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

Edge Computing Architecture Guide

Edge-computing-architecture-concept-icons-arranged-around-the-word-edge-computing
Edge computing is rapidly gaining popularity as more  organizations see the benefits of decentralizing data processing for Internet of Things (IoT) deployments, machine learning applications, operational technology (OT), AI and machine learning, and other edge use cases. This guide defines edge computing and edge-native applications, highlights a few key use cases, describes the typical components of an edge deployment, and provides additional resources for building your own edge computing architecture.

Table of Contents

What is edge computing?

The Open Glossary of Edge Computing defines it as deploying computing capabilities to the edges of a network to improve performance, reduce operating costs, and increase resilience. Edge computing reduces the number of network hops between data-generating devices and the applications that process and use that data, mitigating latency, bandwidth, and security concerns compared to cloud or on-premises computing.

A diagram showing the migration path from on-premises computing to edge computing, along with the associated level of security risk.

Image: A diagram showing the migration path from on-premises computing to edge computing, along with the associated level of security risk.

Edge-native applications

Edge-native applications are built from the ground up to harness edge computing’s unique capabilities while mitigating the limitations. They leverage some cloud-native principles, such as containers, microservices, and CI/CD (continuous integration/continuous delivery), with several key differences.

Edge-Native vs. Cloud-Native Applications

Edge-Native Cloud-Native
Topology Distributed Centralized
Compute Real-time processing with limited resources Deep processing with scalable resources
Data Constantly changing and moving Long-lived and at rest in a centralized location
Capabilities Contextualized Standardized
Location Anywhere Cloud data center

Source: Gartner

Edge-native applications integrate seamlessly with the cloud, upstream resources, remote management, and centralized orchestration, but can also operate independently as needed. Crucially, they allow organizations to actually leverage their edge data in real-time, rather than just collecting it for later processing.

Edge computing use cases

Nearly every industry has potential use cases for edge computing, including:

Industry Edge Computing Use Cases
Healthcare
  • Mitigating security, privacy, and HIPAA compliance concerns with local data processing
  • Improving patient health outcomes with real-time alerts that don’t require Internet access
  • Enabling emergency mobile medical intervention while reducing mistakes
Finance
  • Reducing security and regulatory risks through local computing and edge infrastructure isolation
  • Getting fast, localized business insights to improve revenue and customer service
  • Deploying AI-powered surveillance and security solutions without network bottlenecks
Energy
  • Enabling network access and real-time data processing for airgapped and isolated environments
  • Improving efficiency with predictive maintenance recommendations and other insights
  • Proactively identifying and remediating safety, quality, and compliance issues
Manufacturing
  • Getting real-time, data-driven insights to improve manufacturing efficiency and product quality
  • Reducing the risk of confidential production data falling into the wrong hands in transit
  • Ensuring continuous operations during network outages and other adverse events
  • Using AI with computer vision to ensure worker safety and quality control of fabricated components/products
Utilities/Public Services
  • Using IoT technology to deliver better services, improve public safety, and keep communities connected
  • Reducing the fleet management challenges involved in difficult deployment environments
  • Aiding in disaster recovery and resilience with distributed redundant edge resources

To learn more about the specific benefits and uses of edge computing for each industry, read Distributed Edge Computing Use Cases.

Edge computing architecture design

An edge computing architecture consists of six major components:

Edge Computing Components Description Best Practices
Devices generating edge data IoT devices, sensors, controllers, smartphones, and other devices that generate data at the edge Use automated patch management to keep devices up-to-date and protect against known vulnerabilities
Edge software applications Analytics, machine learning, and other software deployed at the edge to use edge data Look for edge-native applications that easily integrate with other tools to prevent edge sprawl
Edge computing infrastructure CPUs, GPUs, memory, and storage used to process data and run edge applications Use vendor-neutral, multi-purpose hardware to reduce overhead and management complexity
Edge network infrastructure and logic Wired and wireless connectivity, routing, switching, and other network functions Deploy virtualized network functions and edge computing on common, vendor-neutral hardware
Edge security perimeter Firewalls, endpoint security, web filtering, and other enterprise security functionality Implement edge-centric security solutions like SASE and SSE to prevent network bottlenecks while protecting edge data
Centralized management and orchestration An EMO (edge management and orchestration) platform used to oversee and conduct all edge operations Use a cloud-based, Gen 3 out-of-band (OOB) management platform to ensure edge resilience and enable end-to-end automation

Click here to learn more about the infrastructure, networking, management, and security components of an edge computing architecture.

