Book Image

DevOps Culture and Practice with OpenShift

By : Tim Beattie, Mike Hepburn, Noel O'Connor, Donal Spring, Ilaria Doria
Book Image

DevOps Culture and Practice with OpenShift

By: Tim Beattie, Mike Hepburn, Noel O'Connor, Donal Spring, Ilaria Doria

Overview of this book

DevOps Culture and Practice with OpenShift features many different real-world practices - some people-related, some process-related, some technology-related - to facilitate successful DevOps, and in turn OpenShift, adoption within your organization. It introduces many DevOps concepts and tools to connect culture and practice through a continuous loop of discovery, pivots, and delivery underpinned by a foundation of collaboration and software engineering. Containers and container-centric application lifecycle management are now an industry standard, and OpenShift has a leading position in a flourishing market of enterprise Kubernetes-based product offerings. DevOps Culture and Practice with OpenShift provides a roadmap for building empowered product teams within your organization. This guide brings together lean, agile, design thinking, DevOps, culture, facilitation, and hands-on technical enablement all in one book. Through a combination of real-world stories, a practical case study, facilitation guides, and technical implementation details, DevOps Culture and Practice with OpenShift provides tools and techniques to build a DevOps culture within your organization on Red Hat's OpenShift Container Platform.
Table of Contents (30 chapters)
Free Chapter
2
Section 1: Practices Make Perfect
6
Section 2: Establishing the Foundation
11
Section 3: Discover It
15
Section 4: Prioritize It
17
Section 5: Deliver It
20
Section 6: Build It, Run It, Own It
24
Section 7: Improve It, Sustain It
27
Index
Appendix B – Additional Learning Resources

Section 5: Deliver It

In Section 4, Prioritize It, we moved through the Options Pivot for the first time. We took all of the learning and ideas that can come out of the practices used on the Discovery Loop and applied more practices to organize them according to their value. We used prioritization techniques to help us slice value and considered how to plan and design experiments that could be run by making use of advanced deployment capabilities offered by the OpenShift platform.

As outlined in the Mobius Outcome Delivery QuickStart Guide by Gabrielle Benefield and Ryan Shriver (freely available to download from mobiusloop.com), Mobius encourages product development through the use of continuous discovery, validation, and learning. Building products this way requires a strong foundation of culture and technical practices that enable an ongoing experimental fast release and fast feedback approach. Indeed, ongoing research and experiments are just as much part of product development...