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Chinmay and Jaideep talk about DORA metrics: what they are, when they matter, and how to use them without turning it into measurement theater. From deployment frequency to time to recover, they cover how these metrics reflect engineering culture, platform maturity, and real business impact. What’s inside: What DORA metrics are and why they exist When startups vs enterprises should care The four core metrics: deployment frequency, lead time to production, change failure rate, time to recover Why high deploy counts alone don’t make a team elite How CI/CD, feature flags, branching, and local dev shape results What DORA doesn’t measure: product value, UX, and quality Avoiding Goodhart’s Law and vanity targets Using DORA to make the case for fixing tech debt Field notes and caveats from real teams Timestamps: 0:00 Intro 0:20 What are DORA metrics? 0:57 Relevance for startups vs enterprises 1:56 The four DORA metrics explained 3:00 How metrics reflect engineering culture 5:19 High deploys can still hide problems 7:02 Beyond DORA: value, quality, UX 10:10 Engineers vs management: aligning on metrics 11:50 What DORA doesn’t measure 12:57 Caveats and anti-patterns 14:27 Wrap-up Our Follow-up blog: https://one2n.io/blog/dora-metrics-us... Subscribe to One2N for more tech insights, cloud tips, and behind-the-scenes on hardware, software, and everything tinker-worthy. Hit the bell for notifications! #DORA #DevOps #SRE #PlatformEngineering #CICD #SoftwareEngineering #EngineeringLeadership #One2N #reliability #One2NBits Check out our website: one2n.io Follow us on LinkedIn: linkedin.com/company/one2nc