As the old Irish saying goes, the luck is in believing you’re lucky. But you don’t need luck with Scale Computing…you just need edge computing. With edge computing, you can run applications and process data outside centralized data centers, at the edge of your network closest to where that data is created and utilized. Centrally monitor and manage hundreds or thousands of distributed edge infrastructure deployments with few or no on-site IT personnel.

The award winning Scale Computing HC3 Edge series brings on-premises edge computing with high availability and disaster recovery to remote locations at an affordable entry level cost. All edge models can be deployed quickly, managed locally or remotely, and can self-heal almost instantly. Enjoy affordable edge computing infrastructure that is reliable, easy to deploy, and easy to use.

Take advantage today of Scale Computing’s HC3 Edge Computing Trial, a no cost program for qualified customers to try the Scale Computing HE150 edge computing platform. Built specifically for multi-site deployments that need highly available infrastructure on-premises, with remote management, the HE150 can be deployed almost anywhere, without requiring a rack or server closet. Get hands-on experience with self-healing, right-sized infrastructure that runs critical applications right where they’re needed.

Scale Computing joined forces with select reseller partners from the award-winning Scale Computing Partner Community to offer this innovative, right-sized, all-flash, NVMe storage-based compute appliance that delivers all of the simplicity, efficiency, and enterprise-ready virtualization associated with Scale Computing’s HC3 platform. Built specifically for multi-site deployments that need highly available infrastructure on-premises and remote management, the HE150 can be deployed almost anywhere, without requiring a rack or server closet. Taking up only the space needed to stack three smartphones, it also includes disaster recovery, high availability clustering, rolling upgrades and integrated data protection.

Details of the Edge Trial include:

• HC3 self-healing technology that keeps applications running
• Simplified deployment and management
• Minimal training, with no onsite IT expertise needed
• Do more with less hardware costs and fewer resources
• Single vendor support experience
• Available as a 3+ node cluster or 1 node platform
• Qualification criteria required (10+ locations)
• The trial offer is only valid in North America, United Kingdom, Benelux, Germany, France, Switzerland, Austria and South Africa

Edge computing has been one of the hottest buzzwords in IT over the past year, and it’s easy to see why. Businesses are implementing innovative workloads using new technologies that require on-premises processing of data due to the requirements of lower latencies, the volume of data being generated, autonomy or even regulation that requires it to run outside the cloud or primary data center. In this article, we’ll take a closer look at how edge computing is transforming the industry—including how enterprises can best utilize edge computing to fuel innovation in their business strategies while protecting their data assets at the same time.

Organizations looking to deploy edge computing solutions on hyperconverged infrastructure are attracted by three main advantages of edge computing: performance, security, and cost-efficiency.

Edge computing can boost application performance in several ways: The speed at which data is processed increases by reducing latency and allowing critical operations to occur at local nodes. All of these benefits improve the overall end-user experience.

In terms of flexibility, edge computing technologies offer clear benefits over their more traditional counterparts deployed in conventional data centers.

Where Edge Computing and Hyperconverged Infrastructure Intersect

Edge computing is one of those terms that’s been thrown around a lot lately, but what does it mean? Edge computing involves placing compute resources closer to where data is generated and used rather than sending all data back to centralized servers or the public cloud. This enables the adoption of new applications and use cases such as AI/ML, augmented reality, computer vision, etc. where additional data generated and processed at the edge has a direct impact on the organization (higher revenues, lower costs, or potentially both depending on the environment). The benefit is clear: lower latency times and better performance for applications.

Edge computing requires businesses to rethink their relationship with managing infrastructure, but many CIOs may not fully understand how an enterprise can leverage edge computing. Often unique in edge computing deployments are the lack of on-premises IT expertise to deploy and manage infrastructure, and legacy workloads that need to be run on-premises with newer workloads – challenges solved by edge-ready HCI.

What is hyperconverged infrastructure (HCI)? HCI pools together resources into an infrastructure that can be managed with cloud-like ease for the entire stack (hypervisor, storage, etc.). Virtualization software turns many high-performing processors into multiple virtual machines with their own virtual processors, thus allowing each OS to run its own set of programs independent of other OS running on other processors. This means that if you need more processing power in an application or system, you can add more virtual processor cores to an existing virtual machine (VM) without affecting other processes running on other VMs.

Enterprise Use Cases

Edge computing offers many use cases for hyperconverged infrastructure in addition to those already mentioned above, including cloud services, mobile/IoT device data collection and storage, business continuity/disaster recovery, and Industry 4.0 Manufacturing Automation.

Edge computing can take advantage of HCI by using shared storage between compute nodes and allowing users to manage all their edge computing workloads from a single management interface (like that of Scale Computing’s HC3). This streamlined process removes network latency caused by transferring data between sites. By storing data on edge servers that reside as close as possible to its point of origin, we reduce network traffic and make business insights actionable faster than ever before.

Today’s enterprises rapidly move away from managing isolated IT systems. They’re modernizing to gain operational excellence through integrated systems with built-in cybersecurity protections and designed for digital transformation with multiple application profiles. Using edge computing infrastructure platforms with built-in high availability (HA) will decrease costly downtime at major companies that rely on highly distributed equipment assets in each global region where they operate.

