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OpenShift

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May 1, 2024 Updated June 26, 2025 24 minute read

OpenShift: A Comprehensive Guide for Career Explorers

OpenShift is an enterprise-grade, open-source container application platform, fundamentally built on Kubernetes. It provides developers and IT organizations with a cloud-like platform to build, deploy, and manage applications consistently across various infrastructures, whether on-premise, in public clouds, or at the edge. At its core, OpenShift aims to simplify and accelerate the application development lifecycle by providing a complete platform with integrated tools and services for container orchestration. For those new to these concepts, imagine a system that not only manages how applications run but also provides a streamlined way to get them from a developer's computer into a live environment accessible to users, all while ensuring they run smoothly and securely.

Path to OpenShift

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We've curated 11 courses to help you on your path to OpenShift. Use these to develop your skills, build background knowledge, and put what you learn to practice.
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Reading list

We've selected 17 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in OpenShift.
While not a traditional book, the official Red Hat OpenShift Container Platform documentation is an essential and continuously updated resource for anyone working with OpenShift. It provides comprehensive and accurate information on all aspects of the platform, serving as a primary reference tool for both beginners and experienced users.
Designed for SREs, system administrators, and DevOps engineers, this book focuses on the operational aspects of managing OpenShift clusters efficiently. It covers core concepts, deployment strategies, monitoring, and using Kubernetes operators. Published in late 2022, it provides contemporary insights into operating OpenShift at scale.
This handbook focuses on the contemporary topic of managing multiple OpenShift clusters, addressing challenges like vendor lock-in and providing insights into architecture and deployment scenarios. It covers OpenShift Pipelines with Tekton and OpenShift GitOps with Argo CD, making it highly relevant for advanced users and professionals dealing with complex OpenShift deployments.
Provides a comprehensive overview of OpenShift, covering both developer and operator perspectives. It offers practical, hands-on exercises and delves into core concepts like namespaces, cgroups, and SELinux. While published in 2018, it is still considered a valuable reference for understanding the foundational aspects of OpenShift built on Docker and Kubernetes.
Delves into the specific and contemporary application of OpenShift in the field of Machine Learning Operations (MLOps). It guides readers on leveraging OpenShift AI and provides practical solutions for ML model training, deployment, and operation within the OpenShift ecosystem. This valuable resource for those interested in the intersection of AI/ML and OpenShift.
Focusing on the practical application of DevOps principles with OpenShift, this book guides readers on configuring Docker containers and Kubernetes with OpenShift's tools. It's a useful resource for understanding how OpenShift facilitates a container-centric approach to cloud deployments and automating application lifecycles.
Another highly-regarded book on Kubernetes, 'Kubernetes in Action' provides a deep dive into the inner workings of Kubernetes. It is valuable for gaining a solid understanding of the platform that underpins OpenShift, offering detailed explanations and practical examples for building and deploying distributed applications.
Focuses on building and deploying highly available applications in hybrid cloud environments using OpenShift and Kubernetes. It's particularly relevant for professionals working with hybrid cloud strategies and needing to leverage OpenShift for resilient application deployments.
Given that OpenShift is built on Kubernetes, a strong understanding of Kubernetes fundamentals is crucial. widely recognized resource for learning Kubernetes from the ground up, covering its architecture, concepts, and how to deploy and manage applications. It serves as excellent background reading for anyone working with OpenShift.
Explores common patterns for designing and implementing cloud-native applications on Kubernetes. Since OpenShift is built on Kubernetes, understanding these patterns is highly relevant for building effective applications on OpenShift. It's a valuable resource for developers and architects.
Explores the intersection of cloud-native principles, DevOps practices, and Kubernetes. While not exclusively about OpenShift, it provides valuable context for understanding the environment in which OpenShift operates and how to leverage it for modern application development and operations. It's particularly relevant for those interested in the CI/CD and DevOps aspects of OpenShift.
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Focuses on the practical aspects of deploying applications to OpenShift, covering topics like building container images, automating builds, and managing persistent storage. It's a good resource for developers who need to get their applications running on the platform efficiently.
Focuses on building, deploying, and scaling applications in the cloud using cloud-native principles and Kubernetes. It aligns well with the use cases of OpenShift and provides practical guidance on implementing DevOps practices in a containerized environment.
This e-book from Red Hat focuses on leveraging open source AI tools and frameworks within a developer workflow, which can be readily applied to OpenShift environments. It's a good resource for developers looking to integrate AI/ML capabilities into their applications running on OpenShift.
Provides a broad overview of OpenShift in a question-and-answer format, covering various aspects of the platform. While it offers a wide range of topics, it may not provide the in-depth technical detail of other books. It can be useful for gaining a general understanding and identifying key areas.
An earlier book aimed at beginners, this guide provides a quick, hands-on introduction to deploying applications on OpenShift. While some of the specific instructions might be dated, the fundamental concepts for getting started remain relevant for newcomers to the platform.
This is an earlier edition of 'OpenShift for Developers: A Guide for Impatient Beginners'. While the second edition is more current, this book can still provide a foundational understanding of OpenShift from a developer's perspective. It's more valuable as additional reading or for historical context.
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