Accelerate: The Science of Lean Software and DevOps: Building and Scaling High Performing Technology Organizations
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deliver value to customers and stakeholders.
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strategic use of technology explains revenue and productivity gains more than mergers and acquisitions (M&A) and entrepreneurship
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DevOps emerged from a small number of
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organizations facing a wicked problem: how to build secure, resilient, rapidly evolving distributed systems at scale.
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must learn how to solve thes...
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gain significant benefits, such as accelerated deliver...
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many organizations have achieved great success with their technology transformations (notable examples include web-scale tech giants such as Netflix, Amazon,
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Netflix, Amazon, Google, and Facebook, as well as more traditional large organizations including Capital One, Target, and the US Federal Government’s Technology Transformation Service and US Digital Service),
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Google, and Facebook, as well as more traditional large organizations including Capital One, Target, and the US Federal Government’s Technology Transformation Service and US Digital ...
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31% of the industry is not using practices and principles that are widely considered to be necessary for accelerating
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continuous integration and
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continuous delivery, Lean practices, and a collaborative culture (i.e., capabilities champion...
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Another Forrester report states that DevOps is accelerating technology, but that organizations often overestimate their progress
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that executives are especially prone to
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overestimating their progress when compared to those who are actu...
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if we assume the estimates of DevOps maturity or capabilities from practitioners are more accurate—
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potential for value delivery and growth within organizations is much greater than executives currently realize.
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need to measure DevOps capabilities accurately and to communicate these measure...
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Technology leaders need to deliver software quickly and reliably to win in the market.
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The key to successful change is measuring and understanding the right things with a focus on capabilities—not on maturity.
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shifting to a capabilities model of measurement is essential for organizations wanting to accelerate software delivery.
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maturity models focus on helping an organization “arrive” at a mature state
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then declare themselves done with t...
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technology transformations should follow a continuous imp...
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continually improve and progress, realizing that the technological and business la...
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most innovative companies and highest-performing organizations are always striving to be better and nev...
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“done” with their improvement or transfor...
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maturity models are quite often a “lock-step” or linear formula,
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Level 1” and “Level 2” look the same across all teams and organizations,
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customized approach to improvement,
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focus on capabilities that will give them the most benefit based on their current context and their short and long-term goals.
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context, their own systems, their own goals, and their own constraints, and what we should focus on next to accelerate our tra...
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capability models focus on key outcomes and how the capabilities, or levers, drive impr...
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outcome ...
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without tying it to outcomes. These end up being vanity metrics: while they can be relatively easy to measure, they don’t tell us anything about the impact they have on the business.
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maturity models define a static level of technological, process, and organizational abilities to achieve.
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Our own research and data have confirmed that the industry is changing: what is good enough and even “high-performing” today is no...
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what is good enough and even “high-performing” today is no longer good en...
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allow teams and organizations to focus on developing the skills and capabilities need...
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focusing on the right capabilities, organizations can drive improvements in their outcomes, allowing them to develop and deliver software with improved speed and stability.
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the highest performers do exactly this,
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continually reaching for gains year over year and never settling for yeste...
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Product vendors often favor capabilities that align with their product offerings.
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Consultants favor capabilities that align with their background, their offering, and their homegrown assessment tool.
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profitability, productivity, and market share.
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none
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age and technology used for the application (for example, mainframe “systems of record” vs. greenfield “systems of engagement”) whether operations teams or development teams performed deployments whether a change approval board (CAB) is implemented
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24 key capabilities
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are easy to define, measure, and improve.
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when compared to low performers, the high performers have: