Providing Out-of-Band Connectivity to Mission-Critical IT Resources

Why Gen 3 Out-of-Band Is Your Strategic Weapon in 2025

Mike Sale – Why Gen 3 Out-of-Band is Your Strategic Weapon

I think it’s time to revisit the old school way of thinking about managing and securing IT infrastructure. The legacy use case for OOB is outdated. For the past decade, most IT teams have viewed out-of-band (OOB) as a last resort; an insurance policy for when something goes wrong. That mindset made sense when OOB technology was focused on connecting you to a switch or router.

Technology and the role of IT have changed so much in the last few years. There’s a lot more pressure on IT folks these days! But we get it, and that’s why ZPE’s OOB platform has changed to help you.

At a minimum, you have to ensure system endpoints are hardened against attacks, patch and update regularly, back up and restore critical systems, and be prepared to isolate compromised networks. In other words, you have to make sure those complicated hybrid environments don’t go off the rails and cost your company money. OOB for the “just-in-case” scenario doesn’t cut it anymore, and treating it that way is a huge missed opportunity.

Don’t Be Reactive. Be Resilient By Design.

Some OOB vendors claim they have the solution to get you through installation day, doomsday, and everyday ops. But if I’m candid, ZPE is the only vendor who can live up to this standard.   We do what no one else can do! Our work with the world’s largest, most well-known hyperscale and tech companies proves our architecture and design principles.

This Gen 3 out-of-band (aka Isolated Management Infrastructure) is about staying in control no matter what gets thrown at you.

OOB Has A New Job Description

Out-of-band is evolving because of today’s radically different network demands:

  • Edge computing is pushing infrastructure into hard-to-reach (sometimes hostile) environments.
  • Remote and hybrid ops teams need 24/7 secure access without relying on fragile VPNs.
  • Ransomware and insider threats are rising, requiring an isolated recovery path that can’t be hijacked by attackers.
  • Patching delays leave systems vulnerable for weeks or months, and faulty updates can cause crashes that are difficult to recover from.
  • Automation and Infrastructure as Code (IaC) are no longer nice-to-haves – they’re essential for things like initial provisioning, config management, and everyday ops.

It’s a lot to add to the old “break/fix” job description. That’s why traditional OOB solutions fall short and we succeed. ZPE is designed to help teams enforce security policies, manage infrastructure proactively, drive automation, and do all the things that keep the bad stuff from happening in the first place. ZPE’s founders knew this evolution was coming, and that’s why they built Gen 3 out-of-band.

Gen 3 Out-of-Band Is Your Strategic Weapon

Unlike normal OOB setups that are bolted onto the production network, Gen 3 out-of-band is physically and logically separated via Isolated Management Infrastructure (IMI) approach. That separation is key – it gives teams persistent, secure access to infrastructure without touching the production network.

This means you stay in control no matter what.

Gen 3 out-of-band management uses IMI

Image: Gen 3 out-of-band management takes advantage of an approach called Isolated Management Infrastructure, a fully separate network that guarantees admin access when the main network is down.

Imagine your OOB system helping you:

  • Push golden configurations across 100 remote sites without relying on a VPN.
  • Automatically detect config drift and restore known-good states.
  • Trigger remediation workflows when a security policy is violated.
  • Run automation playbooks at remote locations using integrated tools like Ansible, Terraform, or GitOps pipelines.
  • Maintain operations when production links are compromised or hijacked.
  • Deploy the Gartner-recommended Secure Isolated Recovery Environment to stop an active cyberattack in hours (not weeks).

 

Gen 3 out-of-band is the dedicated management plane that enables all these things, which is a huge strategic advantage. Here are some real-world examples:

  • Vapor IO shrunk edge data center deployment times to one hour and achieved full lights-out operations. No more late-night wakeup calls or expensive on-site visits.
  • IAA refreshed their nationwide infrastructure while keeping 100% uptime and saving $17,500 per month in management costs.
  • Living Spaces quadrupled business while saving $300,000 per year. They actually shrunk their workload and didn’t need to add any headcount.

OOB is no longer just for the worst day. Gen 3 out-of-band gives you the architecture and platform to build resilience into your business strategy and minimize what the worst day could be.

Mike Sale on LinkedIn

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Why AI System Reliability Depends On Secure Remote Network Management

Thumbnail – AI System Reliability

AI is quickly becoming core to business-critical ops. It’s making manufacturing safer and more efficient, optimizing retail inventory management, and improving healthcare patient outcomes. But there’s a big question for those operating AI infrastructure: How can you make sure your systems stay online even when things go wrong?

AI system reliability is critical because it’s not just about building or using AI – it’s about making sure it’s available through outages, cyberattacks, and any other disruptions. To achieve this, organizations need to support their AI systems with a robust underlying infrastructure that enables secure remote network management.

The High Cost of Unreliable AI

When AI systems go down, customers and business users immediately feel the impact. Whether it’s a failed inference service, a frozen GPU node, or a misconfigured update that crashes an edge device, downtime results in:

  • Missed business opportunities
  • Poor customer experiences
  • Safety and compliance risks
  • Unrecoverable data losses

So why can’t admins just remote-in to fix the problem? Because traditional network infrastructure setups use a shared management plane. This means that management access depends on the same network as production AI workloads. When your management tools rely on the production network, you lose access exactly when you need it most – during outages, misconfigurations, or cyber incidents. It’s like if you were free-falling and your reserve parachute relied on your main parachute.

Direct remote access is risky

Image: Traditional network infrastructures are built so that remote admin access depends at least partially on the production network. If a production device fails, admin access is cut off.

This is why hyperscalers developed a specific best practice that is now catching on with large enterprises, Fortune companies, and even government agencies. This best practice is called Isolated Management Infrastructure, or IMI.

What is Isolated Management Infrastructure?

Isolated Management Infrastructure (IMI) separates management access from the production network. It’s a physically and logically distinct environment used exclusively for managing your infrastructure – servers, network switches, storage devices, and more. Remember the parachute analogy? It’s just like that: the reserve chute is a completely separate system designed to save you when the main system is compromised.

IMI separates management access from the production network

Image: Isolated Management Infrastructure fully separates management access from the production network, which gives admins a dependable path to ensure AI system reliability.

This isolation provides a reliable pathway to access and control AI infrastructure, regardless of what’s happening in the production environment.

How IMI Enhances AI System Reliability:

  1. Always-On Access to Infrastructure
    Even if your production network is compromised or offline, IMI remains reachable for diagnostics, patching, or reboots.
  2. Separation of Duties
    Keeping management traffic separate limits the blast radius of failures or breaches, and helps you confidently apply or roll back config changes through a chain of command.
  3. Rapid Problem Resolution
    Admins can immediately act on alerts or failures without waiting for primary systems to recover, and instantly launch a Secure Isolated Recovery Environment (SIRE) to combat active cyberattacks.
  4. Secure Automation
    Admins are often reluctant to apply firmware/software updates or automation workflows out of fear that they’ll cause an outage. IMI gives them a safe environment to test these changes before rolling out to production, and also allows them to safely roll back using a golden image.

IMI vs. Out-of-Band: What’s the Difference?

While out-of-band (OOB) management is a component of many reliable infrastructures, it’s not sufficient on its own. OOB typically refers to a single device’s backup access path, like a serial console or IPMI port.

IMI is broader and architectural: it builds an entire parallel management ecosystem that’s secure, scalable, and independent from your AI workloads. Think of IMI as the full management backbone, not just a side street or second entrance, but a dedicated freeway. Check out this full breakdown comparing OOB vs IMI.

Use Case: Finance

Consider a financial services firm using AI for fraud detection. During a network misconfiguration incident, their LLMs stop receiving real-time data. Without IMI, engineers would be locked out of the systems they need to fix, similar to the CrowdStrike outage of 2024. But with IMI in place, they can restore routing in minutes, which helps them keep compliance systems online while avoiding regulatory fines, reputation damage, and other potential fallout.

Use Case: Manufacturing

Consider a manufacturing company using AI-driven computer vision on the factory floor to spot defects in real time. When a firmware update triggers a failure across several edge inference nodes, the primary network goes dark. Production stops, and on-site technicians no longer have access to the affected devices. With IMI, the IT team can remote-into the management plane, roll back the update, and bring the system back online within minutes, keeping downtime to a minimum while avoiding expensive delays in order fulfillment.

How To Architect for AI System Reliability

Achieving AI system reliability starts well before the first model is trained and even before GPU racks come online. It begins at the infrastructure layer. Here are important things to consider when architecting your IMI:

  • Build a dedicated management network that’s isolated from production.
  • Make sure to support functions such as Ethernet switching, serial switching, jumpbox/crash-cart, 5G, and automation.
  • Use zero-trust access controls and role-based permissions for administrative actions.
  • Design your IMI to scale across data centers, colocation sites, and edge locations.

How the Nodegrid Net SR isolates and protects the management network.

Image: Architecting AI system reliability using IMI means deploying Ethernet switches, serial switches, WAN routers, 5G, and up to nine total functions. ZPE Systems’ Nodegrid eliminates the need for separate devices, as these edge routers can host all the functions necessary to deploy a complete IMI.

By treating management access as mission-critical, you ensure that AI system reliability is built-in rather than reactive.

Download the AI Best Practices Guide

AI-driven infrastructure is quickly becoming the industry standard. Organizations that integrate an Isolated Management Infrastructure will gain a competitive edge in AI system reliability, while ensuring resilience, security, and operational control.

To help you implement IMI, ZPE Systems has developed a comprehensive Best Practices Guide for Deploying Nvidia DGX and Other AI Pods. This guide outlines the technical success criteria and key steps required to build a secure, AI-operated network.

Download the guide and take the next step in AI-driven network resilience.

Cloud Repatriation: Why Companies Are Moving Back to On-Prem

Cloud Repatriation

The Shift from Cloud to On-Premises

Cloud computing has been the go-to solution for businesses seeking scalability, flexibility, and cost savings. But according to a 2024 IDC survey, 80% of IT decision-makers expect to repatriate some workloads from the cloud within the next 12 months. As businesses mature in their digital journeys, they’re realizing that the cloud isn’t always the most effective – or economical – solution for every application.

This trend, known as cloud repatriation, is gaining momentum.

Key Takeaways From This Article:

  • Cloud repatriation is a strategic move toward cost control, improved performance, and enhanced compliance.
  • Performance-sensitive and highly regulated workloads benefit most from on-prem or edge deployments.
  • Hybrid and multi-cloud strategies offer flexibility without sacrificing control.
  • ZPE Systems enables enterprises to build and manage cloud-like infrastructure outside the public cloud.

What is Cloud Repatriation?

Cloud repatriation refers to the process of moving data, applications, or workloads from public cloud services back to on-premises infrastructure or private data centers. Whether driven by cost, performance, or compliance concerns, cloud repatriation helps organizations regain control over their IT environments.

Why Are Companies Moving Back to On-Prem?

Here are the top six reasons why companies are moving away from the cloud and toward a strategy more suited for optimizing business operations.

1. Managing Unpredictable Cloud Costs

While cloud computing offers pay-as-you-go pricing, many businesses find that costs can spiral out of control. Factors such as unpredictable data transfer fees, underutilized resources, and long-term storage expenses contribute to higher-than-expected bills.

Key Cost Factors Leading to Cloud Repatriation:

  • High data egress and transfer fees
  • Underutilized cloud resources
  • Long-term costs that outweigh on-prem investments

By bringing workloads back in-house or pushed out to the edge, organizations can better control IT spending and optimize resource allocation.

2. Enhancing Security and Compliance

Security and compliance remain critical concerns for businesses, particularly in highly regulated industries such as finance, healthcare, and government.

Why cloud repatriation boosts security:

  • Data sovereignty and jurisdictional control
  • Minimized risk of third-party breaches
  • Greater control over configurations and policy enforcement

Repatriating sensitive workloads enables better compliance with laws like GDPR, CCPA, and other industry-specific regulations.

3. Boosting Performance and Reducing Latency

Some workloads – especially AI, real-time analytics, and IoT – require ultra-low latency and consistent performance that cloud environments can’t always deliver.

Performance benefits of repatriation:

  • Reduced latency for edge computing
  • Greater control over bandwidth and hardware
  • Predictable and optimized infrastructure performance

Moving compute closer to where data is created ensures faster decision-making and better user experiences.

4. Avoiding Vendor Lock-In

Public cloud platforms often use proprietary tools and APIs that make it difficult (and expensive) to migrate.

Repatriation helps businesses:

  • Escape restrictive vendor ecosystems
  • Avoid escalating costs due to over-dependence
  • Embrace open standards and multi-vendor flexibility

Bringing workloads back on-premises or adopting a multi-cloud or hybrid strategy allows businesses to diversify their IT infrastructure, reducing dependency on any one provider.

5. Meeting Data Sovereignty Requirements

Many organizations operate across multiple geographies, making data sovereignty a major consideration. Laws governing data storage and privacy can vary by region, leading to compliance risks for companies storing data in public cloud environments.

Cloud repatriation addresses this by:

  • Storing data in-region for legal compliance
  • Reducing exposure to cross-border data risks
  • Strengthening data governance practices

Repatriating workloads enables businesses to align with local regulations and maintain compliance more effectively.

6. Embracing a Hybrid or Multi-Cloud Strategy

Rather than choosing between cloud or on-prem, forward-thinking companies are designing hybrid and multi-cloud architectures that combine the best of both worlds.

Benefits of a Hybrid or Multi-Cloud Strategy:

  • Leverages the best of both public and private cloud environments
  • Optimizes workload placement based on cost, performance, and compliance
  • Enhances disaster recovery and business continuity

By strategically repatriating specific workloads while maintaining cloud-based services where they make sense, businesses achieve greater resilience and efficiency.

The Challenge: Retaining Cloud-Like Flexibility On-Prem

Many IT teams hesitate to repatriate due to fears of losing cloud-like convenience. Cloud platforms offer centralized management, on-demand scaling, and rapid provisioning that traditional infrastructure lacks – until now.

That’s where ZPE Systems comes in.

ZPE Systems Accelerates Cloud Repatriation

For over a decade, ZPE Systems has been behind the scenes, helping build the very cloud infrastructures enterprises rely on. Now, ZPE empowers businesses to reclaim that control with:

  • The Nodegrid Services Router platform: Bringing cloud-like orchestration and automation to on-prem and edge environments
  • ZPE Cloud: A unified management layer that simplifies remote operations, provisioning, and scaling

With ZPE, enterprises can repatriate cloud workloads while maintaining the agility and visibility they’ve come to expect from public cloud environments.

How the Nodegrid Net SR isolates and protects the management network.

The Nodegrid platform combines powerful hardware with intelligent, centralized orchestration, serving as the backbone of hybrid infrastructures. Nodegrid devices are designed to handle a wide variety of functions, from secure out-of-band management and automation to networking, workload hosting, and even AI computer vision. ZPE Cloud serves as the cloud-based management and orchestration platform, which gives organizations full visibility and control over their repatriated environments..

  • Multi-functional infrastructure: Nodegrid devices consolidate networking, security, and workload hosting into a single, powerful platform capable of adapting to diverse enterprise needs.
  • Automation-ready: Supports custom scripts, APIs, and orchestration tools to automate provisioning, failover, and maintenance across remote sites.
  • Cloud-based management: ZPE Cloud provides centralized visibility and control, allowing teams to manage and orchestrate edge and on-prem systems with the ease of a public cloud.

Ready to Explore Cloud Repatriation?

Discover how your organization can take back control of its IT environment without sacrificing agility. Schedule a demo with ZPE Systems today and see how easy it is to build a modern, flexible, and secure on-prem or edge infrastructure.

Lantronix G520: Alternative Options

The G520 is a series of cellular gateways from Lantronix designed for industrial Internet of Things (IIoT), security, and transport use cases. While it provides redundant networking capabilities, it lacks critical resilience features such as out-of-band management (OOBM). This guide explains where the G520 falls short and why it matters before describing alternative options that deliver multi-functional IIoT capabilities and network resilience.

Why consider Lantronix G520 alternatives?

The Lantronix G520 is a cellular gateway that provides network connectivity, failover, and load balancing for IoT devices. However, it lacks serial console management capabilities, which means you need a separate device for remote management and OOBM. Out-of-band management is a crucial technology that separates the network control plane from the data plane to prevent breaches of management interfaces. OOBM also improves resilience by using a dedicated network (like cellular LTE) that gives remote teams a lifeline to recover from equipment failures, network outages, and breaches.

Percepxion G520

G520 gateways are managed with the Percepxion cloud platform, while cellular data plans and VPN security are managed separately with the cloud-based Connectivity Services software. These software solutions cannot be extended with third-party integrations, so teams must manage two separate Lantronix platforms and use separate software for monitoring, security, etc. Closed software also prevents teams from utilizing third-party automation and orchestration and creates a lot of management complexity, increasing the risk of human error and reducing operational efficiency.

G520 hardware also lacks extensibility due to an ARM architecture and tiny 256MB Flash storage. This essentially makes it a single-purpose device, with organizations needing to deploy additional appliances to run edge workloads, security applications, and other third-party software. There’s another IIoT gateway solution that combines edge networking capabilities with OOBM, the ability to run or integrate third-party applications, and a unified, extensible cloud management platform that extends automation and orchestration to all the devices in your deployment.

Nodegrid alternatives for the G520

Nodegrid is a line of vendor-neutral, edge networking solutions from ZPE Systems. The closest alternative to the Lantronix G520 is the Nodegrid Mini Services Router (or Mini SR)

Nodegrid Mini SR vs. Lantronix G520

 

Nodegrid Mini SR

Lantronix G520

CPU

x86-64bit Intel Processor

600 MHz ARM-based CPU 

Guest OS

1

0

Docker Apps

1-2

0

Storage

16GB SED

256MB Flash

Wi-Fi

Yes

Yes

Cloud Management

ZPE Cloud

Lantronix Percepxion, Connectivity Services

Cellular 

Dual-SIM

Dual-SIM

Serial

Via USB

No

Network

2 x 1Gb ETH

1 x 10/100 ETH

The Mini SR is a compact, fanless edge gateway small enough to be easily installed in any industrial environment. In addition to gateway, networking, and failover capabilities, the Mini SR provides OOBM for all connected devices, turning it into an IoT device management solution. Nodegrid’s OOBM completely isolates IoT management interfaces and ensures they’re remotely available 24/7 even during ISP outages and ransomware infections.

Mini-SR-Rear

The Mini SR and all connected devices are managed with ZPE Cloud, an intuitive platform that’s easily extensible with third-party integrations for infrastructure automation, edge security, SCADA software, and much more. The best part is that ZPE Cloud is a unified solution that gives administrators a single-pane-of-glass management experience for convenience and efficiency. 

Mini-SR-Diagram-980×748

The Mini SR and all other Nodegrid hardware solutions run on the vendor-neutral, Linux-based Nodegrid OS and come with robust Intel architectures. As a result, they can host Guest OS and even Docker containers for third-party applications, reducing the need for additional hardware appliances in cramped industrial environments. The Mini SR is an all-in-one solution that reduces edge expenses and complexity while improving resilience and operational efficiency.

Other Nodegrid alternatives for the Lantronix G520

Depending on your use case, you may have other reasons to consider G520 alternatives, such as the need for a complete serial console management solution, or the desire to run artificial intelligence (AI) workflows at the edge without deploying expensive single-purpose GPUs. Luckily, the Nodegrid line has solutions for every edge use case and pain point.

Comparing Nodegrid SRs

Nodegrid Mini SR Nodegrid Gate SR Nodegrid Hive SR Nodegrid Link SR Nodegrid Bold SR Nodegrid Net SR
Potential Use Cases Edge IoT, IIoT, OT, and IoMD (Internet of Medical Devices) deployments Branch service delivery and AI Distributed branch and edge sites like manufacturing plants Branch, IoT, and M2M (Machine-to-Machine) deployments Branch and edge deployments like telecom, retail, and oil & gas Large branches, edge data centers
CPU x86-64bit Intel Processor x86-64bit Intel Processor x86-64bit Intel Processor x86-64bit Intel Processor x86-64bit Intel Processor x86-64bit Intel Processor
Guest OS 1 1-3 1-2 1 1 1-6
Docker Apps 1-2 1-4 1-3 1-2 1-2 1-4
Storage 16GB SED 32GB – 128GB 16GB – 128GB 16GB – 128GB 32GB – 128GB 32GB – 128GB
Secondary Additional Storage Up to 4TB Up to 4TB Up to 4TB Up to 4TB Up to 4TB
PoE+ Output Yes Yes
Wi-Fi Yes Yes Yes Yes Yes Yes
ZPE Cloud Support Yes Yes Yes Yes Yes Yes
Cellular (Dual-SIM) 1 1-2 1-2 1 1-2 1-4
Serial Via USB 8 8 1 8 16-80
Network 2 x 1Gb ETH 2 x SFP+, 5 x Gb ETH, 4 x 1Gb ETH PoE+ 2x GbE ETH, 2x 10 Gbps, 4x 10/100/1000/2.5 Gbps RJ-45 1 x Gb ETH 1 x SFP 5 x Gb ETH 2 1Gb ETH, 2 SFP+, Multiple Cards
GPIO 2 DIO, 1 OUT, 1 Relay 2 DIO, 2 OUT
Power Single Single or Redundant Single Single Single Single or Redundant
Data Sheet Download Download Download Download Download Download

Get a complete IIoT solution with Nodegrid

The Nodegrid Mini SR improves upon the Lantronix G520 by consolidating edge networking capabilities and offering a vendor-neutral platform to host and integrate all your third-party applications. Schedule a demo to see Nodegrid in action!

Edge Computing Platforms: Insights from Gartner’s 2024 Market Guide

Interlocking cogwheels containing icons of various edge computing examples are displayed in front of racks of servers

Edge computing allows organizations to process data close to where it’s generated, such as in retail stores, industrial sites, and smart cities, with the goal of improving operational efficiency and reducing latency. However, edge computing requires a platform that can support the necessary software, management, and networking infrastructure. Let’s explore the 2024 Gartner Market Guide for Edge Computing, which highlights the drivers of edge computing and offers guidance for organizations considering edge strategies.

What is an Edge Computing Platform (ECP)?

Edge computing moves data processing close to where it’s generated. For bank branches, manufacturing plants, hospitals, and others, edge computing delivers benefits like reduced latency, faster response times, and lower bandwidth costs. An Edge Computing Platform (ECP) provides the foundation of infrastructure, management, and cloud integration that enable edge computing. The goal of having an ECP is to allow many edge locations to be efficiently operated and scaled with minimal, if any, human touch or physical infrastructure changes.

Before we describe ECPs in detail, it’s important to first understand why edge computing is becoming increasingly critical to IT and what challenges arise as a result.

What’s Driving Edge Computing, and What Are the Challenges?

Here are the five drivers of edge computing described in Gartner’s report, along with the challenges that arise from each:

1. Edge Diversity

Every industry has its unique edge computing requirements. For example, manufacturing often needs low-latency processing to ensure real-time control over production, while retail might focus on real-time data insights to deliver hyper-personalized customer experiences.

Challenge: Edge computing solutions are usually deployed to address an immediate need, without taking into account the potential for future changes. This makes it difficult to adapt to diverse and evolving use cases.

2. Ongoing Digital Transformation

Gartner predicts that by 2029, 30% of enterprises will rely on edge computing. Digital transformation is catalyzing its adoption, while use cases will continue to evolve based on emerging technologies and business strategies.

Challenge: This rapid transformation means environments will continue to become more complex as edge computing evolves. This complexity makes it difficult to integrate, manage, and secure the various solutions required for edge computing.

3. Data Growth

The amount of data generated at the edge is increasing exponentially due to digitalization. Initially, this data was often underutilized (referred to as the “dark edge”), but businesses are now shifting towards a more connected and intelligent edge, where data is processed and acted upon in real time.

Challenge: Enormous volumes of data make it difficult to efficiently manage data flows and support real-time processing without overwhelming the network or infrastructure.

4. Business-Led Requirements

Automation, predictive maintenance, and hyper-personalized experiences are key business drivers pushing the adoption of edge solutions across industries.

Challenge: Meeting business requirements poses challenges in terms of ensuring scalability, interoperability, and adaptability.

5. Technology Focus

Emerging technologies such as AI/ML are increasingly deployed at the edge for low-latency processing, which is particularly useful in manufacturing, defense, and other sectors that require real-time analytics and autonomous systems.

Challenge: AI and ML make it difficult for organizations to determine how to strike a balance between computing power and infrastructure costs, without sacrificing security.

What Features Do Edge Computing Platforms Need to Have?

To address these challenges, here’s a brief look at three core features that ECPs need to have according to Gartner’s Market Guide:

  1. Edge Software Infrastructure: Support for edge-native workloads and infrastructure, including containers and VMs. The platform must be secure by design.
  2. Edge Management and Orchestration: Centralized management for the full software stack, including orchestration for app onboarding, fleet deployments, data storage, and regular updates/rollbacks.
  3. Cloud Integration and Networking: Seamless connection between edge and cloud to ensure smooth data flow and scalability, with support for upstream and downstream networking.

A simple diagram showing the computing and networking capabilities that can be delivered via Edge Management and Orchestration.

Image: A simple diagram showing the computing and networking capabilities that can be delivered via Edge Management and Orchestration.

  1.  