How to build an edge computing architecture with Nodegrid

Nodegrid is a Gen 3 out-of-band management platform that streamlines edge computing with vendor-neutral solutions and a centralized, cloud-based orchestrator.

A diagram showing all the edge computing and networking capabilities provided by the Nodegrid Gate SR

Image: A diagram showing all the edge computing and networking capabilities provided by the Nodegrid Gate SR.

Nodegrid integrated services routers deliver all-in-one edge computing and networking functionality while taking up 1RU or less. A Nodegrid box like the Gate SR provides Ethernet and Serial switching, serial console/jumpbox management, WAN routing, wireless networking, and 5G/4G cellular for network failover or out-of-band management. It includes enough CPU, memory, and encrypted SSD storage to run edge computing workflows, and the x86-64bit Linux-based Nodegrid OS supports virtualized network functions, VMs, and containers for edge-native applications, even those from other vendors. The new Gate SR also comes with an embedded NVIDIA Jetson Orin NanoTM module featuring dual CPUs for EMO of AI workloads and infrastructure isolation.

Nodegrid SRs can also host SASE, SSE, and other security solutions, as well as third-party automation from top vendors like Redhat and Salt. Remote teams use the centralized, vendor-neutral ZPE Cloud platform (an on-premises version is available) to deploy, monitor, and orchestrate the entire edge architecture. Management, automation, and orchestration workflows occur over the Gen 3 OOB control plane, which is separated and isolated from the production network. Nodegrid OOB uses fast, reliable network interfaces like 5G cellular to enable end-to-end automation and ensure 24/7 remote access even during major outages, significantly improving edge resilience.

Streamline your edge deployment

The Nodegrid platform from ZPE Systems reduces the cost and complexity of building an edge computing architecture with vendor-neutral, all-in-one devices and centralized EMO. Request a free Nodegrid demo to learn more.

Click here to learn more!

DORA Act: 5 Takeaways For The Financial Sector

Thumbnail – DORA Act 5 Takeaways for the Financial Sector

The Digital Operational Resilience Act (DORA) is a regulatory initiative within the European Union that aims to enhance the operational resilience of the financial sector. Its main goal is to prevent and mitigate cyber threats and operational disruptions. The DORA Act outlines regulatory requirements for the security of network and information systems “whereby all firms need to make sure they can withstand, respond to and recover from all types of ICT-related disruptions and threats” (DORA Act website).

Who and What Are Covered Under the DORA Act?

The DORA Act is a regulation that covers all financial entities within the European Union (EU). It recognizes the critical role of information and communication technology (ICT) systems in financial services. DORA applies to financial services including payments, securities, credit rating, algorithmic trading, lending, insurance, and back-office operations. It establishes a framework for ICT risk management through technical standards, which are being released in two phases, the first of which was published on January 17, 2024. The DORA Act will go into effect in its entirety on January 17, 2025.

With cyberattacks constantly in the news cycle, it’s no surprise that governing bodies are putting forth standards for operational resilience. But without combing through this lengthy piece of legislation, what should IT teams start thinking about from a practical standpoint? Here are 5 takeaways on what the DORA Act means for the financial sector.

DORA Act: 5 Takeaways for the Financial Sector

1. Shore-up your cybersecurity measures

The DORA Act emphasizes strengthening cybersecurity measures within the financial sector. It requires financial institutions, such as banks, stock exchanges, and financial infrastructure providers, to implement robust cybersecurity controls and protocols. These include adopting advanced authentication mechanisms, encryption standards, and network segmentation to protect sensitive financial data and critical infrastructure from cyber threats. Part of this will also require organizations to apply system patches and updates in a timely manner, which means automated patching will become necessary to every organization’s security posture.

2. Implement resilience systems

Operational resilience is a key focus area of the DORA Act, aiming to ensure the continuity of essential financial services in the face of cyber threats, natural disasters, and other operational disruptions. Financial institutions are required to develop comprehensive business continuity plans, establish redundant systems and backup facilities, and conduct regular stress tests to assess their ability to withstand and recover from various scenarios. Implementing a resilience system helps with this, as it provides all the infrastructure, tools, and services necessary to continue operating during major incidents.

