Scale Computing Brings Order To Edge Computing Sprawl

Edge computing is at the peak of the cycle of exaltation now. In simple terms, it refers to computer devices and applications at the network edge. ZK Research defines this edge as anything that is not a centralized computing node; it includes campus, branch, Internet of Things (IoT), 5G and many emerging “edges”.

Companies today are already struggling to manage data and resources in the cloud and now puts even more data in more distributed locations. Without the right operating tools, a business will quickly lose control of its infrastructure as edge grows and leads to “edge computing expansion”. This is similar to the challenging virtualization it had in its early days, prompting VMware to build vCenter.

Scale Computing: Early Edge Computing Provider

Scale Computing is well versed in the challenges of edge computing. The company started as a hyperconvergence infrastructure (HCI) provider, which encompasses elements of a traditional data center, including storage, computing, networking, and management.

HCI could be seen as an early version of the edge computing model. The vendor took his experience in this area and used it to build a management platform to help his customers scale edge deployments without getting stuck in complexity.

In my last ZKast interviewI spoke with Craig Theriac, VP of Product Management at Scale Computing, about how the company is helping businesses manage their edge infrastructure with its new cloud-hosted. Fleet Manager ilo. Highlights of the ZKast interview, conducted in conjunction with eWEEK eSPEAKS, are below.

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  • The idea of ​​running computing close to users has existed for a long time, but edge computing as a concept has only recently emerged. With the increase of higher yield graphic processing units (GPUs) and data processing units (DPUs), as well as flash storage becoming less expensive, edge computing has grown at an astonishing rate.
  • One of the biggest drivers of edge computing is companies that need to constantly rely on their internet connection. Regulation is another big driver. Depending on the industry and laws in specific areas, companies must retain personally identifiable information (PII) local. The last driver costs. While cost is low, it is still a concern for many companies.
  • Scale Computing infrastructure has historically been used for mission critical workloads. It provides a virtualization layer along with a storage layer and uses a hypervisor that is KVM-based. The storage layer is designed to be consumed by KVM hypervisor. This allows it to run on small form factor computing nodes.
  • Scale Computing recently launched Fleet Manager, a comprehensive tool that manages and monitors the health of a distributed IT infrastructure. Fleet Manager displays real-time conditions for a set of clusters, including storage and computing resources. So, IT teams can centrally monitor deployments — whether it’s one or 50,000 clusters — and quickly identify problem areas.
  • Fleet Manager is deployed in conjunction with Scale Computing’s HyperCore edge platform. The introduction of Fleet Manager on HyperCore is what makes a solid edge computer solution. HyperCore has built-in intelligence, which allows it to monitor thousands of conditions. For companies with multiple individual websites, Fleet Manager adds another layer to manage a set of HyperCore core groups.
  • Companies with distributed environments often do not have IT resources in place and experience hardware failure. If problems occur, Fleet Manager prioritizes what needs to be fixed and sends alerts to administrators to let them know about this site. In a retail scenario, for example, a system may remain online even if there is a node failure.
  • Retail is a big industry for edge computing. If a point of sale (POS) system fails or a customer loyalty program does not work, buyers abandon their carts and hurt the retailer’s bottom line. The retail industry requires some level of autonomy to take care of infrastructure on site, especially in rural areas.
  • Ahold Delhaize is a multi-billion dollar Belgian-based grocer, with thousands of stores worldwide. It initially deployed HyperCore, but later needed a liner as retailers continued to expand. Scale Computing has adapted Fleet Manager to the retailer’s specific use case. This allowed Ahold Delhaize to effectively manage many clusters across hundreds of stores, saving time and money.
  • Scale Computing has also recently launched a zero-touch supply with local USB support to collect configuration information from nodes. The next step on the Scale Computing roadmap is to have the configuration information directly available within Fleet Manager, which would replace manual processes.

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