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Stepping Into the New Network Architecture

Destiny Bertucci
Auvik

When the COVID-19 pandemic hit, employees that were once loyal to the Monday-Friday office life were given their first taste of what remote-work can be like. And while most thought it would be a temporary solution during unprecedented times, many discovered ways in which remote-work changed their working life for the better. According to a survey done by Owl Labs, after the COVID-19 pandemic 92% of the 10,000 surveyed stated that they expect to work from home at least one day per week, with 80% expecting to work from home at least three days a week. Over the past few years, employers and employees alike have discovered many benefits of allowing individuals to work in environments where they thrive.

It does not, however, come without its challenges. While most thought that distraction and motivation would be the main contributors to low productivity in a work-from-home environment, many organizations discovered that it was gaps in their IT systems that created some of the most significant challenges. During the pandemic, demand for broadband communications skyrocketed, with some operators seeing as much as a 60% increase in internet traffic. Where IT teams had previously had the ability to either physically work on devices with connectivity issues or work directly on the company network, employees working from home or at a coffee shop suddenly posed an entirely new challenge.

In order to combat network and productivity issues, IT teams have turned to SaaS and cloud services to help with employee productivity, making it easier for IT teams to provide the right services for employees no matter where they're working from. Today, SaaS and cloud service have become so prominent that we're predicted to see 25.4 billion active IoT devices by 2030.

While SaaS and cloud services have been a great solution for the shortage of network hardware (due to the ongoing semiconductor chip shortage and supply chain challenges) the sudden growth of cloud computing has changed the needs of the network, and its architecture is sure to need a makeover soon.

All Signs Point to the Economy

Believe it or not, the economy plays a big role in the need for a new network architecture. Prior to the pandemic, businesses were not looking to their IT teams for revenue growth or data on business continuity. If there was a problem with the network, common practice was to simply buy more bandwidth. Then came the supply chain issues and inflation, and businesses found themselves unable to get their hands on the devices they needed to add more bandwidth. Instead, they turned to SaaS and cloud services.

With this software, businesses suddenly had access to data they'd never considered before — Where is their traffic? Where is there congestion? What is the output? Where are employees losing productivity due to our processes? And most importantly — why is any of this occurring? SaaS and cloud services quickly made themselves central to business continuity and efficiency. Even when supply chain issues cleared up and hardware devices were less expensive and easier to find, business leaders had discovered a big business value in SaaS and we're not going to turn back.

So How Does this Change Network Architecture?

Network architecture must lean into the push for software-led devices. Right now, we're just seeing the beginning of the plug-and-play era and the traditional network that would backhaul traffic through data centers, and physical network devices won't suffice as SaaS and cloud services continue to take over. Instead, businesses need a network architecture that can steer traffic directly over the internet, eliminating traffic stops along the way while still providing the network security needed to keep their data safe.

SD-WAN is a hot topic at the moment. Unlike the traditional network architecture, it's designed for cloud computing, eliminating the need for traffic stops that the traditional network needed to connect devices that are in different locations but using the same cloud software. Instead, because SD-WAN is designed for cloud computing, it can route traffic directly over the internet while maintaining a secure connection. However, it is still rather new and poses risks for businesses whose IT teams aren't prepared and trained to work with a different type of network.

Right now, IT professionals and network admins are facing a divide between those who are trained and knowledgeable on how to run a cloud based network vs those who could run and maintain a traditional one. The lack of education on SD-WAN and the broader need for a new network architecture, pose threats to businesses who move forward with SaaS and cloud-based networks without properly trained professionals to manage and maintain it. As we move forward and see a broader adoption of SD-WAN and cloud-based networks, education and training will become more prominent in the industry and help push us forward into the new network architecture.

Destiny Bertucci is Product Strategist at Auvik

The Latest

For decades, enterprise networks were designed around a simple assumption: work happened inside the office. Applications lived in centralized data centers, employees connected through internal infrastructure, and security focused on protecting the perimeter that surrounded everything ... But the way organizations operate today bears little resemblance to that environment. Cloud platforms host critical applications, employees connect from homes and airports as often as they do from offices, and partners collaborate through shared systems that exist far beyond corporate walls. In short, the corporate network no longer resembles the environment it was designed to protect ...

As an analyst who researches how IT organizations design, build, and operate their networks, I find that network data is a constant source of pain. Network teams struggle with data quality, fragmentation, authority, access, and trust. And these issues undermine everything they try to do. Here are the numbers: Only 45% of network teams are completely confident in the accuracy of their network source of truth, which documents the intent of their network ...

The 2026 Global Data Center Survey from Uptime Institute reveals an industry navigating workforce constraints, escalating outage expenses, even as rising costs remain the top concern for management teams ...

