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Edge

March 17, 2025 by George Crump

SDN at the Edge should be part of evaluating a VMware alternative. While organizations often focus on reducing licensing costs and simplifying data center management, they should also consider using software-defined networking at the edge. Extending SDN beyond the core to edge locations, remote offices, and branch networks further cuts costs, eases expansion, and simplifies operations. 

Conventional networking architectures face high costs and intricate configurations when implemented in distributed settings. Proprietary hardware, dedicated appliances, and vendor-specific solutions complicate and increase the expense of scaling edge networking. Furthermore, traditional SDN solutions rely on a separate application operating within a set of VMs, consuming resources that might be limited at the Edge, ultimately elevating deployment costs. 

An SDN solution integrated into the hypervisor can eliminate these challenges and bring cost-effective, policy-driven networking to edge sites.  

The Challenges of Traditional Networking at the Edge  

Many enterprises rely on branch offices, remote sites, manufacturing facilities, and IoT-driven edge computing deployments that require reliable, secure connectivity. However, networking at the edge is often limited by:  

at the edge
  • Costly proprietary hardware – Branch offices and remote sites require routers, firewalls, VPN appliances, and SD-WAN hardware, each adding expense and complexity.
  • Limited IT resources – Edge locations often lack on-site IT staff, making hardware management and troubleshooting difficult.
  • Inconsistent security – Network segmentation and firewall enforcement become complex when multiple sites rely on independent appliances or per-site policies.
  • Scalability challenges – Expanding remote networks typically require vendor-specific hardware upgrades, increasing costs.
  • Slow Expansion – Each site must be carefully planned, and IT must ensure that the exact or similar hardware is placed at the new location.

The Problems with Traditional SDN Solutions at the Edge  

Traditional SDN solutions are challenging to deploy in edge environments due to high resource consumption, added complexity, and elevated costs. Since most SDN platforms run as standalone applications within dedicated virtual machines, they require additional CPU, memory, and even hardware—resources that edge locations often cannot spare. Licensing models based on cores or ports further increase costs, making SDN adoption impractical for distributed environments. 

Key challenges of traditional SDN at the edge:  

  • High resource consumption – Requires dedicated VMs that consume CPU and memory, limiting application performance at edge sites.
  • Increased hardware costs – Edge locations may need additional servers just to support SDN functionality.
  • Complex licensing models – Many SDN solutions charge per core or per port, making widespread deployment costly.
  • Management overhead – Running SDN as a separate application means additional maintenance, updates, and security policies.

The alternative, instead, is to virtualize networking alongside compute and storage, integrated into a single platform. With this platform, organizations can extend software-defined policies and automation to remote sites without requiring expensive proprietary appliances.  

The Solution: Integrate SDN into the Hypervisor

Watch Our Integrated SDN Demonstration

To overcome the challenges of traditional networking and standalone SDN at the edge, organizations need a fully integrated SDN solution that eliminates unnecessary complexity, reduces hardware costs, and operates seamlessly within existing infrastructure. Instead of relying on separate networking appliances or resource-intensive SDN controller VMs, an integrated SDN approach builds networking capabilities directly into the data center operating platform.

By embedding SDN into the virtualization layer, organizations can extend network automation, security, and connectivity to edge locations without requiring additional hardware or per-core licensing fees. This approach removes the inefficiencies of legacy networking and makes software-defined networking practical, scalable, and cost-effective for distributed environments.

Key benefits of integrated SDN:

  • No dedicated SDN hardware required – Networking is handled within the hypervisor, eliminating the need for separate appliances or extra servers.
  • No additional resource drain – Unlike standalone SDN solutions, an integrated approach does not consume excess CPU and memory, ensuring optimal application performance at the edge.
  • Lower deployment and licensing costs – Integrated SDN eliminates per-core or per-port licensing, making it cost-effective for large-scale edge deployments.
  • Seamless network automation – Extends software-defined policies, security enforcement, and routing to edge sites without manual configuration.
  • Built-in security and segmentation – Enables per-VM and per-VDC security policies, reducing attack surfaces.
  • Scalable multi-site connectivity – Supports site-to-site VPNs and dynamic routing (BGP, OSPF, EIGRP) without external SD-WAN appliances.

at the edge

With integrated SDN, edge networking becomes a seamless extension of the data center—without additional infrastructure burden or cost.

Centralized Network Management Without Dedicated Hardware  

One of the most significant advantages of integrated SDN is the ability to manage remote locations from a single interface without requiring separate, site-specific networking appliances. IT teams can:  

  • Apply security and routing policies across all locations centrally
  • Eliminate the need for dedicated edge firewalls, routers, and VPN devices by using software-defined networking overlays
  • Reduce the need for on-site IT staff by enabling cloud-based or centralized administration

Using Virtual Data Centers and Segmentation At the Edge  

One of the biggest security risks at edge locations is network sprawl and inconsistent segmentation policies. Remote sites often connect back to the main data center without proper isolation, increasing the attack surface.  

