Today's Top WAN Issues and How to Solve Them - Part 2

The top SD-WAN implantation challenges IT professionals experience today
Jay Botelho
Learn more about LiveAction

In Part 1 of this series, we explored the top pain points associated with managing Internet-based WANs today. This second installment will focus on today's most prevalent SD-WAN deployment challenges specifically and what you can do to better manage modern WANs overall.

Start with Today's Top WAN Issues and How to Solve Them - Part 1

Many organizations flock to SD-WAN to realize potential network performance, security and cost reduction benefits. But according to recent research from EMA, it's not all sunshine and rainbows. Here are several of the top SD-WAN implantation challenges IT professionals experience today:

1. Implementation Complexity

More than 40% of organizations identify implementation complexity as a top hurdle to SD-WAN success. Most organizations introduce public Internet options into their SD-WAN, and these increase complexity for many of the reasons highlighted in Part 1 of this series, but also because they require additional security technologies that IT teams aren't as accustomed to managing.

Additionally, you need to integrate SD-WANs with existing network elements, which can account for additional complexity and the need for in-depth programming and scripting expertise. SD-WAN success demands a detailed set of expectations for what the solutions should achieve concerning performance, security and cost, as well as a clear accounting of all the existing elements in your network.

Assembling this information and establishing an exhaustive integration plan is the only way to manage the inherent complexity of a new SD-WAN deployment (and avoid cost overruns and frustration).

2. Integration with Existing Network Technology

SD-WANs are essentially just an overlay on top of your existing network, which many take to mean they're simple to deploy. But, nearly 40% of IT professionals cited integration with current network technology as a significant SD-WAN roadblock. As the name implies, "soft-defined" means this software must communicate with all your existing hardware and software network components — something far easier said than done.

Are you doing the integration or is the SD-WAN vendor?

What existing network elements will be the most challenging?

What skills are required?

SD-WAN is a relatively new technology, so if you have some older components in your network, compatibility with this new SD-WAN technology could be an issue or drive up the solution's cost.

For example, say you have your entire SD-WAN project scoped out, including integration costs, and you're ready to go. Then you realize you have some fairly old switches in your stack that you didn't realize don't integrate properly with your chosen SD-WAN solution. Without the proper visibility, tools and planning, it's easy to miss certain points of integration and run into time-consuming obstacles and budget overages.

3. Network Team Skills Gaps

Roughly 22% of organizations believe skills deficits within their network team are impeding progress on SD-WAN deployment projects. These issues can quickly become apparent when organizations decide to forgo the help of an SD-WAN vendor and perform the integration for a new rollout internally in the interest of saving money.

As teams begin digging into these projects, they often realize SD-WAN integrations are not as "plug-and-play" as vendors typically advertise. SD-WAN deployments require skillsets that might be in short supply within most NetOps teams. Whether it's a lack of familiarity with security solutions and procedures, software development and scripting expertise, or experience troubleshooting issues at ISPs, you're sure to experience schedule delays and cost increases as the team learns on the job or brings in a third party to help.

The Power of End-to-End Network Visibility

When asked to identify the top root causes of WAN issues today, 30% of organizations listed application errors and performance, while 30% cited ISP or MPLS providers, and 28% listed end-user error or client device failure. Establishing comprehensive network visibility is the key to addressing these issues, and managing and optimizing your modern WAN.

Distributed organizations such as retailer chains and healthcare branches need end-to-end network visibility to identify application performance issues such as intermittent asymmetric VoIP routing issues, poor traffic flows from branches to the data center, and WAN application traffic steering problems.

Flow-based network analysis can help perform real-time network topology mapping for devices, interfaces, applications, VPNs and users. It can also help establish critical baselines for SD-WAN deployments, such as site-to-site traffic types and paths, application behaviors and consumption patterns, and more.

These are just a few examples that illustrate why your team must establish end-to-end network visibility in order to address today's hybrid WAN challenges and their root causes. This means leveraging modern network monitoring solutions to collect and analyze disparate data sources, including network flow data, packet data, device metrics, active monitoring data, endpoint data, and cloud provider flow data. Hybrid WANs are here to stay, and the common issues associated with them will be too unless you're equipped to visualize and manage every domain and element of your network.

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Today's Top WAN Issues and How to Solve Them - Part 2

The top SD-WAN implantation challenges IT professionals experience today
Jay Botelho
Learn more about LiveAction

In Part 1 of this series, we explored the top pain points associated with managing Internet-based WANs today. This second installment will focus on today's most prevalent SD-WAN deployment challenges specifically and what you can do to better manage modern WANs overall.

Start with Today's Top WAN Issues and How to Solve Them - Part 1

Many organizations flock to SD-WAN to realize potential network performance, security and cost reduction benefits. But according to recent research from EMA, it's not all sunshine and rainbows. Here are several of the top SD-WAN implantation challenges IT professionals experience today:

1. Implementation Complexity

More than 40% of organizations identify implementation complexity as a top hurdle to SD-WAN success. Most organizations introduce public Internet options into their SD-WAN, and these increase complexity for many of the reasons highlighted in Part 1 of this series, but also because they require additional security technologies that IT teams aren't as accustomed to managing.

Additionally, you need to integrate SD-WANs with existing network elements, which can account for additional complexity and the need for in-depth programming and scripting expertise. SD-WAN success demands a detailed set of expectations for what the solutions should achieve concerning performance, security and cost, as well as a clear accounting of all the existing elements in your network.