3. Conduct regular scans for vulnerabilities

The DORA Act mandates financial institutions to implement robust risk management practices to identify, assess, and mitigate cyber risks and operational vulnerabilities. This includes conducting regular assessments, vulnerability scans, and penetration tests, and developing incident response procedures to quickly address threats. This is all part of taking a proactive approach to identify and mitigate cyber incidents, and reduce the impact that adverse events have on financial stability and consumer confidence.

4. Collaborate and share information with industry peers

The DORA Act encourages financial institutions to share cybersecurity threat intelligence, incident data, and best practices with industry peers, regulators, and law enforcement agencies. The ability to monitor systems and collect data will be crucial to this approach, and will require systems that can rapidly (and securely) deploy apps/services during ongoing incidents. This will help financial institutions to better understand emerging threats, coordinate responses to cyber incidents, and strengthen collective defenses against threats and operational disruptions.

5. Segment physical and logical systems to pass regular audits

Through the DORA Act, regulators are empowered to conduct regular assessments, audits, and inspections of systems. This will ensure that financial institutions are implementing adequate controls and safeguards to protect against cyber threats and operational disruptions. A crucial part to this will involve physical and logical separation of systems, such as through Isolated Management Infrastructure, as well as implementing zero trust architecture across the organization. These will help bolster resilience by eliminating control dependencies between management and production networks, which will also help to streamline audits.

Get the blueprint to help you comply with the DORA Act

DORA’s requirements are meant to help IT teams better protect sensitive data and the integrity of financial systems as a whole. But without a proper network management infrastructure, their production networks are too sensitive to errors and vulnerable to attacks. ZPE has created the blueprint that covers these 5 crucial takeaways outlined in the DORA Act. The architecture outlined in this blueprint has been trusted by Big Tech for more than a decade, as it allows them to deploy modern cybersecurity measures, physically and logically separated systems, and rapid recovery processes. Download the blueprint now.

Zero Trust Edge Solutions: Continuing the Zero Trust Journey

A glowing shield with a 0 on it overlays a glowing map of the world to represent zero trust at the edge.

The zero trust security methodology follows the principle of “never trust, always verify,” which assumes that any account or device could be compromised and should be forced to continuously establish trustworthiness. This sounds like an extreme approach, but with the frequency of high-profile data breaches and ransomware attacks steadily increasing, security teams must pivot their approach away from prevention and toward damage mitigation and recovery. Zero trust security limits the lateral movement of compromised accounts on the network by establishing micro-perimeters around network resources that continually assess an account’s behavior for suspicious activity.

Organizations also must extend zero trust security policies and controls to remote business sites at their network’s edges, such as branches, Internet of Things (IoT) deployments, and home offices. Zero trust edge solutions are software platforms that provide networking, access, and security capabilities designed specifically for the edge. This guide explains what zero trust edge solutions do and the challenges involved in using them before discussing how to build a unified ZTE platform.

What are zero trust edge solutions?

A zero trust edge solution combines edge-centric security functionality with remote access and networking capabilities. ZTE’s core feature is zero trust network access (ZTNA), which securely connects remote users to enterprise applications and resources, similar to a VPN. ZTNA is more secure than VPNs because it only allows users to authenticate to one resource at a time and prevents them from seeing or accessing anything else until they re-establish their identity and credentials. ZTE’s other features and capabilities vary depending on the vendor and deployment type. ZTE solutions come in three different forms:

  • As a service: Companies can purchase ZTE functionality as a cloud-based, vendor-managed service. Remote users connect to regional points of presence (POPs) to reach the ZTE stack in the cloud before being routed to enterprise resources. This deployment style is easier to deploy for organizations with lots of users in the field but few (if any) physical edge locations to host security or networking solutions.
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  • With SD-WAN: Some ZTE providers combine zero-trust features with software-defined wide area networking (SD-WAN) capabilities. SD-WAN creates a virtual network overlay that’s decoupled from the underlying WAN infrastructure, enabling centralized control and automation. Packaging ZTE and SD-WAN together helps organizations consolidate their tech stack at physical edge sites like branches, warehouses, and manufacturing plants while still offering ZTNA to work-from-home and field employees.
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  • Build your own: Since there are very few mature ZTE providers on the market, and it can be difficult to find pre-made solutions with all the features needed for complex, distributed edge networks, many teams opt to build their own platform by combining tools from multiple vendors. Typically, these organizations have physical branches with existing WAN infrastructure that they use as regional POPs to host ZTNA and other security solutions.