How ZPE Systems’ Nodegrid Platform Addresses Edge Computing Challenges

ZPE Systems’ Nodegrid is a Secure Service Delivery Platform that meets these needs. Nodegrid covers all three feature categories outlined in Gartner’s report, allowing organizations to host and manage edge computing via one platform. Not only is Nodegrid the industry’s most secure management infrastructure, but it also features a vendor-neutral OS, hypervisor, and multi-core Intel CPU to support necessary containers, VMs, and workloads at the edge. Nodegrid follows isolated management best practices that enable end-to-end orchestration and safe updates/rollbacks of global device fleets. Nodegrid integrates with all major cloud providers, and also features a variety of uplink types, including 5G, Starlink, and fiber, to address use cases ranging from setting up out-of-band access, to architecting Passive Optical Networking.

Here’s how Nodegrid addresses the five edge computing challenges:

1. Edge Diversity: Adapting to Industry-Specific Needs

Nodegrid is built to handle diverse requirements, with a flexible architecture that supports containerized applications and virtual machines. This architecture enables organizations to tailor the platform to their edge computing needs, whether for handling automated workflows in a factory or data-driven customer experiences in retail.

2. Ongoing Digital Transformation: Supporting Continuous Growth

Nodegrid supports ongoing digital transformation by providing zero-touch orchestration and management, allowing for remote deployment and centralized control of edge devices. This enables teams to perform initial setup of all infrastructure and services required for their edge computing use cases. Nodegrid’s remote access and automation provide a secure platform for keeping infrastructure up-to-date and optimized without the need for on-site staff. This helps organizations move much of their focus away from operations (“keeping the lights on”), and instead gives them the agility to scale their edge infrastructure to meet their business goals.

3. Data Growth: Enabling Real-Time Data Processing

Nodegrid addresses the challenge of exponential data growth by providing local processing capabilities, enabling edge devices to analyze and act on data without relying on the cloud. This not only reduces latency but also enhances decision-making in time-sensitive environments. For instance, Nodegrid can handle the high volumes of data generated by sensors and machines in a manufacturing plant, providing instant feedback for closed-loop automation and improving operational efficiency.

4. Business-Led Requirements: Tailored Solutions for Industry Demands

Nodegrid’s hardware and software are designed to be adaptable, allowing businesses to scale across different industries and use cases. In manufacturing, Nodegrid supports automated workflows and predictive maintenance, ensuring equipment operates efficiently. In retail, it powers hyperpersonalization, enabling businesses to offer tailored customer experiences through edge-driven insights. The vendor-neutral Nodegrid OS integrates with existing and new infrastructure, and the Net SR is a modular appliance that allows for hot-swapping of serial, Ethernet, computing, storage, and other capabilities. Organizations using Nodegrid can adapt to evolving use cases without having to do any heavy lifting of their infrastructure.

5. Technology Focus: Supporting Advanced AI/ML Applications

Emerging technologies such as AI/ML require robust edge platforms that can handle complex workloads with low-latency processing. Nodegrid excels in environments where real-time analytics and autonomous systems are crucial, offering high-performance infrastructure designed to support these advanced use cases. Whether processing data for AI-driven decision-making in defense or enabling real-time analytics in industrial environments, Nodegrid provides the computing power and scalability needed for AI/ML models to operate efficiently at the edge.

Read Gartner’s Market Guide for Edge Computing Platforms

As businesses continue to deploy edge computing solutions to manage increasing data, reduce latency, and drive innovation, selecting the right platform becomes critical. The 2024 Gartner Market Guide for Edge Computing Platforms provides valuable insights into the trends and challenges of edge deployments, emphasizing the need for scalability, zero-touch management, and support for evolving workloads.

Click below to download the report.

Get a Demo of Nodegrid’s Secure Service Delivery

Our engineers are ready to walk you through the software infrastructure, edge management and orchestration, and cloud integration capabilities of Nodegrid. Use the form to set up a call and get a hands-on demo of this Secure Service Delivery Platform.

Network Virtualization Platforms: Benefits & Best Practices

Network Virtualization Platforms: Benefits & Best Practices

Simulated network virtualization platforms overlaying physical network infrastructure.

Network virtualization decouples network functions, services, and workflows from the underlying hardware infrastructure and delivers them as software. In the same way that server virtualization makes data centers more scalable and cost-effective, network virtualization helps companies streamline network deployment and management while reducing hardware expenses.

This guide describes several types of network virtualization platforms before discussing the benefits of virtualization and the best practices for improving efficiency, scalability, and ROI.

What do network virtualization platforms do?

