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

Advanced Deployment Considerations

Earlier in this chapter, we explained the practice of Design of Experiments and how we intend to take an experimental mindset to our development, especially where assumptions and hypotheses have been formed in our Discovery Loop practices.

The OpenShift platform enables several different deployment strategies that support the implementation of experiments. When we are on the Options Pivot, we should consider these strategies and which (if any) we should plan with the delivery of the associated Product Backlog item. The advanced deployment strategies we can consider include:

  • A/B Testing
  • Blue/Green Deployments
  • Canary Releases
  • Dark Launches
  • Feature Toggling

We introduce these concepts here as, from an options planning perspective, this is where we need to be aware of them. We'll return to specific implementation details in Section 6, Build It, Run It, Own It, and we'll explore how we use the resulting metrics...