
"Accelerate" reveals how elite tech organizations outperform competitors through DevOps practices, backed by data from 23,000+ professionals. Google and Amazon leaders swear by its DORA metrics framework, proving the counterintuitive truth: moving faster actually reduces failure rates and improves quality.
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What if everything we've been told about software development trade-offs is wrong? For decades, the tech industry operated under a seemingly ironclad assumption: you could move fast or build reliably, but never both. Speed meant cutting corners. Quality meant endless delays. This either-or thinking shaped how we structured teams, measured success, and made critical business decisions. Then rigorous research spanning 23,000+ responses from 2,000+ organizations worldwide revealed something startling-the highest-performing technology companies deploy code 46 times more frequently than their competitors while simultaneously maintaining five times lower failure rates. They're not choosing between speed and stability. They're excelling at both, and the gap between winners and everyone else is widening every year. Most organizations drown in metrics that measure everything except what matters. Lines of code written? That rewards bloated solutions over elegant simplicity. Developer velocity? Teams game the system by inflating estimates. Server utilization rates? Pushing toward 100% creates exponential delays, like a highway gridlocked at rush hour. Four metrics cut through this noise: deployment frequency, lead time, time to restore service, and change fail rate. These aren't arbitrary choices-they measure tempo, efficiency, quality, and resilience simultaneously. High performers in 2017 deployed 46 times more frequently with lead times 440 times faster. When incidents occurred, they recovered 170 times faster. This performance gap translates directly to business outcomes: high performers were twice as likely to exceed profitability, market share, and productivity goals. While one company spends weeks shepherding a single change through bureaucratic approval processes, their competitor has deployed hundreds of improvements, learned from real user feedback, and iterated again.
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Cree par des anciens de Columbia University a San Francisco
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Cree par des anciens de Columbia University a San Francisco

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