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The Future of Networking

Matt Krieg
Graphiant

The internet is generally said to have been born in 1989, and since then, every 11 years, there have been significant changes to core networking technology. Why? Because as enterprise networks grew, they required additional scale, speed, reliability, security, and privacy.

The first shift was from frame relay and IP over ATM to MPLS in the early 2000s. MPLS provided better performance, reliability, and security. Next was the shift to SD-WAN in 2012. SD-WAN dramatically lowered costs and provided much-needed agility.

So, 11 years later, we're due for a big shift — but to what? To find out, Graphiant commissioned the 2023 State of Network Edge survey. The findings do, in fact, point to an eminent shift.

Rise of New Networking Use Cases

Providing connectivity between all enterprise resources (data center, branch offices, factories, and employees) has always been a primary use case for the network.

But respondents reported the rise of two important network use cases:

■ Connecting to partner or customer networks

■ Connecting to cloud(s)

These use cases started to rise three years ago, and by three years from now, they will join connecting enterprise resources as the top use cases enterprises must solve.

Building Edge Networks is Difficult

Interestingly, these three use cases are also the ones respondents rated the most difficult to handle.


Three reasons are driving this difficulty:

Scale. Enterprises now connect to more nodes than ever. For example, enterprises now connect to remote employees, partners, customers, and multiple clouds.

Security & Privacy. Traffic routinely travels through a digital wilderness over which IT has no visibility or control.

Agility. MPLS takes 3 to 6 months to provision. SD-WAN requires IT to set up an enormous number of tunnels. But enterprises cannot wait. Connections are now provisioned at the speed of business. Months need to become hours or minutes.

The Most Important Objectives are also the Most Challenging

The metrics most important to enterprises are also the most challenging to achieve — security, performance, uptime, privacy, and scalability. Unfortunately, these are also the hardest to achieve.


The reason? Existing networking technology is failing at delivering these. Respondents gave MPLS, SD-WAN, and multicloud technologies failing grades, especially with agility and cost.


Is Network-as-a-Service the Answer?

Network-as-a-Service (NaaS) holds promise. It is extremely agile to provision (as is typical of as-a-Service solutions). Would network architects and admins consider an as-a-Service solution if a NaaS solution can also nail performance and security/privacy?

Before we answer that question, it's helpful to see the extent to which enterprises have adopted other classes of as-a-Service solutions. In fact, the adoption of as-a-Service has been robust.


Nearly everyone uses SaaS, and most use Storage- and Compute-as-a-Service.

As for NaaS, seven in eight respondents say they are likely to move to NaaS. In fact, one in four say they are extremely likely.


How to Move to NaaS

Which leaves the last question — how can enterprises prepare for NaaS? Here are three questions to consider:

1. What are your goals, and is your current solution delivering what you need to your customers? Is it security, performance, privacy, scalability, agility, or cost savings that you need to focus on?

In the long term, how much cost savings are there in building bespoke networks?

2. Can your enterprise continue to build enough bespoke networks to accommodate these types of use cases over the next 3 years?

Have you considered Network as-a-Service for your business? We live in a dynamic world where more connections are needed, and the next phase in next-gen connectivity is to consume the network.

3. How effectively are you addressing the following use cases: connectivity between all enterprise resources, connectivity with all the public clouds the enterprise uses, and connectivity with external organizations? Is it possible to engage expert assistance to help in your quest for network sovereignty?

Legacy models of connectivity don't work anymore, especially in the modern world. You need to control the network before it controls you. This new world focuses on a modern world where enterprises can take back control of their network before their network controls them — all through a new business model where enterprises would only need to consume the network instead of building it.

Methodology: Eleven Research surveyed 200 network architects and network admins from large enterprises in North America. The respondents were senior, director, VP and C-level IT managers. Eleven Research chose respondents who spent at least 50% of their time designing, provisioning, and managing the network edge.

