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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

The Not Safe For Families (NSFF) Component

As we mentioned earlier, one of the major issues that we faced when running the first generation of PetBattle was online trolls uploading inappropriate images to the system. This added to the operational overhead of running the platform because the PetBattle founders would have to search MongoDB for the offending images and remove them by hand—very tedious!

Ever innovating, the team decided to try and come up with an automated solution to this problem. One approach we decided to investigate was to use artificial intelligence (AI) to perform image classification on the uploaded images and incorporate this into the platform.

The field of AI in itself is a fascinating area of expertise that we won't even slightly go into here, other than to say that we are using a pre-trained image classification model served by the open source TensorFlow machine learning platform.

Great, but how do we go about running this on OpenShift?

...

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