There are three forms of network virtualization that are achieved with different types of platforms. These include:

Type of Virtualization Description Examples of Platforms
Virtual Local Area Networking (VLAN) Creates an abstraction layer over physical local networking infrastructure so the company can segment the network into multiple virtual networks without installing additional hardware.

SolarWinds Network Configuration Manager

ManageEngine Network Configuration Manager

Software-Defined Networking (SDN) Decouples network routing and control functions from the actual data packets so that IT teams can deploy and orchestrate workflows across multiple devices and VLANs from one centralized platform.

Meraki

Juniper

Network Functions Virtualization (NFV) Separates network functions like routing, switching, and load balancing from the underlying hardware so teams can deploy them as virtual machines (VMs) and use fewer physical devices.

Red Hat OpenStack

VMware vCloud NFV

While network virtualization is primarily concerned with software, it still requires a physical network infrastructure to serve as the foundation for the abstraction layer (just like server virtualization still requires hardware in the data center or cloud to run hypervisor software). Additionally, the virtualization software itself needs storage or compute resources to run, either on a server/hypervisor or built-in to a networking device like a router or switch. Sometimes, this hardware is also referred to as a network virtualization platform.

The benefits of network virtualization

Virtualizing network services and workflows with VLANs, SDN, and NFVs can help companies:

  • Improve operational efficiency with automation. Network virtualization enables the use of scripts, playbooks, and software to automate workflows and configurations. Network automation boosts productivity so teams can get more work done with fewer resources.
  • Accelerate network deployments and scaling. Legacy deployments involve configuring and installing dedicated boxes for each function. Virtualized network functions and configurations can be deployed in minutes and infinitely copied to get new sites up and running in a fraction of the time.
  • Reduce network infrastructure costs. Decoupling network functions, services, and workflows from the underlying hardware means you can run multiple functions from once device, saving money and space.
  • Strengthen network security. Virtualization makes it easier to micro-segment the network and implement precise, targeted Zero-Trust security controls to protect sensitive and valuable assets.

Network virtualization platform best practices

Following these best practices when selecting and implementing network virtualization platforms can help companies achieve the benefits described above while reducing hassle.

Vendor neutrality

Ensuring that the virtualization software works with the underlying hardware is critical. The struggle is that many organizations use devices from multiple vendors, which makes interoperability a challenge. Rather than using different virtualization platforms for each vendor, or replacing perfectly good devices with ones that are all from the same vendor, it’s much easier and more cost-effective to use virtualization software that interoperates with any networking hardware. This type of software is called ‘vendor neutral.’

To improve efficiency even more, companies can use vendor-neutral networking hardware to host their virtualization software. Doing so eliminates the need for a dedicated server, allowing SDN software and virtualized network functions (VNFs) to run directly from a serial console or router that’s already in use. This significantly consolidates deployments, which saves  money and reduces the amount of space needed This can be a lifesaver in branch offices, retail stores, manufacturing sites, and other locations with limited space.

A diagram showing how multiple VNFs can run on a single vendor-neutral platform.

Virtualizing the WAN

We’ve mostly discussed virtualization in a local networking context, but it can also be extended to the WAN (wide area network). For example, SD-WAN (software-defined wide area networking) streamlines and automates the management of WAN infrastructure and workflows. WAN gateway routing functions can also be virtualized as VNFs that are deployed and controlled independently of the physical WAN gateway, significantly accelerating new branch launches.

Unifying network orchestration

The best way to maximize network management efficiency is to consolidate the orchestration of all virtualization with a single, vendor-neutral platform. For example, the Nodegrid solution from ZPE Systems uses vendor-neutral hardware and software to give networking teams a single platform to host, deploy, monitor, and control all virtualized workflows and devices. Nodegrid streamlines network virtualization with:

  • An open, x86-64bit Linux-based architecture that can run other vendors’ software, VNFs, and even Docker containers to eliminate the need for dedicated virtualization appliances.
  • Multi-functional hardware devices that combine gateway routing, switching, out-of-band serial console management, and more to further consolidate network deployments.
  • Vendor-neutral orchestration software, available in on-premises or cloud form, that provides unified control over both physical and virtual infrastructure across all deployment sites for a convenient management experience.

Want to see vendor-neutral network orchestration in action?

Nodegrid unifies network virtualization platforms and workflows to boost productivity while reducing infrastructure costs. Schedule a free demo to experience the benefits of vendor-neutral network orchestration firsthand.

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