Matt Krieg is VP of Sales and Marketing at Graphiant

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The Future of Networking

Matt Krieg
Graphiant

The internet is generally said to have been born in 1989, and since then, every 11 years, there have been significant changes to core networking technology. Why? Because as enterprise networks grew, they required additional scale, speed, reliability, security, and privacy.

The first shift was from frame relay and IP over ATM to MPLS in the early 2000s. MPLS provided better performance, reliability, and security. Next was the shift to SD-WAN in 2012. SD-WAN dramatically lowered costs and provided much-needed agility.

So, 11 years later, we're due for a big shift — but to what? To find out, Graphiant commissioned the 2023 State of Network Edge survey. The findings do, in fact, point to an eminent shift.

Rise of New Networking Use Cases

Providing connectivity between all enterprise resources (data center, branch offices, factories, and employees) has always been a primary use case for the network.

But respondents reported the rise of two important network use cases:

■ Connecting to partner or customer networks

■ Connecting to cloud(s)

These use cases started to rise three years ago, and by three years from now, they will join connecting enterprise resources as the top use cases enterprises must solve.

Building Edge Networks is Difficult

Interestingly, these three use cases are also the ones respondents rated the most difficult to handle.


Three reasons are driving this difficulty:

Scale. Enterprises now connect to more nodes than ever. For example, enterprises now connect to remote employees, partners, customers, and multiple clouds.

Security & Privacy. Traffic routinely travels through a digital wilderness over which IT has no visibility or control.

Agility. MPLS takes 3 to 6 months to provision. SD-WAN requires IT to set up an enormous number of tunnels. But enterprises cannot wait. Connections are now provisioned at the speed of business. Months need to become hours or minutes.

The Most Important Objectives are also the Most Challenging

The metrics most important to enterprises are also the most challenging to achieve — security, performance, uptime, privacy, and scalability. Unfortunately, these are also the hardest to achieve.


The reason? Existing networking technology is failing at delivering these. Respondents gave MPLS, SD-WAN, and multicloud technologies failing grades, especially with agility and cost.


Is Network-as-a-Service the Answer?

Network-as-a-Service (NaaS) holds promise. It is extremely agile to provision (as is typical of as-a-Service solutions). Would network architects and admins consider an as-a-Service solution if a NaaS solution can also nail performance and security/privacy?

Before we answer that question, it's helpful to see the extent to which enterprises have adopted other classes of as-a-Service solutions. In fact, the adoption of as-a-Service has been robust.


Nearly everyone uses SaaS, and most use Storage- and Compute-as-a-Service.

As for NaaS, seven in eight respondents say they are likely to move to NaaS. In fact, one in four say they are extremely likely.


How to Move to NaaS

Which leaves the last question — how can enterprises prepare for NaaS? Here are three questions to consider:

1. What are your goals, and is your current solution delivering what you need to your customers? Is it security, performance, privacy, scalability, agility, or cost savings that you need to focus on?

In the long term, how much cost savings are there in building bespoke networks?

2. Can your enterprise continue to build enough bespoke networks to accommodate these types of use cases over the next 3 years?

Have you considered Network as-a-Service for your business? We live in a dynamic world where more connections are needed, and the next phase in next-gen connectivity is to consume the network.

3. How effectively are you addressing the following use cases: connectivity between all enterprise resources, connectivity with all the public clouds the enterprise uses, and connectivity with external organizations? Is it possible to engage expert assistance to help in your quest for network sovereignty?

Legacy models of connectivity don't work anymore, especially in the modern world. You need to control the network before it controls you. This new world focuses on a modern world where enterprises can take back control of their network before their network controls them — all through a new business model where enterprises would only need to consume the network instead of building it.

Methodology: Eleven Research surveyed 200 network architects and network admins from large enterprises in North America. The respondents were senior, director, VP and C-level IT managers. Eleven Research chose respondents who spent at least 50% of their time designing, provisioning, and managing the network edge.

Matt Krieg is VP of Sales and Marketing at Graphiant

The Latest

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.