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DORA Research: 2019

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Accelerate State of DevOps Report 2019

The report emphasizes the importance of continuous delivery (CD) as a key technical practice that reduces the risk and cost of software releases. It also highlights the need for clear change management processes, recommending a shift from formal heavyweight change approvals to peer review-based approval during the development process, complemented by automation to detect, prevent, and correct potential issues early in the delivery lifecycle. Lastly, the report finds that a culture of psychological safety, trust, and respect positively contributes to both productivity and SDO performance.

Key findings include:

  • Elite performers excel: Excellence in software delivery and organizational performance is achievable through adopting key capabilities.
  • Speed and stability go hand-in-hand: High performers achieve both speed and stability in software delivery, refuting the notion that there’s an inherent trade-off between the two.
  • Cloud computing is a differentiator: Elite performance is closely linked to effective cloud adoption, with elite performers 24 times more likely to utilize all five essential cloud computing capabilities.
  • Invest in productivity: Organizations can improve productivity by investing in tooling, facilitating information search, reducing technical debt, and fostering a culture of psychological safety. This in turn leads to improvements in work/life balance and reductions in burnout.
  • Structure DevOps around communities: Scaling DevOps effectively involves building community structures, with high-performing organizations favoring strategies like Communities of Practice and Grassroots movements.
  • Embrace continuous delivery: Continuous delivery remains a key technical practice that reduces risk and cost while improving software delivery performance.
  • Shift left on change approvals: Organizations should move away from heavyweight external change approval processes and embrace “shift left” peer review-based approvals during the development process, supported by automation to identify and resolve issues earlier.

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