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Bezig met laden... Accelerate: The Science of Lean Software and DevOps: Building and Scaling High Performing Technology Organizations (origineel 2018; editie 2018)door Nicole Forsgren PhD (Auteur)
Informatie over het werkAccelerate: The Science of Lean Software and DevOps: Building and Scaling High Performing Technology Organizations door Nicole Forsgren (2018)
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Meld je aan bij LibraryThing om erachter te komen of je dit boek goed zult vinden. Op dit moment geen Discussie gesprekken over dit boek. Uninspiring. Authors seem pretty concerned about explaining to you why their research uses valid methods (even including a whole section on statistics), rather than delving into the research that the title suggests the book would. Perhaps they felt they needed to prop up the research, because really all that's here are surveys with a biased sample selection and subsequent correlation investigations. I'm already on board with many of the things this book espouses, but I just couldn't get behind the way the authors approached it here. For a better treatment that doesn't try to obscure the fact that there still isn't really any true RCT-type research in this area, see Kim's earlier work [b:The Phoenix Project: A Novel About IT, DevOps, and Helping Your Business Win|17255186|The Phoenix Project A Novel About IT, DevOps, and Helping Your Business Win|Gene Kim|https://i.gr-assets.com/images/S/compressed.photo.goodreads.com/books/1361113128l/17255186._SX50_.jpg|23848838] -- a much more readable piece. geen besprekingen | voeg een bespreking toe
"Does technology actually matter? And how can we apply technology to drive business value? For years, we ?ve been told that the performance of software delivery teams doesn ?t matter ?that it can ?t provide a competitive advantage to our companies. Through four years of groundbreaking research, Dr. Nicole Forsgren, Jez Humble, and Gene Kim set out to find a way to measure software delivery performance ?and what drives it ?using rigorous statistical methods. This book presents both the findings and the science behind that research. Readers will discover how to measure the performance of their teams, and what capabilities they should invest in to drive higher performance." Geen bibliotheekbeschrijvingen gevonden. |
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Google Books — Bezig met laden... GenresDewey Decimale Classificatie (DDC)005.1Information Computing and Information Computer programming, programs, data, security ProgrammingLC-classificatieWaarderingGemiddelde:
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IT professionals are notorious for trusting what a computer says over what their fellow humans say – even when the computational figures can be shown as inaccurate. They tend to distrust “subjective” surveys (even the most rigorous) over “objective” data sources. In this work, Forsgren runs head-first against that prevailing wind to sail cleanly into the harbor of first-rate technology organizations.
In this work, these three authors share what to look for in high-performing organizations with technology centers. They distinguish those from characteristics of other clusters with mid-level or low performance. In an ever-changing, competitive tech environment, these findings, grounded in rigorous data collection and analysis, shine a light onto what to aspire towards in an IT group. Reading them can save needless experimentation as it confirms employees’ collective instincts as to the path forward.
Information technology is now central to our lives in modern societies. Thus, it is important to just about every major corporation (i.e., a “vertical”). Those who manage, work in, or interface with technology sectors can benefit from learning what a healthy tech workforce looks like. That is this book’s main audience. Researchers about, teachers of, and students in computer science serve as another market as these groups learn about what modern workplaces look like in the “real world.”
I’ve been a fan of the DevOps movement for a while now. I’ve worked in environments (academic research labs) that practice DevOps principles since 2001… well before the movement became organized. The ability to wear many hats and think through various functions just seems beneficial towards producing high-quality software. In recent years, Kim and Humble have articulated the foundations of this movement. In this book, Forsgren’s addition of grounding their theories in rigorous data analysis is welcomed and serves to transform the tech industry even further. ( )