Why build your own ZTE solution?

If pre-made solutions exist, why would companies go through the hassle of creating their own zero trust edge platform? Presently, there aren’t any “complete” ZTE solutions that offer full, zero-trust protection for branches and other physical edge sites.

For example, many ZTE platforms don’t protect management ports on the control plane, leaving critical edge infrastructure like servers, switches, and power distribution units (PDUs) exposed to cybercriminals. Additionally, branch ZTE solutions rely upon production network infrastructure, so if there’s an outage or ransomware attack, remote management teams are completely cut off from troubleshooting and recovery. These solutions also lack helpful edge networking features like fleet management and automation, and their closed ecosystems limit the ability to extend their capabilities.

Building your own zero trust edge platform allows you to combine all the security, networking, and management functionality you need to get full security coverage and streamline branch operations. The key to creating a robust and efficient ZTE solution is starting with a vendor-neutral platform that can unify the entire security architecture.

How Nodegrid simplifies ZTE

Nodegrid edge networking solutions from ZPE Systems provide the perfect vendor-neutral platform for integrated zero trust edge deployments. All-in-one edge gateway routers deliver a full stack of branch networking capabilities, including out-of-band (OOB) management. OOB creates a dedicated control plane on an isolated network so remote teams have continuous access to manage, troubleshoot, and repair edge infrastructure.

Nodegrid protects the management interfaces on the OOB network with robust, zero trust security processes and controls. For example, the encryption keys for each Nodegrid device are destroyed after provisioning so that only the public key is accessible when needed for authentication to our cloud. Nodegrid devices also use the Trusted Platform Module (TPM) as a hardware security module to prevent cybercriminals from tampering with the configuration or storage.

Our platform runs on the Linux-based, x86 Nodegrid OS, which supports VMs and Docker containers for third-party applications. That means you can deploy ZTNA, SD-WAN, and other zero trust edge solutions without purchasing or managing additional hardware at each branch. Nodegrid’s OOB and failover functionality ensure those security and access solutions remain operational during ISP outages, ransomware attacks, and other disruptions. Teams can also run their favorite tools for automation, troubleshooting, and recovery on the Nodegrid platform, streamlining edge operations and ensuring their toolbox is available on the OOB network. Nodegrid also simplifies fleet management with true zero-touch provisioning to securely and automatically deploy configurations at edge business sites.

Want to unify your zero trust edge solutions with Nodegrid?

Nodegrid provides a robust, vendor-neutral platform to unify and extend your zero trust edge capabilities. Request a free demo to see Nodegrid in action. Watch Demo

What to do if You’re Ransomware’d: A Healthcare Example

What to do if youre ransomwared

This article was written by James Cabe, CISSP, a 30-year cybersecurity expert who’s helped major companies including Microsoft and Fortinet.

Ransomware gangs target the innocent and vulnerable. They hit a Chicago hospital in December 2023, a London hospital in October the same year, and schools and hospitals in New Jersey as recently as January 2024. This is one of the biggest reasons I’m committed to stopping these criminals by educating organizations on how to re-think and re-architect their approach to cybersecurity.

In previous articles, I discussed IMI (Isolated Management Infrastructure) and IRE (Isolated Recovery Environments), and how they could have quickly altered outcomes for MGM, Ragnar Locker victims, and organizations affected by the MOVEit vulnerability. Using IMI and IRE, organizations find that the key to not only speedy recovery, but also to limiting the blast radius and attack persistence, is isolation.

Why is isolation (not segmentation) key to ransomware recovery?

The NIST framework for incident response has five steps: Identify, Protect, Detect, Respond, and Recover. It’s missing a crucial step, however: Isolate. Stay tuned for a full breakdown of this in my next article. But the reason this is so critical is because attacks move at machine speed, and are very pervasive and persistent. If your management network is not fully isolated from production assets, the infection spreads to everything. Suddenly, you’re locked out completely and looking at months of tedious recovery. For healthcare providers, this jeopardizes everything from patient care to regulatory compliance.

Isolation is integral to building a resilience system, or in other words, a system that gives you more than basic serial console/out-of-band access and instead provides an entire infrastructure dedicated to keeping you in control of your systems — be it during a ransomware attack, ISP outage, natural disaster, etc. Because this infrastructure is physically and virtually isolated from production (no dependencies on production switches/routers, no open management ports, etc.), it’s nearly impossible for attackers to lock you out.