The next observability gap may not be in the code. It may be under the rack. That sounds strange until you think about how AI incidents actually feel in the middle of an investigation ... The application dashboard may be accurate. It may also be stopping at the wrong boundary. AI systems depend on software, but they also depend on a dense physical stack: racks, power paths, thermal margin, maintenance activity and, in many environments, liquid cooling. Those physical dependencies can change slowly before they look like a software incident ...

Certificate expiration is the rare outage you can see coming. Every TLS certificate carries the date it stops working, so the moment it will begin breaking connections is knowable in advance. That's what makes an expired certificate such a frustrating way to lose a service. What's changing now is how often that date comes around ...

Enterprises operate different combinations of workloads across cloud, hybrid and multicloud environments. For business-critical workloads, teams need to consider monitoring and observability early so they can detect health issues, investigate failures, and understand operational impact. Organizations place workloads on cloud platforms based on a combination of technical requirements, economics, existing dependencies, organizational standards, and business priorities. Their monitoring priorities therefore depend on what they operate and where those systems run. Those priorities will not look the same for every organization ...

Top-performing businesses prioritize data-driven decision making, enabling leaders to move from intuition and gut feel towards evidence-based judgment. But that judgment is only sound when the data underpinning decisions is accurate. With incident management, data accuracy is particularly important. Long-term revenue, customer trust, and operational stability depend on high-quality data that enables teams to quickly identify and address the root cause of major incidents. Against this backdrop, governance becomes a critical endeavor to ensure the right data drives the right action ...

In MEAN TIME TO INSIGHT Episode 26, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network compliance ... 

Most production autonomous agents do not run in a vacuum. They run inside cloud infrastructure: virtual machines, containers, pods, managed clusters or private servers. That is where most operations teams start monitoring. Is the VM alive? Is the container running? Did the pod restart? Is memory stable? Is CPU too high? Did the health check pass? Those signals are useful. They tell you whether the shell around the agent is alive. They do not tell you whether the agent inside is actually operational ...

Enterprise IT environments have never been more observable ... Yet many organizations still grapple with outages, lengthy incident resolution cycles, and increasing complexity. Most teams do not suffer from a shortage of data. They struggle to determine what deserves attention and what action to take next ... Enterprise IT operations must move beyond monitoring and visibility. The next stage of maturity is decision operations, an approach that helps teams make faster, better-informed decisions ...

Stepping Into the New Network Architecture

Destiny Bertucci
Auvik

When the COVID-19 pandemic hit, employees that were once loyal to the Monday-Friday office life were given their first taste of what remote-work can be like. And while most thought it would be a temporary solution during unprecedented times, many discovered ways in which remote-work changed their working life for the better. According to a survey done by Owl Labs, after the COVID-19 pandemic 92% of the 10,000 surveyed stated that they expect to work from home at least one day per week, with 80% expecting to work from home at least three days a week. Over the past few years, employers and employees alike have discovered many benefits of allowing individuals to work in environments where they thrive.

It does not, however, come without its challenges. While most thought that distraction and motivation would be the main contributors to low productivity in a work-from-home environment, many organizations discovered that it was gaps in their IT systems that created some of the most significant challenges. During the pandemic, demand for broadband communications skyrocketed, with some operators seeing as much as a 60% increase in internet traffic. Where IT teams had previously had the ability to either physically work on devices with connectivity issues or work directly on the company network, employees working from home or at a coffee shop suddenly posed an entirely new challenge.

In order to combat network and productivity issues, IT teams have turned to SaaS and cloud services to help with employee productivity, making it easier for IT teams to provide the right services for employees no matter where they're working from. Today, SaaS and cloud service have become so prominent that we're predicted to see 25.4 billion active IoT devices by 2030.

While SaaS and cloud services have been a great solution for the shortage of network hardware (due to the ongoing semiconductor chip shortage and supply chain challenges) the sudden growth of cloud computing has changed the needs of the network, and its architecture is sure to need a makeover soon.

All Signs Point to the Economy

Believe it or not, the economy plays a big role in the need for a new network architecture. Prior to the pandemic, businesses were not looking to their IT teams for revenue growth or data on business continuity. If there was a problem with the network, common practice was to simply buy more bandwidth. Then came the supply chain issues and inflation, and businesses found themselves unable to get their hands on the devices they needed to add more bandwidth. Instead, they turned to SaaS and cloud services.

With this software, businesses suddenly had access to data they'd never considered before — Where is their traffic? Where is there congestion? What is the output? Where are employees losing productivity due to our processes? And most importantly — why is any of this occurring? SaaS and cloud services quickly made themselves central to business continuity and efficiency. Even when supply chain issues cleared up and hardware devices were less expensive and easier to find, business leaders had discovered a big business value in SaaS and we're not going to turn back.

