Start and Scaling Devops in the Enterprise
BookBaby, 2016. okt. 18. - 98 oldal
DevOps is a fundamental shift in how leading edge companies are starting to manage their software and IT work. Businesses need to move more quickly than ever before, and large software organizations are applying these DevOps principles to develop new software faster than anyone previously thought possible. DevOps started in small organizations and in large organizations that had or created architectures that enabled small teams to independently develop, qualify, and deploy code. The impact on productivity is so dramatic that larger organizations with tightly coupled architectures are realizing they either need to embrace DevOps or be left behind. The biggest challenge is that they can’t just empower small teams to work independently because their legacy architectures require coordinating the development, qualification, and deployment of code across hundreds of people. They need a DevOps approach that not only addresses their unique challenges, but also helps them reach an organization-wide agreement on where to start and how to scale DevOps. That is where Starting and Scaling DevOps in the Enterprise comes in. Starting and Scaling DevOps in the Enterprise is a quick, easy-to-read guide that helps structure those improvements by providing a framework that large organizations can use to understand DevOps principles in the context of their current development processes and gain alignment across the organization for successful implementations. The book illustrates how to analyze your current development and delivery processes to ensure you gain positive momentum by implementing the DevOps practices that will have the greatest immediate impact on the productivity of your organization, with the goal of achieving continuous improvement over time.
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Additionally align application approval processes auditing automated testing batch sizes biggest issues biggest sources bottleneck business idea Chapter code into production code issues common complex DPs complex systems configuration continuous integration coordinating creating cultural changes cycle database David Farley debugging defects deploy code DevOps practices documented efficient elephant enable ensure executives feedback firmware fixing frequently gating code green builds implement important infrastructure as code ITIL Jez Humble large organizations leading edge companies loosely coupled architectures manual testing metrics monitoring move optimizing ownership pipeline prioritize improvements problem quality gates quickly release into production revision control separation of duties server small teams software development software development processes source control management sources of waste stable stage step subsystem system tests test automation test environments tightly coupled architectures tightly coupled systems track triage process trunk understand unit tests value stream mapping