So, what really should you do if you’re ransomware’d? Let’s walk through an example attack on a healthcare system, and compare the traditional DR (Disaster Recovery) response to the IMI/IRE approach.

Ransomware in Healthcare: Disaster Recovery vs Isolated Recovery

Suppose you’re in charge of a hospital’s network. MDIoT, patient databases, and DICOM storage are the crown jewels of your infrastructure. Suddenly, you discover ransomware has encrypted patient records and is likely spreading quickly to other crown jewel assets. The risks and potential fallout can’t be understated. Millions of people are depending on you to protect their sensitive info, while the hospital is depending on you to help them avoid regulatory/legal penalties and ensure they can continue operating.

The problem with Disaster Recovery

Though the word ‘recovery’ is in the name, the DR approach is limited in its capacity to recover systems during an attack. Disaster Recovery typically employs a couple things:

  • Backups, which are copies of data, configurations, and code that are used to restore a production system when it fails.
  • Redundancy, which involves duplicating critical systems, services, and applications as a failsafe in the event that primaries go down (think cellular failover devices, secondary firewalls, etc.).

What happens when you activate your DR processes? It’s highly likely that you won’t be able to, and that’s because the typical DR setup relies on the production network. There’s no isolation.

Think about it this way: your backup servers need direct access to the data they’re backing up. If your file servers get pwned, your backup servers will, too. If your primary firewall gets hacked, your secondary will, too. The problem with backup and redundancy systems — and any system, for that matter — is that when they depend on the underlying infrastructure to remain operational, they’re just as susceptible to outages and attacks. It’s like having a reserve parachute that depends on the main parachute.

And what about the rest of your systems? You just discovered the attack has encrypted your servers and is quickly bringing operations to a crawl. How are you going to get in and fight back? What if you try to log into your management network, only to find that you’re locked out? All of your tools, configurations, and capabilities have been compromised.

This is why CISA, the FBI, US Navy, and other agencies recommend implementing Isolated Management Infrastructure.

IMI and IRE guarantee you can fight back against ransomware

You discover that the ransomware has spread. Not only has it encrypted data and stopped operations, but it has also locked you out of your own management network and is affecting the software configurations throughout the hospital. This is where IMI (Isolated Management Infrastructure) and IRE (Isolated Recovery Environment) come in.

Because IMI is physically separate from affected systems, it guarantees management access so teams can set up communication and a temporary ‘war room’ for incident response. The IRE can then be created using a combination of cellular, compute, connectivity, and power control (see diagram for design and steps). Docker containers should be used to bring up each step.

Diagram showing a chart containing the systems and open-source tools that can be deployed for an Isolated Recovery Environment

Image: The infrastructure and incident response protocol involved in the Isolated Recovery Environment. These products were chosen from free or open source projects that have proven to be very useful in each of these stages of recovery. These can be automated in pieces for each phase, and then be brought down via Docker container to eliminate the risk of leakage or risk during each phase.

Without diving too far into the technicalities, the IRE enables you to recover survivable data, restore software configurations, and prevent reinfection. Here are some things you can do (and should do) in this scenario, courtesy of the IRE:

Establish your war room

You can’t fight ransomware if you can’t securely communicate with your team. Use the IRE to create offline, break-the-glass accounts that are not attached to email. This allows you to communicate and set up ticketing for forensics purposes.

Isolate affected systems

There’s no use running antivirus if reinfection can occur. Use the IRE to take offline the switch that connects the backup and file servers. Isolate these servers from each other and shut down direct backup ports. Then, you can remote-in (KVM, iKVM, iDRAC) to run antivirus and EDR (Endpoint Detection and Response).

Restore data and device images

The key is to have backup data at its most current, both for patient data and device/software configurations. Because the IRE provides an isolated environment, and you’ve already pulled your backups offline, you can gradually restore data, re-image devices, and restore configurations without risking reinfection. The IRE ensures devices “keep away” from each other until they can be cleansed and recovered.

Things You’ll Need To Build The IMI and IRE

Network Automation Blueprint

We’ve created a comprehensive blueprint that shows how to implement the architecture for IMI and IRE. Don’t let the name fool you. The Network Automation Blueprint covers everything from establishing a dedicated management network, to automating deployment of services for ransomware recovery. Get your PDF copy now at the link below.