So How Does this Change Network Architecture?

Network architecture must lean into the push for software-led devices. Right now, we're just seeing the beginning of the plug-and-play era and the traditional network that would backhaul traffic through data centers, and physical network devices won't suffice as SaaS and cloud services continue to take over. Instead, businesses need a network architecture that can steer traffic directly over the internet, eliminating traffic stops along the way while still providing the network security needed to keep their data safe.

SD-WAN is a hot topic at the moment. Unlike the traditional network architecture, it's designed for cloud computing, eliminating the need for traffic stops that the traditional network needed to connect devices that are in different locations but using the same cloud software. Instead, because SD-WAN is designed for cloud computing, it can route traffic directly over the internet while maintaining a secure connection. However, it is still rather new and poses risks for businesses whose IT teams aren't prepared and trained to work with a different type of network.

Right now, IT professionals and network admins are facing a divide between those who are trained and knowledgeable on how to run a cloud based network vs those who could run and maintain a traditional one. The lack of education on SD-WAN and the broader need for a new network architecture, pose threats to businesses who move forward with SaaS and cloud-based networks without properly trained professionals to manage and maintain it. As we move forward and see a broader adoption of SD-WAN and cloud-based networks, education and training will become more prominent in the industry and help push us forward into the new network architecture.

Destiny Bertucci is Product Strategist at Auvik

The Latest

For decades, enterprise networks were designed around a simple assumption: work happened inside the office. Applications lived in centralized data centers, employees connected through internal infrastructure, and security focused on protecting the perimeter that surrounded everything ... But the way organizations operate today bears little resemblance to that environment. Cloud platforms host critical applications, employees connect from homes and airports as often as they do from offices, and partners collaborate through shared systems that exist far beyond corporate walls. In short, the corporate network no longer resembles the environment it was designed to protect ...

As an analyst who researches how IT organizations design, build, and operate their networks, I find that network data is a constant source of pain. Network teams struggle with data quality, fragmentation, authority, access, and trust. And these issues undermine everything they try to do. Here are the numbers: Only 45% of network teams are completely confident in the accuracy of their network source of truth, which documents the intent of their network ...

The 2026 Global Data Center Survey from Uptime Institute reveals an industry navigating workforce constraints, escalating outage expenses, even as rising costs remain the top concern for management teams ...

The next observability gap may not be in the code. It may be under the rack. That sounds strange until you think about how AI incidents actually feel in the middle of an investigation ... The application dashboard may be accurate. It may also be stopping at the wrong boundary. AI systems depend on software, but they also depend on a dense physical stack: racks, power paths, thermal margin, maintenance activity and, in many environments, liquid cooling. Those physical dependencies can change slowly before they look like a software incident ...

Certificate expiration is the rare outage you can see coming. Every TLS certificate carries the date it stops working, so the moment it will begin breaking connections is knowable in advance. That's what makes an expired certificate such a frustrating way to lose a service. What's changing now is how often that date comes around ...

Enterprises operate different combinations of workloads across cloud, hybrid and multicloud environments. For business-critical workloads, teams need to consider monitoring and observability early so they can detect health issues, investigate failures, and understand operational impact. Organizations place workloads on cloud platforms based on a combination of technical requirements, economics, existing dependencies, organizational standards, and business priorities. Their monitoring priorities therefore depend on what they operate and where those systems run. Those priorities will not look the same for every organization ...

Top-performing businesses prioritize data-driven decision making, enabling leaders to move from intuition and gut feel towards evidence-based judgment. But that judgment is only sound when the data underpinning decisions is accurate. With incident management, data accuracy is particularly important. Long-term revenue, customer trust, and operational stability depend on high-quality data that enables teams to quickly identify and address the root cause of major incidents. Against this backdrop, governance becomes a critical endeavor to ensure the right data drives the right action ...

In MEAN TIME TO INSIGHT Episode 26, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network compliance ... 

Most production autonomous agents do not run in a vacuum. They run inside cloud infrastructure: virtual machines, containers, pods, managed clusters or private servers. That is where most operations teams start monitoring. Is the VM alive? Is the container running? Did the pod restart? Is memory stable? Is CPU too high? Did the health check pass? Those signals are useful. They tell you whether the shell around the agent is alive. They do not tell you whether the agent inside is actually operational ...

Enterprise IT environments have never been more observable ... Yet many organizations still grapple with outages, lengthy incident resolution cycles, and increasing complexity. Most teams do not suffer from a shortage of data. They struggle to determine what deserves attention and what action to take next ... Enterprise IT operations must move beyond monitoring and visibility. The next stage of maturity is decision operations, an approach that helps teams make faster, better-informed decisions ...