A Decade with DORA
summary
DORA summarizes ten years of data showing concrete levers not slogans: the four key metrics (lead time, deploy frequency, MTTR, change fail rate) sit inside a DORA Core model that links capabilities to outcomes via a structural equation model, and top 355 performing teams deliver 50% higher market cap growth. Cloud benefits require using its five characteristics, not lift‑and‑shift; only 40% run disaster recovery yearly; internal search correlates 1.73x with performance; AI so far boosts wellbeing but not delivery. Expect a J-curve of transformation and use the survey as a 15‑minute assessment to pick one constraint to improve.
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chapters (26)
- 0:00Introduction and welcome
- 2:38What is DORA and its origins
- 5:07DORA’s mission and philosophy
- 7:35Early devops research and reports
- 10:052014 report and market performance
- 12:15Lean management and economic benefits
- 12:56DORA’s founding and 2016 insights
- 15:06Leadership and transformational impact
- 17:11Key takeaways from Accelerate book
- 18:39Split between DORA and Puppet reports
- 20:052018 report and cloud computing
- 23:39J curve of transformation
- 25:45DORA acquired by Google Cloud
- 27:53Developer experience and search impact
- 28:57Communities of practice for change
- 30:02ROI of devops transformation
- 30:45SRE and devops complementarity
- 31:49Documentation and burnout research
- 33:16Security culture and changeability
- 34:19Launching the DORA Community
- 35:42DORA Core model introduction
- 37:072023 report on AI and user focus
- 39:13DORA beyond devops teams
- 40:16Four key metrics explained
- 42:20Organizational topology and improvement
- 43:43Future of DORA and AI integration
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