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

Conclusion

In this chapter, we continued our journey on the Discovery loop with a focus on how we are going to deliver solutions – or, at least, how we are going to start.

We looked at DDD and, in particular, the event storming practice, which helped visualize the business process flow. Our event-driven architectures started to emerge from the Event Storm. We started to further drive user research by making bets to form our backlog for feature development.

We also looked at a couple of practices that help form non-functional work we should consider – the non-functional map and the MBPM. The latter allows us to take key measurements associated with legacy software delivery processes and identify some of the continuous delivery practices we could employ to help improve and optimize them.

This chapter and the previous chapter have enabled lots of ideas and candidates for development/configuration work. They are all visualized on the artifacts produced by the practices...