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DevOps Culture and Practice with OpenShift

DevOps Culture and Practice with OpenShift

By : Tim Beattie, Mike Hepburn, Noel O'Connor, Donal Spring, Ilaria Doria
4.4 (7)
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DevOps Culture and Practice with OpenShift

DevOps Culture and Practice with OpenShift

4.4 (7)
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)
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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

Differentiating between Primary Outcomes and Enabling Outcomes

In the previous two chapters, we used several different practices to discover the Target Outcomes. Some of them are more functional-, application product-, and business-focused (the Why and Who), and some are more non-functional-focused (the How).

As we discover these different types of outcomes, we can explore relationships between them and see whether a hierarchy exists or not.

Gabrielle Benefield and Ryan Shriver explain7 that Enabling Outcomes, such as decreasing time to onboard new developers, improving test automation and reducing the time to build and deploy code, will hopefully improve primary outcomes such as improve customer experience.

This may just be a hypothesis that needs validation through experimentation and delivery.

Let's look at some common examples of outcomes that are a mix of primary and enabling outcomes.

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