Gen 3 Console Servers To Replace End-of-Life Gear

It’s nearly impossible to build the IMI or deploy the IRE using older console servers. That’s because these only give you basic remote access and a hint of automation capabilities. You’ll still need the ability to run VMs and containers. Gen 3 console servers let you do all of the things for IMI and IRE, like full control plane/data plane separation, hosting apps, and deploying VMs/containers on-demand. They’ve also been validated by Synopsys and have built-in security features I’ve been talking about for years. Check out the link below for resources about Gen 3 and how we’ll help you upgrade.

Get in touch with me!

I’d love to talk with you about IMI, IRE, and resilience systems. These are becoming more crucial to operational resilience and ransomware recovery, and countries are passing new regulations that will require these approaches. Get in touch with me via social media to talk about this!

IT Automation vs Orchestration: What’s the Difference?

it-automation-vs-orchestration

IT automation and orchestration are two important concepts in the field of information technology that are often used interchangeably but are actually quite different. IT automation focuses on individual tasks, whereas orchestration encompasses multiple tasks or even entire workflows. Each approach produces different results and helps teams meet different goals. They also have their own benefits and challenges that must be considered. This guide compares IT automation vs orchestration to clear up misconceptions and help organizations choose the right approach to streamlining their IT operations.

IT Automation vs Orchestration: What’s the Difference?

IT Automation vs Orchestration

IT automation refers to the use of technology to automate repetitive tasks and processes, including things like automated backups, software updates, and monitoring systems. The goal of IT automation is to free up time and resources for IT professionals by automating routine tasks, allowing them to focus on more strategic initiatives.

Orchestration, on the other hand, is the coordination and management of multiple processes or entire workflows. This can include things like configuring and deploying new servers, managing network connections, and monitoring the performance of many different systems. The goal of orchestration is to improve the overall efficiency of IT operations, reducing costs and enabling greater scalability.

The benefits of IT automation vs orchestration

Benefits of IT Automation vs Orchestration

IT Automation

  • Saves time
  • Reduces human error
  • Improves compliance

Orchestration

  • Increases operational efficiency
  • Improves network scalability
  • Ensures IT system reliability

One of the main benefits of IT automation is that it can save time and resources for IT professionals. By automating routine tasks, IT teams can focus on more strategic initiatives and projects. Additionally, automation helps reduce human error and increases the accuracy, speed, and efficiency of tasks. Automation also improves compliance, as automated processes are less prone to human negligence and are easier to audit.

Orchestration, on the other hand, helps improve the overall efficiency and effectiveness of IT operations. By automating the coordination and management of multiple tasks, orchestration helps ensure that different systems and processes work together seamlessly. Additionally, orchestration helps improve the scalability and reliability of IT systems by ensuring different components are configured and deployed correctly.

The challenges of IT automation and orchestration

IT Automation and Orchestration Challenges

IT Complexity

Teams can’t effectively automate IT operations unless they thoroughly understand all the tasks, systems, and workflows comprising a highly complex network.

Automation Skills Gap

A high demand for automation engineers makes it difficult and expensive to recruit, train, and retain qualified IT automation and orchestration professionals.

Supporting Infrastructure

Effective automation and orchestration deployments require a robust underlying infrastructure of specialized hardware and software solutions.

One of the main challenges of automation and orchestration is the complexity of IT systems. As organizations rely more heavily on specialized technology and grow both in size and in number of business sites, IT systems become increasingly complex and difficult to manage. Automation and orchestration help reduce complexity by automating routine tasks and coordinating the management of different systems. However, teams must understand those tasks and systems well enough to know how to automate them effectively; otherwise, mistakes will proliferate or there will be gaps in automated workflows.

Another IT automation and orchestration challenge is the need for skilled professionals to deploy and manage these solutions. As automation and orchestration become more prevalent, the demand for skilled professionals has increased, making it harder (and more expensive) to recruit and retain qualified automation engineers. The alternative is for organizations to spend time and resources training existing IT staff to work with automation and orchestration.

