Devices on the network’s edge help organizations process data and transactions quickly on site, and can cut down on redundant network traffic and the latency that comes with it. There are challenges with managing so many devices and all the data they process, though, so edge computing is still changing and improving. Here are the top 10 articles about edge computing published on the Red Hat Blog in 2024.
1. 5 concepts edge architects should know to get started
Edge computing is popular today because it solves the need for distributed computing, latency reduction, and processing data closer to the source. It’s evolved a lot since its humble beginnings in the late 1990s, and edge computing architectures have grown to be correspondingly more complex. Whether you’re starting your career as an edge architect, or your career is developing itself into that role, Gordon Haff’s article gives you a balanced and clear overview of the state of the industry today.
2. Red Hat and RISC-V: To the far edge and beyond
Red Hat has always been an advocate of growth at the intersection of open source and computing solutions. By integrating open source concepts into the hardware development process, it’s not hyperbolic to say that RISC-V is disrupting the hardware industry. Read about where RISC-V is headed in Stephen Watt’s article.
3. Revolution of retail technology: How to deliver the best integrated in-store experience to date
Whether it’s at the far edge in space, software-defined vehicles as edge computing devices, or remote sensors in the desert, edge computing is driving transformative innovation across industries, and retail is no exception. Retail is changing, and stores today need to implement a single enterprise platform for edge computing that supports AI and other critical technologies in their transformation strategy.
4. How private 5G can unlock the promise of industrial AI
A private 5G system offers unified network functionality and application connectivity close to end users, thanks to virtualized and cloud-native radio access networks (RAN) and 5G core (5GC) implementations linked by open standards-based interfaces. Private 5G can deliver the low latency, high data throughput, extended coverage, increased reliability, privacy and security footprint that manufacturers need. When deployed, a private 5G network can provide the connectivity, tools and applications necessary to infuse AI on the factory floor by running on a modernized, automated, scalable and manageable cloud-native platform with enhanced security capabilities.
5. Unleashing the potential of Intel® IPU with Red Hat OpenShift
Red Hat and Intel are collaborating on a joint solution that more seamlessly integrates Intel® IPU with Red Hat OpenShift, propelling cloud and edge computing into a new era of performance and scalability. Integrating network function chaining on the Intel® IPU and orchestrating it with business logic running on OpenShift worker nodes can help conserve energy through optimized resource utilization, enhanced efficiency, reduced overall power consumption, and industry-leading security practices. To learn how these technologies combine and work together to create a powerful infrastructure for some of the most complex use cases, read the article.
6. Deploying bare metal at the edge with Red Hat Advanced Cluster Management and zero touch provisioning
Zero touch provisioning (ZTP) leverages Red Hat Advanced Cluster Management and GitOps approaches to manage edge sites remotely, so you can deploy edge sites with declarative configurations of bare-metal equipment. In this article, you can witness everything you don’t have to think about when deploying Red Hat OpenShift using Red Hat Advanced Cluster Management, and frankly it’s a luxury to see a list of steps you don’t have to follow, for a change. You also get a realistic use case for ZTP, and learn how to implement custom resource definitions. There’s a lot packed into this one!
7. How the telco ecosystem can make a more meaningful, measurable impact on sustainability
Many service providers are looking to advanced data analytics powered by AI to help reduce network operating costs. However, AI is only as good as the data we feed it, and collecting enough accurate data in areas like traffic patterns and energy consumption across traditional and cloud and multi-vendor networks is a challenge. Back in February of 2024, Red Hat and NEC and Intel partnered to deliver an open 5G core infrastructure that helps reduce the operational expenditure associated with power cost and consumption. To learn about what’s been developing, read the article.
8. Connect hybrid cloud Kubernetes with F5 multicloud networking and Red Hat OpenShift for optimized security footprints
An organization faces numerous challenges when modernizing its applications, or when migrating from on-premises applications to cloud-native microservices. This includes deploying and managing applications at scale, coping with increased network complexity, managing costs, and ensuring security. In April of 2024, Red Hat and F5 revealed a collaboration delivering enhanced networking and security services using Red Hat OpenShift to deploy technology from F5 Distributed Cloud.
9. Customer success stories: How Red Hat delivers edge solutions for regional digital operators, smart cities, and industrial automation
When operating at the edge, a company looks to drive efficiencies and opportunities from its core business. This article covers several customer success stories, including NTT East and its Video AI service, FIWARE and eco-smart cities, and ABB’s work for sustainability. These companies chose Red Hat edge solutions to deliver regional marketing insights, to create open urban ecosystems, and to enable enterprise-grade, open source industrial edge applications.
10. Reimagining the cable industry by unlocking the power of software-defined networking, AI and edge computing
The cable industry has evolved. Once being the delivery service of disparate broadcast channels, it’s now largely a distributor of streaming services. To stay relevant, cable companies are focusing on bandwidth, latency, and intelligent content features. Networks are incorporating software-defined networking (SDN) strategies, and reducing costs while speeding up service deployment, and integrating AI. Imagine a future where cable companies are not just connectivity and content providers, but architects of advanced edge and AI-driven services in businesses and homes alike. This is achievable through a software-defined framework. Read the article to learn more about where SDN, edge computing, and the cable industry are headed.
저자 소개
Seth Kenlon is a Linux geek, open source enthusiast, free culture advocate, and tabletop gamer. Between gigs in the film industry and the tech industry (not necessarily exclusive of one another), he likes to design games and hack on code (also not necessarily exclusive of one another).
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