DevOps is mostly about breaking down barriers between teams. An enormous amount of time is wasted with tickets sitting in queues, or individuals writing handoff documentation for the person sitting right next to them. In pathological organizations it is unsafe to ask other people questions or to look for help outside of official channels. In healthy organizations, such behavior is rewarded and supported with inquiry into why existing processes fail. Fostering a safe environment for innovation and productivity is a key challenge for leadership and directly opposes our tribal managerial instincts.
Perhaps the most visible aspect of DevOps. Many people focus on the productivity gains (output per worker per hour) as the main reason to adopt DevOps. But automation is used not just to save time, but also prevent defects, create consistency, and enable self-service.
How can you have continuous improvement without the ability to measure improvement? How do you know if an automation task is worthwhile? Basing decisions on data, rather than instinct, leads to an objective, blameless path of improvement. Data should be transparent, accessible to all, meaningful, and able to be visualized in an ad hoc manner.
Key the success of DevOps at any organization is sharing the tools, discoveries, and lessons. By finding people with similar needs across the organization, new opportunities to collaborate can be discovered, duplicate work can be eliminated, and a powerful sense of engagement can be created among the staff. Outside the organization, sharing tools and code with people in the community helps get new features implemented in open source software quickly. Conference participation leaves staff feeling energized and informed about new ways to innovate.