Additionally, organizations need to invest in the technology and infrastructure necessary to support automation and orchestration. Some examples of these automation infrastructure components include:

  • Gen 3 out-of-band (OOB) serial consoles, which allow teams to deploy third-party automation on an OOB network that doesn’t rely on production infrastructure, improving security and resilience. Gen 3 OOB also moves bandwidth-hogging orchestration workflows off the production network, which reduces latency for better performance.
  • Software-defined networking, which virtualizes the control and management processes and abstracts them from underlying LAN and WAN hardware. SDN, SD-WAN, and SD-Branch technologies enable a high degree of automation for networking workflows such as load balancing, application-aware routing, and failover.
  • Infrastructure as Code (IaC), which turns infrastructure configurations into software code. IaC enables the use of version control, zero-touch deployments, automatic configuration management, automated security testing, and other tools and processes that support automation and improve network resilience.
  • Orchestrator software, which controls all of the automated workflows on a network. The orchestrator is the central hub for teams to create, deploy, monitor, and troubleshoot automated workflows and infrastructure.
  • AIOps, or artificial intelligence for IT operations, which analyzes all the logs and data pulled from automated infrastructure devices and security appliances. AIOps provides predictive maintenance insights, automatic root-cause analysis (RCA), enhanced threat detection, and other functionality to help support a complex, automated network infrastructure.

Tips for overcoming IT automation and orchestration challenges

While every organization will face unique IT automation and orchestration hurdles, there are two basic tips to help simplify any deployment. Using consolidated network hardware and vendor-neutral platforms can help reduce the complexity of network infrastructure, the need to hire additional staff, and the cost to deploy automation infrastructure.

  • Consolidated network hardware, such as all-in-one branch/edge gateway routers, significantly reduces the number of devices deployed at each business site. Fewer devices to automate means less complexity, and organizations save money on deployment costs like hardware overhead and automation license seats.
  • Vendor-neutral platforms, such as the Nodegrid infrastructure management platform from ZPE Systems, allow teams to use the automation and orchestration tools they’re most comfortable with regardless of provider, reducing the skills gap. Open platforms ensure seamless interoperability between all the various automated components to decrease management complexity. Vendor-neutral hardware also allows organizations to run software from multiple vendors on a single device, enabling even greater network consolidation to reduce the complexity and cost of automated infrastructure deployments.

Choosing IT automation vs orchestration

IT automation and orchestration are interconnected concepts that are frequently, but incorrectly, used interchangeably. Automation focuses on individual tasks, while orchestration manages multiple tasks and entire workflows. Both automation and orchestration can help improve the efficiency and effectiveness of IT operations, but they have their unique benefits and challenges. Organizations must carefully consider their IT systems and needs when deciding which approach to use.

IT automation vs orchestration simplified

The network automation experts at ZPE Systems have helped Big Tech brands like Amazon and Uber improve operational efficiency and resilience with IT automation and orchestration. Learn how to use these best practices to streamline your IT operations by downloading our Network Automation Blueprint.

Download the Blueprint

Network Resilience: What is a Resilience System?

A digital web of interconnected network resilience concepts being selected by a business person in a suit.

Network resilience means being able to withstand or recover from adversity, service degradation, and complete outages with minimal business disruption. The longer business-critical services are down, or systems are breached, the greater the risk of significant financial, reputational, and legal consequences. A resilience system is a set of technologies that enable an organization to continue operating while teams work to repair failures and recover from cyberattacks. But what exactly is a resilience system, and what does it look like? This guide to network resilience defines resilience systems, provides example use cases, compares them to related technologies like backups and redundant systems, and describes the key components required to build them.

What is a resilience system?

A resilience system provides all the infrastructure, tools, and services necessary to continue operating, if in a degraded state, during major incidents. It also includes everything needed to recover data, rebuild systems, perform security testing, and continue delivering core business functionality. A resilience system is typically isolated from the production network, preventing cybercriminals from finding and compromising it and ensuring teams have continuous access even if the primary network goes down.

Resilience system use cases

Some examples of the challenges that resilience systems help overcome include:

1. Ransomware recovery

In a ransomware attack, cybercriminals infect systems with malware that spreads throughout the network and encrypts any data it encounters. Modern ransomware now uses packaged attacks that move at machine speed, instantly incapacitating entire networks. Organizations completely lose access to critical systems and data until they pay a ransom, often in untraceable cryptocurrency. Ransomware is an exceptionally tenacious form of malware and tends to reinfect backup data and rebuilt systems, significantly hampering recovery efforts and increasing the duration and cost of the attack. The best practice for resilience systems is to isolate them on an out-of-band (OOB) network, inaccessible to hackers who have breached the production in-band network. Doing so creates a safe, isolated recovery environment (IRE) where teams can restore critical data and systems without the risk of reinfection. The resilience system includes all the tools and hardware needed to restore critical business services and infrastructure. An IRE significantly accelerates ransomware recovery and minimizes downtime, so businesses can avoid paying ransoms and reduce the overall cost of attacks.

