Scale Computing Brings Order to Edge Computing Sprawl

edge computing it’s at the top of the hype cycle right now. In simple terms, it refers to computing devices and applications at the edge of the network. ZK Research defines this edge as anything other than a centralized compute node; includes campus, branch, Internet of Things (IoT), 5G and numerous emerging “edges”.

Companies today are already struggling to manage data and resources in the cloud and now they are placing even more data in more distributed locations. Without the right management tools, businesses will quickly lose control of their infrastructure as the edge grows, leading to “edge computing sprawl.” This is similar to the challenge virtualization had in its early days, which led VMware to build vCenter.

Scale Computing: An Early Edge Computing Provider

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

One could consider HCI as an early version of the edge computing model. The vendor took its experience in this area and used it to create a management platform to help its customers scale edge deployments without getting bogged down in complexity.

in my last ZKast interviewI spoke with Craig Theriac, vice president of product management at Scale Computing, about how the company is helping businesses manage their edge infrastructure with its new cloud-hosted platform. fleet manager tool. Highlights from ZKast’s interview, conducted in conjunction with eWEEK eSPEAKS, are below.

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  • The idea of ​​running computing close to users has been around for a long time, but edge computing as a concept has only recently taken off. With the rise of higher performance graphics processing units (GPUs) and data processing units (DPUs), in addition to flash storage becoming less expensive, edge computing has been growing at an astonishing rate.
  • One of the biggest drivers of edge computing is businesses that need to constantly rely on their internet connection. Regulation is another big driver. Depending on the industry and laws in specific regions, companies must retain personally identifiable information (personal information) local. The last driver is cost. Although the cost is coming down, it is still a concern for many companies.
  • Historically, scale computing infrastructure has been used for mission-critical workloads. It provides a virtualization layer along with a storage layer and uses a hypervisor which is based on KVM. The storage layer is designed to be consumed by a KVM hypervisor. This allows it to run on small form factor compute nodes.
  • Scale Computing recently released Fleet Manager, a comprehensive tool that manages and monitors the health of distributed IT infrastructure. Fleet Manager displays the real-time conditions of a cluster fleet, including compute and storage resources. So IT teams can centrally monitor deployments, whether it’s one or 50,000 clusters, and quickly identify problem areas.
  • Fleet Manager is implemented in conjunction with Scale Computing’s HyperCore edge platform. The introduction of Fleet Manager in HyperCore is what makes it such a strong computing solution. HyperCore has intelligence built in, allowing it to monitor thousands of conditions. For companies with many individual sites, Fleet Manager adds another layer to manage a fleet of basic HyperCore clusters.
  • Companies with distributed environments often do not have IT resources on site and experience hardware failures. If problems occur, Fleet Manager prioritizes what needs to be fixed and sends alerts to administrators to notify them of that site. In a retail scenario, for example, a system can stay online even if a node fails.
  • Retail is a big industry for edge computing. If a point of sale (POS) system goes down or a customer loyalty program goes down, shoppers abandon their carts and hurt the retailer’s bottom line. The retail industry requires a certain level of autonomy to run infrastructure on premises, especially in rural areas.
  • Ahold Delhaize is a multi-billion dollar grocery retailer based in Belgium, with thousands of stores around the world. It initially implemented HyperCore, but then needed an overlay as retailers continued to expand. Scale Computing tailored Fleet Manager to the retailer’s specific use case. This has enabled Ahold Delhaize to effectively manage many groups in hundreds of stores, while saving time and money.
  • Scale Computing also recently launched touchless provisioning with local USB support to collect configuration information from nodes. Next on the Scale Computing roadmap is having configuration information directly available in Fleet Manager, which would replace manual processes.

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