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Edge computing with Red Hat OpenShift

Updated November 6, 20253-minute read
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Overview

Red Hat® OpenShift® is an industry-leading application platform powered by Kubernetes. Red Hat OpenShift offers full-stack automated operations to manage hybrid cloud, multicloud, and edge deployments—all optimized for developer productivity.

Organizations are using cloud-native applications, virtual machines (VMs), IoT (Internet of Things), and cloud computing to deliver extraordinary customer experiences. They’re now evolving to applications powered by artificial intelligence and machine learning (AI/ML), unlocking new opportunities from data. As a result, they must distribute their IT infrastructure using edge computing to get resources as close to the data and users as possible.

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Edge computing and Red Hat OpenShift

Edge computing is the processing of applications and data at or near the physical location of the end user or data source, which provides benefits like faster response times, greater reliability, and improved data sovereignty.

Achieving successful edge computing requires applications to be quickly and consistently deployed and managed across diverse systems (e.g., automation, security), environments (bare-metal, cloud-native), and vendors. This demands that development teams create flexible applications, that IT operations teams automate management and security at scale, and that DevOps teams prepare for real-time operation across thousands of locations with varied Kubernetes cluster configurations and complex edge architectures.

Learn more about edge computing

Red Hat OpenShift addresses these challenges by extending its Kubernetes capabilities to edge environments. OpenShift enables organizations to use existing teams, tools, and processes for operational consistency, transforming edge locations and devices as a natural extension of the hybrid cloud. This approach simplifies the burden of configuring, deploying, and managing even large-scale containerized environments. It combines the flexibility of microservices, virtualization, cloud computing, and containerization with the speed of edge computing to increase functionality, decrease latency, and reduce required bandwidth.

Edge computing in action: Space

Benefits of Red Hat OpenShift at the edge

Red Hat OpenShift provides a consistent experience wherever your applications need to be— on-premise, in a cloud environment, at a remote office, or even in orbit. With Red Hat OpenShift, you have the flexibility to scale an entire deployment, inclusive of edge sites, as business strategy changes.

Red Hat OpenShift + edge gives you:

  • Information at a glance: Data-driven insights help teams gather, analyze, and turn data into actionable tasks, faster.
  • Strategic partner experience: A broad ecosystem of technology partners helps build edge deployments to meet a wide variety of use cases.
  • Flexible topology: Gain the flexibility to scale out your business and adapt deployments through topology options that fit the needs of different edge environments.
  • Scale without worry: Developers can write code and deliver deployments at scale without worrying if they will work in a particular environment.
  • Multiple configurations: Meet the varying space, power, and connectivity requirements of edge sites and edge devices with flexible configurations that include:
    • 3-node clusters of combined control plane and worker nodes.
    • A single node with both the control plane and worker functions in a smaller footprint.
    • Two-node OpenShift with arbiter for 3-node consistency and availability with a reduced hardware footprint.
    • Remote worker configurations where only the worker nodes are deployed at the edge.
  • Wide-view lens for operations: Operations teams can use Red Hat Advanced Cluster Management for Kubernetes to manage sites and clusters at scale with a single, consistent view.

Why choose Red Hat?

Whether you're building cloud-native apps, modernizing existing ones, or integrating AI capabilities, Red Hat OpenShift provides a unified platform for your entire portfolio, extending consistency across diverse infrastructures and architectures. Red Hat OpenShift is a hybrid cloud application platform with a choice of deployment and consumption options to meet the needs of your organization. It delivers a consistent experience across public cloud, on-premise, hybrid cloud, or edge architecture.

For smaller edge device deployments, Red Hat Device Edge has MicroShift, a lightweight Kubernetes distribution that is based on OpenShift. Together with Red Hat Enterprise Linux® and Red Hat Ansible ® Automation Platform, Red Hat Device Edge provides the flexibility to deploy and manage workloads on small, resource constrained devices at scale. When running AI workloads on Red Hat Device Edge, organizations can use model serving capabilities derived from Red Hat OpenShift AI (self-managed) to serve AI models locally on MicroShift. Combined with GPU hardware acceleration, this enables efficient on-device inference for real-time decision making.

Edge AI helps devices make smarter decisions faster by allowing computations to be done where data is actually collected. Red Hat OpenShift simplifies managing the AI/ML lifecycle with Red Hat OpenShift AI, an integrated MLOps platform for building, training, deploying, and monitoring predictive and gen AI models at scale across hybrid cloud environments and the edge.

Together, you get a unified yet flexible platform across clouds, data centers and topologies.

Configure your edge architecture faster

Press release

Red Hat Introduces Red Hat Edge Manager for Overseeing Fleets of Devices

Available as a technology preview, Red Hat Edge Manager delivers greater scalability, simplified management and enhanced security capabilities for managing thousands of devices from a single console

Red Hat Device Edge

A flexible platform that combines Red Hat Enterprise LinuxR and Red Hat Ansible Automation Platform with the Red Hat build of MicroShift to consistently support different workloads across small, resource-constrained devices at the farthest edge

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