payment function In the first of three articles on why and how service providers and enterprises are taking advantage of the edge, we describe the growth of the edge market and how open source software is playing a key role in delivering processing advantages. of edge computing data as a natural extension of an open hybrid cloud architecture.
In this second article, we consider how organizations can facilitate their own projects and implementations by leveraging Validated Patterns (VPs), which are real-world examples, based on customer use cases and designed to speed up POC (proof of concept) to production. We also discuss some key edge use cases that illustrate how real customers are taking full advantage of the edge.
For many businesses, it can be more efficient and cost-effective to process data close to where it is needed, at the edge. This could be in a factory, university or hospital, for example, or the closest point of the mobile network used by the organization.
The benefits are clear. Edge computing enables faster decisions as data is processed and analyzed where it is generated, i.e. not in a remote data center or cloud. Edge installations also mitigate intermittent connectivity and network latency issues that remote data processing often entails. Edge deployments contribute to operational resiliency and efficiency. For example, network capacity costs decrease as the amount of network traffic generated by the organization is reduced.
Open source edge solutions
Open source edge solutions are key to increasing application speed, improving productivity, and making operations easier to manage, as they better support integration between services and generally prove to be more scalable and cost-effective. Many organizations are adopting open source containers and using open source container orchestration and management software, such as Kubernetes, as part of supporting their open hybrid cloud strategies.
Red Hat Enterprise Linux and Red Hat OpenShift are among the open source solutions that help edge work by providing a common infrastructure that can be extended across organizations’ IT and OT (operational technology) systems, as well as organizations. public, core, and edge cloud deployments. Red Hat technology is customizable to user needs, you don’t have to start from scratch, and you can see it clearly within the source code, so there are no surprises. So. If a customer wants to understand how a subsystem works, they can open the code and see for themselves. This is not the case with proprietary solutions, Red Hat points out.
Red Hat helps new users to edge computing with its validated patterns. They are pre-built, pre-integrated and validated configurations, containing all the infrastructure needed to enable partners, SIs, consultants and customers to build their edge solutions, so you can go from zero to POC faster. All steps are fully automated through GitOps processes to automate deployments consistently, across multiple locations, and at scale.
And, unlike other typical point-in-time reference architectures, these validated patterns are continually tested against current product versions, so your implementation stays current. This reduces risk when using the latest capabilities. You can further customize this foundational architecture to meet the needs of your use case. Also, instead of just a paper document outlining the steps required to deploy a configuration, validated patterns are publicly available in ready-to-deploy git repositories.
Shane Madigan, Senior Principal Portfolio Manager, Edge Computing at Red Hat, says, “Red Hat Validated Patterns are pre-built, tested, and freely available. Validated Patterns help organizations accelerate edge computing proof-of-concepts and strengthen your edge infrastructure faster.”
There are three publicly available VPs https://redhat-gitops-patterns.io/], thus far, covering GitOps Multicloud, Industrial Edge, and Medical Diagnostics, with others to be added as we go through 2022. Additionally, third parties can submit their own patterns via The hybrid-cloud-patterns.io place. This includes links to the Red Hat generated patterns git repository, but only redhat-gitops-patterns.io goes through the company’s internal testing process to be validated. Once a pattern is validated, all VPs go through Red Hat’s internal testing.
VPs generated by Red Hat are accompanied by complete installation instructions. For the VP of Industrial Edge, for example, you must have at least one Red Hat OpenShift cluster running. It is desirable to have one cluster to deploy the data center assets and a separate cluster or clusters for the factory assets.
If you don’t have a Red Hat OpenShift cluster running, you can start one in a public or private cloud using Red Hat’s cloud service.
You must fork the Industrial Edge repository on GitHub. Forking is necessary because your fork will be updated as part of the GitOps and DevOps processes. This is the case for using either VP, says Red Hat. Red Hat OpenShift’s validated pattern operator makes this very simple, as it will clone the repository as part of the configuration process.
GitOps and DevOps can be used for a number of demonstrations, to change both the configuration information and the applications to be deployed. It’s also highly customizable, Madigan says, “so if a user wanted to modify parts of a pattern to make the environment more suitable for their use, it’s relatively easy with GitOps, which is why VPs build on this.” .
Let’s take a look at a few case studies that showcase some of the many ways Red Hat’s cutting-edge technology is being put to work.
In March 2021, Leaf Space and LEOcloud teamed up to integrate their services, allowing end users to connect to satellite data providers and operate in a hybrid cloud environment at the edge of space.
Leaf Space operates in the emerging ground segment as a service (GSaaS) market, working with space and satellite customers to increase throughput and availability of critical data, while reducing costs and latency.
LEOcloud’s space edge strategy is to bring hybrid cloud edge computing services as close as possible to satellite-sourced data or data collected from remote regions of the world. End users can then operate their mission-critical or business applications or services in a transparent hybrid cloud environment and get the lowest possible latency for conversion from raw to monetized or actionable data.
LEOcloud has implemented Red Hat OpenShift, the Kubernetes-based enterprise platform, to provide a consistent experience across all environments, including Low Earth Orbit (LEO). Kubernetes helps automate application deployment, scaling, and operations, and OpenShift is the container platform that works with Kubernetes to help applications run more efficiently. Users will be able to run LEOcloud services across the entirety of the hybrid cloud, even at the edge, unlocking more speed, agility and flexibility, the company says.
Edge Computing is a key component of the 5G mobile network platform. And unsurprisingly, the giants of mobile telecommunications equipment are piling into this market. For example, Samsung Electronics has created a secure containerized network which provides AI and edge management solutions designed to help businesses get the most out of 5G.
Samsung Electronics is creating a consistent hybrid cloud environment using Red Hat OpenShift Container Platform and Red Hat OpenShift Data Foundation for storage. Built on Red Hat Enterprise Linux, Red Hat OpenShift provides strong automation capabilities and modular flexibility to Samsung, backed by integrated software-defined storage through the OpenShift Data Foundation.
With this new infrastructure in place, Samsung is accelerating edge data processing in a distributed cloud architecture. The benefits of this implementation, according to the company, are faster delivery of new applications using real-time edge data, including machine learning workloads, scalability to respond to 5G data growth, improved security and application performance, and reduced operating and management costs.
drive to the edge
Vehicles are increasingly becoming mobile data centers with advanced driver assistance and infotainment systems. Development is also moving in the direction of highly automated and autonomous driving. With these changes, the underlying operating system plays a critical role in the emerging software stack.
Currently, automotive software is based on proprietary, functionally limited and rather “slow” components that minimize potential risks and errors. These solution approaches no longer meet new requirements, which include vehicle systems that require real-time data processing and high computing power. In response, OEMs are considering new development approaches for connectivity, mobility, and autonomous driving.
In April 2021, Red Hat announced its intention to offer a Linux operating system with functional security certification. Red Hat In-Vehicle Operating System will give automakers more flexibility and enable a shift in focus toward developing innovative applications, services, and functionality around the car of the future. A standardized and functionally secure Linux operating system can act as a strong foundation for all OEM-specific software platforms above it, allowing them to differentiate themselves with new features and services.
That’s Edge Market, Edge Open Source, Edge Use Cases, and Edge Deployment Help Covered. In the third and final article, we’ll take a closer look at Industry 4.0: why smart manufacturing is nearing the edge, and how key industry partnerships are enabling this to happen.
Sponsored by Red Hat.