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From where I’m sitting, Gene is bang on the money. I help people to manage their database code. He goes on to tell us that the constraint tends to land in the following places, in order:
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What I find so amazing, is that as an organization goes from code deployment lead times that are measured in months, maybe even in quarters, down to minutes, the constraint moves in some pretty predictable ways. In Beyond the Phoenix Project, Gene Kim remarks that: There is always a bottleneck or constraint somewhere in the process that creates delays, crippling lead time and resulting in significantly larger amounts of work in progress (WIP), bigger and more complicated releases, and more frequent disasters. To improve lead time, it is necessary to understand all the work required to get a task from the backlog into production. The authors clearly explain how, by focusing on these metrics, businesses invert the core chronic conflict between dev and ops (between speed and safety) and create a virtuous cycle of smaller, more regular, and safer releases, which results in better agility, innovation, and consequently, better business outcomes. The book clearly articulates four key metrics which are demonstrated to predict both superior IT performance and positive business outcomes (including profitability, market share, and productivity) in any organization. In 2018 Nicole Forsgren, Gene Kim, and Jez Humble gave us Accelerate.
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Needless to say, this blog post got a bit long. And since theory is largely hypothetical unless it’s turned into practice, I wanted to include a step-by-step walk-through so that you, dear reader, can create your own proof of concept. It’s also a fascinating technical challenge, often combining infrastructure-as-code, test data management, automation, and interesting data virtualization techniques. It’s a crucial part of any development process and has an enormous impact on productivity, quality, and security. I wanted to write about self-service database environment creation.