Red Hat launches new edge capabilities alongside improved architecture

Red Hat launches new edge capabilities alongside improved architecture
Ryan is a senior editor at TechForge Media with over a decade of experience covering the latest technology and interviewing leading industry figures. He can often be sighted at tech conferences with a strong coffee in one hand and a laptop in the other. If it's geeky, he’s probably into it. Find him on Twitter: @Gadget_Ry

Open-source software giant Red Hat has launched several new edge capabilities for enterprises alongside an improved architecture.

IDC forecasts that global spending on edge computing will reach around $250.6 billion in 2024. The company’s analysts say that spending on edge software will account for approximately 21 percent of that spend.

Dave McCarthy, Research Director of Edge Strategies at IDC, says:

“Edge products and services are powering the next wave of digital transformation, globally and across nearly every industry, with edge technology vendors looking at a substantial market opportunity in the next few years. 

Software providers like Red Hat that can deliver existing datacenter technologies, like Red Hat Enterprise Linux and Red Hat OpenShift, in an edge-centric manner are well-positioned to take advantage of this shift.”

Red Hat has made several major announcements today in a bid to take advantage of the aforementioned shift.

To kick things off, the company has debuted the following edge-focused capabilities for Red Hat Enterprise Linux:

  • Rapid creation of operating system images for the edge through the Image Builder capability. This enables IT organizations to more easily create purpose-built images optimized for the broad architectural challenges inherent to edge computing but customized for the exact needs of a given deployment.
  • Remote device update mirroring to stage and apply updates at the next device reboot or power cycle, helping to limit downtime and manual intervention from IT response teams.
  • Over-the-air updates that transfer less data while still pushing necessary code, an ideal feature for sites with limited or intermittent connectivity.
  • Intelligent rollbacks built on OSTree capabilities, which enable users to provide health checks specific to their workloads to detect conflicts or code issues. When a problem is detected, the image is automatically reverted to the last good update, helping to prevent unnecessary downtime at the edge.

Red Hat’s goal by introducing these features is to make its flavour of Linux the go-to platform which can be deployed from on-premise servers to the public cloud, and from core datacentres to the devices at the very edge.

The next announcement is a new edge architecture expansion for OpenShift.

Red Hat first introduced 3-node cluster support for OpenShift back in August with the intention of bringing the capabilities of the enterprise Kubernetes platform to the network’s edge. The company is now expanding it further.

New remote worker nodes enable individual workers to be placed in remote locations. These workers can be monitored and managed by supervisor nodes set up at larger sites like a core or datacentre.

Stefanie Chiras, SVP and GM of Red Hat Enterprise Linux, comments:

“Red Hat strongly believes that without open hybrid cloud, the concept of edge computing as we know it does not exist. Enterprise-grade Linux and comprehensive Kubernetes platforms form the backbone of the hybrid cloud, making these technologies critical to the continued growth of edge computing.

The new capabilities for Red Hat Enterprise Linux and Red Hat OpenShift further drive home this point, making it possible for enterprises to build on open, standards-based innovation across their entire IT estate, from server rooms and virtual environments to public clouds and the most remote locations of their enterprise networks.”

Red Hat recently published an open-source blueprint for how the industrial/manufacturing industry could harness the powerful combination of edge technology with artificial intelligence to improve their operations.

In the following example blueprint, Red Hat shows how a manufacturing firm could use the various technologies for machine inference-based anomaly detection:

The announcements made by Red Hat this week show the company is keen to take a decent slice of that $250.6 billion pie forecast for 2024. Can’t say we blame them.

Want to learn more about topics like this from thought leaders in the space? Find out more about the Edge Computing Expo, a brand new, innovative event and conference exploring the edge computing ecosystem.

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