An integrated SDN solution provides:  

  • Virtual Data Center (VDC)-level isolation to segment traffic between remote sites
  • Per-VM security policies that ensure devices and workloads remain protected regardless of location
  • Built-in firewalls without requiring additional security appliances

This approach ensures that edge workloads remain secure without the complexity of VLANs, hardware-based firewalls, or external appliances.  

at the edge

Why Now Is the Time to Use SDN  

For organizations already evaluating a VMware alternative, now is the perfect time to extend networking modernization beyond the core data center. Instead of replacing only the hypervisor, IT teams should consider how a fully integrated SDN solution can:  

  • Reduce the cost of edge networking by eliminating single-purpose hardware and SD-WAN appliances
  • Simplify network management by centralizing policy enforcement across remote sites
  • Improve security with built-in segmentation and software-defined firewalls
  • Enable future-proof scalability with vendor-neutral networking that works across hybrid, cloud, and edge environments

at the edge

A Smarter Approach Using SDN at the Edge  

A SDN solution built into the hypervisor, rather than a separate licensing tier or add-on, allows organizations to extend cost savings and network automation to all locations.  

VergeOS, with its integrated VergeFabric SDN, enables seamless, software-defined networking across distributed environments without requiring additional licensing fees or dedicated hardware.  

For organizations seeking a VMware alternative, this is the ideal time to rethink networking—not just in the data center but at the edge. Learn more about other options to proprietary networking in this blog.  

Learn More: On-Demand Demonstration  

Discover how VergeFabric can eliminate costly networking appliances while simplifying edge connectivity. Watch the on-demand webinar to see it in action.  Then, check out our hands-on labs to see for yourself how easy networking within VergeOS can be. 

Filed Under: Networking Tagged With: Edge

February 21, 2023 by George Crump

IT needs to understand Edge Computing’s unique challenges, so they can make the right infrastructure design decisions. Treating Edge Computing as a smaller version of the data center will put data at risk, increase complexity and raise costs. There are critical differences between Edge Computing, Remote Office, Branch Office (ROBO), and Core Data Center use cases:

Data Center Edge ROBO Core
Serviceability Limited Accessibility Accessible Local
Management Remote Remote Local
Data Protection Replication On-Premises On-Premises
Footprint Shelf Closet Data Center
Power Constrained Available Plentiful
Comparing Edge, ROBO and Core Data Centers

Edge Computing vs. “The Edge”

Edge Computing is different from what is commonly referred to as “the Edge.” When we refer to “the Edge” we are referring to a data collector, like a sensor or a Wi-Fi Camera, even though they too have a small processor of some sort. Edge Computing is the consolidation of processing power that gathers data from a variety of these sensors, and processes that data. The goal is to either make real-time decisions, like an autonomous vehicle, or consolidate the collected data and send a subset back to a larger data center.

While collecting sensor data and acting on it covers a wide swath of Edge Computing use cases, there are others. It might also be a Point of Sale (POS) system that an organization with dozens or hundreds of retail locations. Other Edge Computing use cases are content delivery systems, video surveillance processing and storage, as well as dynamically adapting retail advertising.

In addition to real-time decision-making, Edge locations may also, even with today’s network capabilities, be bandwidth constrained. The need to make the decision locally is instant, compared with the seconds required to send data to another location and respond with a decision. In these cases, instant versus seconds makes a critical difference. It may also be that the bandwidth to the Edge Computing location isn’t reliable enough, or that the cost to transmit a large amount of data isn’t worth the expense.

Register for this week’s Virtual CxO Roundtable to get answers to all your Edge Computing and Private Cloud questions.

What Makes Edge Computing Unique?

Edge Computing is unique from the core data center and remote office branch office in three key areas:

  • Available Space
  • Serviceability
  • Data Protection

Edge Computing is Space Constrained

Edge Computing’s unique challenges include small footprint
A Complete Data Center in a Shoebox

The first of Edge Computing’s unique challenges is the physical space available to host the infrastructure. As we indicate in our table, the available data center floor space shrinks from a full-scale facility in core, to a closet in ROBO, to, at best, a shelf in Edge Computing use cases. In some situations, the “data center” is the space underneath the cash register.

The constraints placed on Edge Computing mean that whatever infrastructure you deploy at the Edge needs to run, efficiently, in that small footprint. The good news is the hardware to accomplish the feat is available. Mini-servers, like Intel NUCs (next unit of computing), can provide plenty of processing capabilities while consuming a few dozen watts of power. The problem is finding an efficient software operating environment for those servers.

Edge Computing is Hard to Service

The second of Edge Computing’s unique challenges is that it is hard to get to, physically and maybe remotely. The lack of accessibility makes Edge Computing hardware difficult to service if something goes wrong. Most locations are not in major cities. Sometimes they are “in the middle of nowhere” on purpose because that is where the sensors perform best. Other times they are small towns, hours away from major airports. The lack of accessibility and serviceability make redundancy and remote operations critical.

Edge Computing Needs Redundant Availability

Redundant Edge Computing is something that IT planners may overlook, but because of the lack of accessibility, continuous access becomes critical. If the Edge location goes down, sensor data and remote transactions can’t process. It can mean the loss of critical information that can’t be recreated, or the loss of revenue and unhappy customers.