Edge Computing in Action with HCI

Now that edge computing has become a reality for enterprises, and as HCI continues to demonstrate its viability in enterprise data centers, there’s no doubt that we’ll see more and more edge computing use cases in years to come.

Edge computing has several advantages over centralized cloud architectures (which involve transferring large amounts of data from sites to a central location), including cost savings, improved performance, and higher levels of security. This makes it an ideal solution for both large businesses—companies with multiple sites that are tired of paying expensive bandwidth bills—and smaller companies that can’t afford traditional cloud costs.

The downside is that storing all your data on-premises means you have limited access to it if something goes wrong or needs maintenance. In situations like these, having an edge hyperconverged infrastructure could be just what the enterprise needs to ensure business continuity at every level. With HCI, everything sits onsite; system components are close by, so they can easily communicate with each other and quickly respond when problems arise.

HCI Changes Everything

Companies are still trying to figure out what edge computing is and how it works for them. Luckily, you don’t have to learn edge computing from scratch. The best way for most enterprises to start leveraging HCI for edge computing can be done by deploying software on edge-ready hardware that scales up when necessary, but scales down if the number of workloads decreases.

All of these advantages come with minimal costs — so much so that leading industry experts think edge computing will make hyperconverged infrastructure ubiquitous in companies of any size. And if there’s one sure thing about pervasive hyperconvergence, it’s going to change everything we know about business as usual.

Want to see edge computing and HCI in action? Request a demo today!

Edge computing is now well established as an opportunity to drive innovation by putting compute resources closer to where they are needed. From manufacturers who are applying edge computing on the factory floor to monitor machine data and inspect outputs or a chain of retail stores that have deployed edge-based solutions to run their critical applications, the appetite for edge computing is growing by the day.

One of the first and most important steps for any edge journey begins with finding the right solution vendor. There are now dozens of vendors who offer some flavor of edge functionality – but as is the case with any enterprise technology, you’ll need to be able to read through the marketing fluff to determine which capabilities matter most to your specific use case. What follows are just a few questions that should be part of every evaluation along with a brief explanation as to why they’re important.

1. How resilient is your edge solution? What type of automated failover capabilities does the edge solution possess?

For most edge deployments, skilled IT staff are typically not on-site to troubleshoot issues when they arise. This is especially true for organizations that maintain numerous remote branch offices where technical resources are in short supply. The resilience of a prospective edge solution should be considered as a core selection criteria so you’ll want to ask several questions about how a prospective vendor ensures availability in the event of a disruptive event. A mature edge solution should be able to demonstrate how their systems can automatically failover to another node and minimize downtime in the event of a disruption.

2. What type of software do you use to manage the edge systems and what type of automation capabilities does your solution possess?

A robust edge computing solution is more than just an integrated stack of compute, networking and storage equipment (and few so-called edge vendors meet this minimum standard!). What makes edge truly deliver value, lies in the ability to intelligently orchestrate these infrastructure components as a unified whole so that your edge systems can quickly adapt to evolving conditions. The software that keeps these systems running is like the cerebral cortex of your edge network and a mature edge solution should also include built-in automation capabilities that can successfully mitigate small issues before they cascade into a full-blown outage. Beyond evaluating the intelligence of a prospective edge solution, you should also be mindful of its usability. If the software is too complex then usage will be limited to those select individuals who fully understand it. Finally, any worthy edge solution provider should be able to provide a live demonstration of their software’s capabilities. Even better, they should offer a free trial version of their edge solution to help you evaluate it in your real-world environment.

3. Are there any additional licensing fees for virtual machines?

Before you can sell your leadership team on an edge computing solution, you’ll need to understand the fully loaded costs of the infrastructure you’re buying. Imagine purchasing a new car only to find out that at the end of every year that you need to pay additional fees to fully utilize all of its capabilities? Therefore it’s important to consider all of the costs – for instance, do you need an additional license for a hypervisor like VMware or for advanced virtualization features like software defined storage? Do you need to purchase additional tools to remotely monitor remote hardware and software (i.e. VMWare vCenter or other cloud based management tools). You can read more about the hidden costs of VMware in this CRN interview with Scale Computing CEO, Jeff Ready.

4. How will maintenance and upgrades of remote devices and systems be handled?

The ease in which you can maintain your edge infrastructure should also be a key consideration when evaluating a potential solution. By their very nature, edge systems exist and operate in remote locations. This might mean a remote office far away from headquarters or it could be something even more extreme such as a freighter in the middle of the ocean. And because trained IT staff won’t be available to maintain and update these systems, it’s imperative that you understand the time and effort that will be required to keep your edge deployment up-to-date and fully operational. For organizations that have deployed edge to multiple different locations, it’s also important to assess an edge vendor’s ability to centrally deploy new functional and security updates across their estate and whether they are able to roll these out in a non-disruptive fashion.