2. Network outages

Enterprise network architectures and supply chains are highly complex, with lots of moving parts that rely on external vendors to maintain availability. Just one of those vendors dropping the ball could take the entire organization offline, severely impacting network resilience. For example, in 2023, an expired cryptographic certificate caused Cisco’s Viptela SD-WAN appliances to fail on reboot, completely taking down affected networks until the issue was resolved. With a resilience system, Viptela customers could have potentially avoided this downtime by failing over to alternative network resources. For example, a resilience system with integrated cellular failover allows branches to continue connecting to and delivering critical business services while also providing a lifeline for remote teams to access and recover failed systems. A resilience system also provides observability and automatic notifications so teams are instantly alerted to issues like certificate expirations and can respond quickly to recover critical services.

3. Shift to remote work

Incidents like ransomware attacks and equipment failures happen frequently enough that companies can create detailed plans and proactively implement solutions to minimize their impact, but not all adverse events are so predictable. When the COVID-19 pandemic struck, the massive shift to remote work strained the network resources of most organizations. Instead of maintaining a limited number of branch offices, teams suddenly had to treat every employee as a new branch, leading to performance degradation and outages as they scrambled to reinforce the business’s remote capabilities. A resilience system gives teams the tools and resources they need to provision additional infrastructure, manage networking logic, deploy new security solutions, and more, even while the primary network is offline or under a heavy load. A resilience system is the key to quickly adjusting network performance and security to adapt to sudden changes like a transition to fully remote operations.

Do backups and redundancy equate to network resilience?

The short answer is no; backups and redundancy do not equate to network resilience, though they do contribute to making systems more resilient.

  • Backups are copies of data, configurations, and application code used to do a hot or cold restore when a production system fails. The underlying infrastructure must remain operational for teams to access and use backups, and unless additional resilience measures are taken, it’s easy for backups to become infected or compromised, severely hampering recovery efforts.
  • Redundancy involves duplicating critical systems, services, and applications as a failsafe in case the primaries go down. Organizations can “fail over” to the redundancies to continue critical business operations during outages. However, redundant systems are just as susceptible to failures and infections without additional resilience measures like out-of-band management and isolated management infrastructure.

Backups and redundancy are part of network resilience but alone are not enough to ensure business continuity. Resilience systems focus on maintaining the architecture of the production network while adding the ability to recover or adapt to adversity. The next section discusses all the tools and technologies that make up network resilience systems.

What does a resilience system look like?

There are four key components that go into a resilience system.

Key Components of a Resilience System

Alternative Networking

Full-stack routing and switching, Wi-Fi, VoIP, virtualization, software-defined network overlays for SDN & SD-WAN

Alternative Compute

Full-stack compute, containers, virtual machines, and any other resources needed to run applications and deliver services

Storage & Storage Recovery

Enough storage to recover systems and applications as well as support content delivery

Automation

Tools like zero-touch provisioning (ZTP) to facilitate speedy recovery while minimizing human error

Alternative networking and compute resources ensure the organization can failover in the event of a network failure or continue delivering services when production servers are unavailable. Teams also need enough storage to restore backup data, build new systems, and support the content delivery network (CDN). Automation solutions like zero-touch provisioning (ZTP), configuration management, and security validation tools accelerate the recovery process while mitigating the risk of human error. Combined, these components enable teams to reduce the frequency, severity, and duration of outages, improving overall network resilience.

Network resilience with ZPE Systems

A resilient network will continue delivering critical business services in the face of any challenge, whether from cybercriminals, supply chain issues, global events, or even plain human error. A resilience system is isolated from the production network to ensure security and availability, and it consists of all the tools and technologies needed to troubleshoot, recover, and deliver your most crucial data, applications, and infrastructure. The Nodegrid platform from ZPE Systems is the perfect foundation for a resilience system. Nodegrid is a vendor-neutral, out-of-band management solution capable of running your choice of third-party software. Nodegrid allows you to build a highly customizable IRE containing all the tools needed to safely recover from ransomware. You can even use Nodegrid to deliver services while the primary network or systems are down, making it your all-in-one network resilience multi-tool.

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