What to look for:

Given the space efficiency of mini-servers, it makes sense to deploy two or three units, even if one has all the processing power that the location needs. Redundancy at the Edge means that the software platform responsible for running operations needs to seamlessly fail to the surviving servers without complex changes to networking. It also means that a replacement server must be easily preconfigured to automatically join to the surviving servers when it arrives at the location.

Edge Computing Needs Redundant Operations

The Edge Computing solution should also be easy to remotely manage and operate. While most solutions provide some form of monitoring capabilities, these are often “after-the-fact” products. An add-on product creates a single point of management failure, and the Edge location doesn’t know something is “listening”. Instead, IT planners should look for solutions where reporting is the responsibility of the Edge Computing solution. The edge software platform should send its telemetry data to multiple points, which eliminates the single point of failure.

Moreover, the remote capabilities should include more than remote monitoring. It is not uncommon for Edge Computing locations to number in the dozens, if not hundreds. Having to log in to each location to perform an update or change to a security setting is incredibly time-consuming and increases the chances of human error.

What to look for:

IT planners need to look for a solution that can perform operations like updates or setting changes, globally. Executing once instead of individually logging in to each server increases the efficiency of the IT staff and lowers the overall cost of the Edge Computing initiatives.

Edge Computing is Hard to Protect

The third of Edge Computing’s unique challenges is it has unique data protection needs. In numerous instances, the Edge creates unique data that can’t be recreated if lost due to hardware failure or site disaster. The challenge is because of the lack of available space and operational concerns. There is no room or administrative staff to support on-premises backup infrastructure.

The Problems with Protecting the Edge with the Public Cloud

Many organizations will consider protecting this data in the public cloud, but end up ruling it out because:

  1. The recurring costs to store dormant data are too expensive
  2. The data is needed at core data center for further processing
  3. There is too much Edge data and not enough bandwidth
  4. Disaster recovery from the Public Cloud to the edge is difficult

What to look for:

IT planners need to look for a solution that can leverage the extra redundancy within their Edge Computing design to facilitate a reasonable on-premises data protection strategy. While protecting data within the same infrastructure does not technically meet the 3-2-1 data protection rule, it gets close. If the Edge solution can also replicate data efficiently, then it does meet the requirements of the 3-2-1 rule. Global Inline Deduplication is a critical requirement so that redundant data is only sent once and replication jobs are complete in record time.

Edge Computing is NOT Remote Office Branch Office

Remote Office and Branch Office (ROBO) IT infrastructures are not the same as Edge Computing infrastructures. First, in most cases, they are significantly easier to get to. Second, there is available space, even if it is a server closet, for a more robust infrastructure that includes data protection.

ROBO infrastructures also tend to support a wider variety of workloads, including file sharing, and multiple business applications as well as core infrastructure utilities. They do, however, share the need for remote operations and can certainly benefit from many of the capabilities that infrastructure at the Edge requires.

Most IT vendors can’t span all three use cases with a single software solution. They may address the specific needs of each use case, but they do so with alternative solutions which require unique training for each one, patch monitoring and implementation as well as unique data protection.

What to look for:

IT Planners should look for an infrastructure solution that can span all three location types and add in the public cloud. Imagine the efficiency of running the same networking, storage, and hypervisor software throughout your sprawling infrastructure.

VergeOS, One and Done

VergeIO is an ultraconverged infrastructure (UCI) company. UCI differs from Hyperconverged Infrastructure (HCI) in that it rotates the traditional three-tier IT stack (networking, storage, and compute) onto a linear plane through a single piece of software that we call VergeOS. The result is an efficient data center operating system (DCOS) that can deliver more performance and run a greater variety of workloads on less physical hardware. If you are being asked to do “more with less,” VergeOS is your solution.

In one bootable operating system you eliminate the need for separate storage software, proprietary networking hardware, independent hypervisors, separate “cloud” functionality, data protection software, disaster recovery software, and multiple management interfaces. All of these functions are included in VergeOS’s single piece of software.

VergeOS is able to address all of Edge Computing’s unique challenges. It provides

  • Downward scale to one or two nodes
  • Seamless redundancy, data protection and ransomware resiliency
  • A mesh-like management framework for monitoring and operations
  • upward scale for branch offices, core data centers and the cloud

With VergeOS, you don’t have to “go to” the cloud. You can “be the cloud.”

Next Steps

  • This week we are holding a Virtual CxO Roundtable on “Edge Computing and Private Cloud Infrastructures. We will answer questions about these two topics we’ve been collecting the last few weeks, and we’ll take questions live from our audience. If you have a question, you can submit it in the comments section below. Register
  • We also have a complete tutorial built on developing and Edge Computing Strategy. Subscribe to our Digital Learning Guide, “Creating an Edge Computing Strategy.”
  • Learn More:
    • VergeOS Atria, that enables you to Be the Cloud and Own the Edge
    • “The Three Requirements for Edge Computing“
    • “One Infrastructure for Edge and Core“

Filed Under: Edge Computing Tagged With: Blog, Edge

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