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How to Enhance SD-WAN Efficiency with DNS-Based Application Routing

Jim Offutt
EfficientIP

Keeping networks operational is critical for businesses to run smoothly. The Ponemon Institute estimates that the average cost of an unplanned network outage is $8,850 per minute, a staggering number. In addition to cost, a network failure has a negative effect on application efficiency and user experience.

One area where networks tend to fail is in app delivery continuity. As multi-cloud environments grow more and more popular for hosting apps, finding the best way to route users across networks to their desired applications is becoming challenging. Not only are there a larger number of network exit points, but it is more difficult to define the best path to take for a user to access an app.

Typically the best path includes parameters like performance of the app itself or availability of the app, meaning that the app should be reachable via the path defined. Finding the best path can be a reasonably straightforward task, but only if all network components are functioning properly. As networks become more complex, a scenario where an application becomes unreachable (such as due to WAN failure) is all too likely.

The more complex the network, the higher the cost of failure. Enterprise Management Associates assessed the damage of one hour of WAN downtime in a 100-branch enterprise and a 1,000-branch enterprise; they found that a 100-branch enterprise loses $300,000 per hour of downtime, while a 1,000-branch enterprise could lose up to $1 million per hour.

Fortunately, a variety of solutions exist that could prevent such losses. One is a home-made multi-WAN vendor routing diversity; however, this is best for large enterprises with IP networking experts I&O.

A simpler solution is SD-WAN, or software-defined wide area network. SD-WAN automatically selects the route to take to reach an IP destination. But like any IP routing solution, it does not select the destination to go to; it tells you how to go, not where to go. It is a popular option for many companies, since it is excellent in efficiency and redundancy and can apply political or financial routing rules, not just technical IP routing.

However, a main drawback is that if any component on the path goes down, SD-WAN just drops the application traffic — it is unable to propose a new path to reach the same app hosted on a different server or in a different datacenter. Therefore, SD-WAN alone is not enough to ensure app delivery continuity; while it can control access to apps, SD-WAN is unable to guarantee that the app being requested is reachable by the user. For that, you need an application-aware routing solution to augment your network.

This is where DNS-based routing comes in. Before knowing how to go somewhere (with SD-WAN), you need to know where you want to go. DNS already performs the role of selecting the destination, and the best way to detect that the app is reachable is from the viewpoint of the user. Intelligent routing decisions should therefore be taken as close as possible to users, to enable "application aware routing"; a recursive DNS located near enterprise users is ideally placed.

Indeed, putting app routing control functionality into DNS located at the edge of the network makes sense. This is essentially how a DNS Global Server Load Balancer (GSLB), located at the network edge, would work; by continuously checking availability of app resources, following the same network path that will be used by the user to reach the app. The DNS GSLB could quickly detect an application access failure and "force" an alternative destination (a new IP address for the same application name).

Early failure detection, followed by automatic failover, would ensure that users are always routed to the app in an accessible datacenter. This would guarantee the desired app availability.


Adding DNS GSLB capability at the network edge covers scenarios that SD-WAN cannot handle. This includes detecting application access failure (IP path or server infrastructure or configuration), reacting on the user’s behalf on WAN failure, and selecting the best destination based on application response time metric. The bottom line is that everyone already uses DNS; it would therefore make sense to incorporate the GSLB functionality, and provide it at the edge.

DNS GSLB and SD-WAN are complementary to each other. SD-WAN chooses the how, DNS chooses the where, and adding DNS GSLB functionality as close as possible to users offers increased intelligence on the where. Moving DNS GSLB to the edge is disruptive in that it offers a smarter approach for controlling app traffic routing, one that is simple to implement and efficient in use.

Jim Offutt is Senior Solutions Architect at EfficientIP

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How to Enhance SD-WAN Efficiency with DNS-Based Application Routing

Jim Offutt
EfficientIP

Keeping networks operational is critical for businesses to run smoothly. The Ponemon Institute estimates that the average cost of an unplanned network outage is $8,850 per minute, a staggering number. In addition to cost, a network failure has a negative effect on application efficiency and user experience.

One area where networks tend to fail is in app delivery continuity. As multi-cloud environments grow more and more popular for hosting apps, finding the best way to route users across networks to their desired applications is becoming challenging. Not only are there a larger number of network exit points, but it is more difficult to define the best path to take for a user to access an app.

Typically the best path includes parameters like performance of the app itself or availability of the app, meaning that the app should be reachable via the path defined. Finding the best path can be a reasonably straightforward task, but only if all network components are functioning properly. As networks become more complex, a scenario where an application becomes unreachable (such as due to WAN failure) is all too likely.

The more complex the network, the higher the cost of failure. Enterprise Management Associates assessed the damage of one hour of WAN downtime in a 100-branch enterprise and a 1,000-branch enterprise; they found that a 100-branch enterprise loses $300,000 per hour of downtime, while a 1,000-branch enterprise could lose up to $1 million per hour.

Fortunately, a variety of solutions exist that could prevent such losses. One is a home-made multi-WAN vendor routing diversity; however, this is best for large enterprises with IP networking experts I&O.

A simpler solution is SD-WAN, or software-defined wide area network. SD-WAN automatically selects the route to take to reach an IP destination. But like any IP routing solution, it does not select the destination to go to; it tells you how to go, not where to go. It is a popular option for many companies, since it is excellent in efficiency and redundancy and can apply political or financial routing rules, not just technical IP routing.

However, a main drawback is that if any component on the path goes down, SD-WAN just drops the application traffic — it is unable to propose a new path to reach the same app hosted on a different server or in a different datacenter. Therefore, SD-WAN alone is not enough to ensure app delivery continuity; while it can control access to apps, SD-WAN is unable to guarantee that the app being requested is reachable by the user. For that, you need an application-aware routing solution to augment your network.

This is where DNS-based routing comes in. Before knowing how to go somewhere (with SD-WAN), you need to know where you want to go. DNS already performs the role of selecting the destination, and the best way to detect that the app is reachable is from the viewpoint of the user. Intelligent routing decisions should therefore be taken as close as possible to users, to enable "application aware routing"; a recursive DNS located near enterprise users is ideally placed.

Indeed, putting app routing control functionality into DNS located at the edge of the network makes sense. This is essentially how a DNS Global Server Load Balancer (GSLB), located at the network edge, would work; by continuously checking availability of app resources, following the same network path that will be used by the user to reach the app. The DNS GSLB could quickly detect an application access failure and "force" an alternative destination (a new IP address for the same application name).

Early failure detection, followed by automatic failover, would ensure that users are always routed to the app in an accessible datacenter. This would guarantee the desired app availability.


Adding DNS GSLB capability at the network edge covers scenarios that SD-WAN cannot handle. This includes detecting application access failure (IP path or server infrastructure or configuration), reacting on the user’s behalf on WAN failure, and selecting the best destination based on application response time metric. The bottom line is that everyone already uses DNS; it would therefore make sense to incorporate the GSLB functionality, and provide it at the edge.

DNS GSLB and SD-WAN are complementary to each other. SD-WAN chooses the how, DNS chooses the where, and adding DNS GSLB functionality as close as possible to users offers increased intelligence on the where. Moving DNS GSLB to the edge is disruptive in that it offers a smarter approach for controlling app traffic routing, one that is simple to implement and efficient in use.

Jim Offutt is Senior Solutions Architect at EfficientIP

Hot Topics

The Latest

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.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...