Assembling this information and establishing an exhaustive integration plan is the only way to manage the inherent complexity of a new SD-WAN deployment (and avoid cost overruns and frustration).

2. Integration with Existing Network Technology

SD-WANs are essentially just an overlay on top of your existing network, which many take to mean they're simple to deploy. But, nearly 40% of IT professionals cited integration with current network technology as a significant SD-WAN roadblock. As the name implies, "soft-defined" means this software must communicate with all your existing hardware and software network components — something far easier said than done.

Are you doing the integration or is the SD-WAN vendor?

What existing network elements will be the most challenging?

What skills are required?

SD-WAN is a relatively new technology, so if you have some older components in your network, compatibility with this new SD-WAN technology could be an issue or drive up the solution's cost.

For example, say you have your entire SD-WAN project scoped out, including integration costs, and you're ready to go. Then you realize you have some fairly old switches in your stack that you didn't realize don't integrate properly with your chosen SD-WAN solution. Without the proper visibility, tools and planning, it's easy to miss certain points of integration and run into time-consuming obstacles and budget overages.

3. Network Team Skills Gaps

Roughly 22% of organizations believe skills deficits within their network team are impeding progress on SD-WAN deployment projects. These issues can quickly become apparent when organizations decide to forgo the help of an SD-WAN vendor and perform the integration for a new rollout internally in the interest of saving money.

As teams begin digging into these projects, they often realize SD-WAN integrations are not as "plug-and-play" as vendors typically advertise. SD-WAN deployments require skillsets that might be in short supply within most NetOps teams. Whether it's a lack of familiarity with security solutions and procedures, software development and scripting expertise, or experience troubleshooting issues at ISPs, you're sure to experience schedule delays and cost increases as the team learns on the job or brings in a third party to help.

The Power of End-to-End Network Visibility

When asked to identify the top root causes of WAN issues today, 30% of organizations listed application errors and performance, while 30% cited ISP or MPLS providers, and 28% listed end-user error or client device failure. Establishing comprehensive network visibility is the key to addressing these issues, and managing and optimizing your modern WAN.

Distributed organizations such as retailer chains and healthcare branches need end-to-end network visibility to identify application performance issues such as intermittent asymmetric VoIP routing issues, poor traffic flows from branches to the data center, and WAN application traffic steering problems.

Flow-based network analysis can help perform real-time network topology mapping for devices, interfaces, applications, VPNs and users. It can also help establish critical baselines for SD-WAN deployments, such as site-to-site traffic types and paths, application behaviors and consumption patterns, and more.

These are just a few examples that illustrate why your team must establish end-to-end network visibility in order to address today's hybrid WAN challenges and their root causes. This means leveraging modern network monitoring solutions to collect and analyze disparate data sources, including network flow data, packet data, device metrics, active monitoring data, endpoint data, and cloud provider flow data. Hybrid WANs are here to stay, and the common issues associated with them will be too unless you're equipped to visualize and manage every domain and element of your network.

Related Links

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Related Vendors

The Latest

Observability Costs Rising Faster Than Value

The gap is widening between what teams spend on observability tools and the value they receive amid surging data volumes and budget pressures, according to The Breaking Point for Observability Leaders, a report from Imply ...

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Seamless shopping is a basic demand of today's boundaryless consumer — one with little patience for friction, limited tolerance for disconnected experiences and minimal hesitation in switching brands. Customers expect intuitive, highly personalized experiences and the ability to move effortlessly across physical and digital channels within the same journey. Failure to deliver can cost dearly ...

IT's Motivation Crisis Is Really a Process Crisis

If your best engineers spend their days sorting tickets and resetting access, you are wasting talent. New global data shows that employees in the IT sector rank among the least motivated across industries. They're under a lot of pressure from many angles. Pressure to upskill and uncertainty around what agentic AI means for job security is creating anxiety. Meanwhile, these roles often function like an on-call job and require many repetitive tasks ...

AI Now Interacts With Production Databases in 96.5% of Organizations as Governance Automation Lags

In a 2026 survey conducted by Liquibase, the research found that 96.5% of organizations reported at least one AI or LLM interaction with their production databases, often through analytics and reporting, training pipelines, internal copilots, and AI generated SQL. Only a small fraction reported no interaction at all. That means the database is no longer a downstream system that AI "might" reach later. AI is already there ...

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In many organizations, IT still operates as a reactive service provider. Systems are managed through fragmented tools, teams focus heavily on operational metrics, and business leaders often see IT as a necessary cost center rather than a strategic partner. Even well-run ITIL environments can struggle to bridge the gap between operational excellence and business impact. This is where the concept of ITIL+ comes in ...

UK Organizations Hit Observability Breaking Point

UK IT leaders are reaching a critical inflection point in how they manage observability, according to research from LogicMonitor. As infrastructure complexity grows and AI adoption accelerates, fragmented monitoring environments are driving organizations to rethink their operational strategies and consolidate tools ...

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For years, many infrastructure teams treated the edge as a deployment variation. It was seen as the same cloud model, only stretched outward: more devices, more gateways, more locations and a little more latency. That assumption is proving costly. The edge is not just another place to run workloads. It is a fundamentally different operating condition ...

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