What is Red Hat OpenShift? The OpenShift vs Kubernetes Enterprise Guide
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Red Hat OpenShift is a family of containerization software products, with its flagship being the OpenShift Container Platform. It is an enterprise-ready hybrid cloud platform built around Linux containers orchestrated and managed by Kubernetes, running on a highly secure Red Hat Enterprise Linux (RHEL) foundation.
Unlike vanilla Kubernetes—which requires engineering teams to manually integrate CI/CD pipelines, logging, monitoring, and security protocols—OpenShift comes out-of-the-box with these capabilities pre-configured. It operates as a full Internal Developer Platform (IDP).
OpenShift vs Kubernetes: The Enterprise Difference
A critical evaluation for technical architects is mapping OpenShift vs Kubernetes. The central differentiating feature between the two platforms is that the OpenShift container platform includes Kubernetes' platform and features (as well as Docker features), but Kubernetes does not include OpenShift services. Kubernetes is its own standalone option with a unique dashboard.
Moreover, though both are open-source programs, OpenShift is a paid platform service from Red Hat, while Kubernetes open-source code is a free service that can be downloaded from GitHub.
Feature
Vanilla Kubernetes
Red Hat OpenShift
Platform Type
Open-source container orchestration engine downloaded from GitHub
Paid enterprise Platform-as-a-Service (PaaS) from Red Hat
Deployment Automation
Requires manual setup of CI/CD, ingress, and routing
Lets users deploy applications directly from their source code repository (S2I)
Networking Objects
Uses standard 'Ingress' objects for external traffic routing
Uses an exclusive functional object called a 'Route' for advanced routing
OpenShift Virtualization: A Strategic VMware Alternative
As organizations navigate changing licensing models in the virtualization space, OpenShift Virtualization has emerged as a powerful alternative to VMware. By utilizing Red Hat Enterprise Linux® KVM hypervisor technology deployed via containers, OpenShift allows Kubernetes to deploy and manage traditional Virtual Machines (VMs) alongside modern container workloads.
KVM is a highly efficient Type-1 hypervisor running directly on the underlying hardware rather than a host OS. By tapping into KVM virtualization, OpenShift leverages Kubernetes resource management with requests and limits at the pod level, plus the ability to define resource quotas at the namespace level. This approach provides unparalleled consistency across both VM and container workloads within a single unified control plane.
Managed Cloud Deployments: ROSA & ARO
Universal Equations engineers infrastructure for operational visibility. Modern enterprises are increasingly adopting managed OpenShift variants to reduce Day 2 operational complexity, such as Red Hat OpenShift Service on AWS (ROSA) and Azure Red Hat OpenShift (ARO).
Red Hat OpenShift Service on AWS (ROSA): A fully managed turnkey application platform jointly engineered and supported by Red Hat and AWS.
Azure Red Hat OpenShift (ARO): Highly available, fully managed clusters jointly operated by Microsoft and Red Hat.
Red Hat OpenShift Dedicated: A managed private cluster offering available on GCP and AWS.
Interacting with the OpenShift Container Platform
When comparing OpenShift vs Docker, OpenShift lets users deploy applications directly from their source code repository using DevOps best practices. Docker can be integrated with CI/CD pipelines using the Docker CLI, but it is a much more manual process than utilizing OpenShift's native CI/CD integrations.
OpenShift streamlines standard Kubernetes interactions. While it fully supports kubectl, its native oc command-line interface offers a superset of capabilities, including direct interaction with build resources.
openshift-deploy.sh
# Log in to your OpenShift clusteroc login https://api.your-nyc-cluster.openshift.com --token=YOUR_TOKEN
# Create a new isolated project for your microservicesoc new-project enterprise-fintech-pipeline
# Deploy a containerized application directly from a Git repositoryoc new-app https://github.com/universal-equations/high-throughput-api.git
# Expose the service to the external load balanceroc expose svc/high-throughput-api
Initiating an OpenShift Pipeline Deployment
Frequently Asked Questions
Red Hat OpenShift is an open source platform for developing, deploying, and managing containerized applications. It is used to empower organizations to modernize infrastructure and securely build new applications across hybrid cloud environments.
While Kubernetes provides the core container orchestration engine, OpenShift acts as a fully realized enterprise layer on top of it. OpenShift wraps Kubernetes with integrated developer tools, built-in CI/CD pipelines, strict role-based access control (RBAC), and a centralized management console.
No. AWS is a comprehensive cloud infrastructure provider. OpenShift is an orchestration platform that runs on top of infrastructure. You can run OpenShift in an on-premise NYC data center, or you can run it directly on AWS through managed services like Red Hat OpenShift Service on AWS (ROSA).
OpenShift is natively a Platform-as-a-Service (PaaS) that allows developers to focus on writing code without worrying about the underlying operating systems or hardware. However, when hosted by cloud providers, it functions as a managed service, heavily streamlining Day 2 operations for enterprise teams.
Moreover, though both are open-source programs, OpenShift is a paid platform service from Red Hat, while Kubernetes open-source code is a free service that can be downloaded from GitHub.
Yes. The central differentiating feature between the two platforms is that the OpenShift container platform includes Kubernetes' platform and features (as well as Docker features). But Kubernetes does not include OpenShift services, and it is its own standalone option, with its own unique Kubernetes dashboard.
OpenShift is a fork of Kubernetes. Case in point. OpenShift has functionality called a Route, which standard Kubernetes manages differently via Ingress.
In summary, learning Kubernetes before jumping into OpenShift is not just recommended—it's essential. By mastering the fundamentals of Kubernetes, you'll build a strong foundation for understanding how OpenShift works and be better equipped to troubleshoot and customize your environments.
OpenShift lets users deploy applications from their source code repository, following DevOps best practices. Docker can be integrated with CI/CD pipelines, using the Docker CLI, but it's a more manual process than using OpenShift integrations with the same tools.
Challenges of Container Orchestration include Operational Overhead (managing clusters and configurations can be time-consuming), Security Risks (misconfigurations can expose containers to attacks), and Tooling Complexity (integrating orchestration with CI/CD, monitoring, and logging tools requires careful planning).
OpenShift Virtualization uses Red Hat Enterprise Linux® KVM hypervisor technology deployed using containers, allowing Kubernetes to deploy and manage VMs.
Yes. OpenShift Virtualization leverages Kubernetes resource management with requests and limits at the pod level, plus the ability to define resource quotas at the namespace level. While VMware's memory management is more mature, OpenShift's approach provides consistency across VM and container workloads.
No. KVM is an example of a Type-1 hypervisor, meaning that it runs directly on the underlying hardware rather than on a host operating system. This feature makes it more efficient than Type-2 hypervisors, which run on top of a host operating system.
KVM is widely adopted today in enterprise virtualization and all kinds of cloud environments, making it the default hypervisor in OpenStack, and is used by major cloud providers such as Amazon Web Services (AWS) and Google Cloud.