery (MTTR), with availability improvable by either failing less often or recovering faster. Human error accounts for 70–80% of outages, stemming from misconfigurations, deployment mistakes, and accidental deletions. Engineers can build high-availability systems using strategies such as redundancy, health checks, circuit breakers, and retry logic with exponential backoff to handle failures gracefully.

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Reliability vs Availability: Key Metrics and Patterns Every Engineer Should Know · ShortSingh