5. How easily does your edge solution integrate with different cloud environments?

While many in the industry believe that the edge and the cloud are in fierce competition with one another, the reality is that there is a role and function for both and they should ideally complement each other. As the authors of this FCC whitepaper write, “instead of being in competition with each other, forward-looking organizations, and even many public cloud service providers, are beginning to consider how to selectively employ both.” A mature edge provider should be able to demonstrate integrations with the major public cloud providers including Amazon Web Services (AWS), Google Cloud Platform (GCP), Microsoft Azure, and IBM Cloud and should also be able to seamlessly run VMs in container environments such as Kubernetes and Docker.

6. How much training does your solution typically require for staff to be productive?

Every new solution that is introduced into your environment represents another layer of potential complexity. And while every tool will require some degree of training for the individuals tasked with managing your edge environment, the complexity of some tools will require significantly more time and effort than others. Because your IT staff already has too much on their plate, you don’t want them to have to spend days or weeks working to get certified on a new system. The most feature-rich edge solutions should pay as much attention to the usability and intuitiveness of their platform as they do to their capabilities matrix.

7. Can we speak to other customers in our industry who have deployed your edge solution?

Finally and perhaps most important of all, before making a final decision about a particular edge provider, you’ll want to speak to other businesses in your industry and their firsthand experience with a particular vendor as their insights can help identify potential issues and questions to ask by getting the unvarnished truth from other technology professionals who have actually applied the technology. Peer-review sites like Gartner Peer Insights, Spiceworks, TechValidate and TrustRadius also provide an essential lens into the real-world application of edge technologies and should be part of any due diligence process before making a final purchase decision.

The key drivers for edge computing.

Edge computing allows applications to run outside of the data center or cloud, close to where they are used and data is generated. Though edge environments are supported by some form of centralized processing, running applications locally, on-premises solves many of the intrinsic challenges of data center and cloud computing.

Data Explosion: More devices generating vast amounts of data.

IoT devices, video systems and environmental sensors are just some of the many technologies saturating our physical spaces. These devices generate massive amounts of data, much of which has value when it can be properly collected and analyzed. But bandwidth isn’t free and transferring all that data to the cloud for processing is both impractical and cost-prohibitive. Edge computing allows all this rich data to be collected and processed locally.

Resiliency: Having applications available when they are needed.

Reliable connectivity is key when applications are running from a centralized location. Whether it’s a complete outage, occasional drop or simply high error rates, any interruption is bound to affect the availability and performance of applications relying on that connection. Running applications locally means they can continue to operate as expected, even without a connection to the cloud or data center.

Latency: The impact of network distance and congestion on application response time.

Information takes time to travel across a network. The longer it takes, the more it impacts end-to-end processing times. Expectations for application response times vary from one application, and organization, to the next. However, the more an application experience benefits from a real-time response, the more important it is to remove distance as a factor. Edge computing brings applications closer to where they are used, reducing lag time and improving efficiency.

Regulation: Protecting privacy and maintaining data sovereignty.

Complying with data security and privacy regulations is both serious and non-trivial. The risk of interception and potential for regulatory non-compliance increases every time data is moved. By definition, the cloud is a fuzzy place, making it difficult to know exactly where data is and where it has been. The more data can be collected and processed on-site, the simpler maintaining compliance becomes.

How Scale Computing HC3 Edge is answering your needs.

1. HC3 Edge is right sized and edge ready.

Scale Computing HC3 Edge meets the definition of edge-ready, right-sized computing. Unlike competitive alternatives, it is not adapted from infrastructure solutions built for another purpose. It has been optimized for non-stop computing in uncontrolled, non-IT environments. Everything that can operate autonomously, does. Everything that can be fixed automatically, is. The architecture makes the platform so lightweight it utilizes a fraction of the resources of other solutions. Simply put, HC3 Edge lets you run the most applications on the smallest hardware with the most reliability and least amount of effort.

2. We remove the barriers to edge computing.

Large-scale, on-premises, distributed infrastructure deployments are the definition of an IT nightmare. Siloed, point solutions each supporting a unique application. Complex virtual environments modeled after those found in the data center. Systems that require skilled onsite support personnel. Architectures that inflate costs and underutilize resources. HC3 Edge replaces all of that with a powerful, cost-effective platform that makes edge computing easier than ever and is unmatched for reliability and availability.

3. We bring a cloud-like experience to on-premises computing.

Most of the infrastructure available for edge computing was not designed for the unique needs of the edge. Edge infrastructure should extend the best elements of both the cloud and data center to local, on-premises computing. Centralized management and monitoring with cloud-like orchestration brings the simplicity of the cloud to the world of edge computing.

4. We deliver the lowest TCO and highest ROI.

With Scale Computing HC3 Edge you eliminate cots from your application infrastructure every step of the way—purchase, deployment, management and maintenance. At the same time you maximize application uptime, use compute resources more efficiently and drastically improve IT team productivity. Add it up and you will see why Scale Computing is the only solution you can bank on.

5. We are recognized as a leader in the industry.

Scale Computing is recognized across the industry by experts such as Gartner, Forbes and IDC. We appeared in the Gartner Magic Quadrant for Hyperconverged Infrastructure Software the year it was first introduced and every year since. Our edge capabilities set us apart from our competitors in this market and year after year our award-winning solution is recognized for product excellence.