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

Which One Should I Use?

The CI/CD tooling landscape is massive15 and also extremely vibrant and healthy. The CNCF landscape for tools in this category has no less than 36 products and projects today. In trying to answer the question of which one you should use; it is best to consider multiple factors:

  • Does your team have previous skills in a certain tooling or language? For example, pipelines as code in Jenkins use the Groovy language, so if your team has Groovy or JavaScript skills, this could be a good choice.
  • Does the tool integrate with the platform easily? Most of the tools in CNCF have good integration with Kubernetes already and have a cloud-native pedigree. That does not mean that all tools are the same in terms of deployment, platform integration, or lifecycle management—some may be Software as a Service (SaaS)-only offerings with agents, whereas some can be deployed per team using namespace isolation on your cluster. Others, such as Argo CD and Tekton...