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Ease IoT Complexity at the Branch with SD-WAN

Shamus McGillicuddy

Software-defined WAN (SD-WAN) solutions will play an important role in enabling enterprise Internet of Things (IoT) initiatives. Most enterprises are experiencing growth in the number of endpoints connecting to the network in branch offices and remote sites. According to recent Enterprise Management Associates (EMA) research, 59% of enterprises say that IoT devices are a significant source of that growth, contributing more than smartphones and tablets.

IoT devices in remote sites will present challenges around bandwidth, security, policy management, and more. These challenges will be exacerbated by the fact that most remote sites lack onsite IT personnel who can ensure that IoT devices are safely connected to the network. SD-WAN solutions have the potential to address many of these challenges.

SD-WAN Addresses IoT Bandwidth Demands, QoS Complexity

Nearly half (47%) of network professionals involved in an IoT initiative are delivering IoT connectivity via their existing WAN services, according to EMA research. Additionally, 77% of network teams expect their IoT ecosystems to add “significant” or “very significant” traffic to the network by next year. And many IoT applications receive a high priority on the network.

Our research has found that 27% of network pros assign IoT traffic a high quality of service (QoS) setting, and only 12% dump IoT traffic into a best-effort QoS tier. Thus, IoT devices not only demand bandwidth. They may bump other applications out of the way. Enterprises are going to need more bandwidth and more sophisticated QoS technology.

Fortunately, SD-WAN solutions deliver added bandwidth and granular, easy-to-use QoS controls. SD-WAN solutions are highly programmable via a graphical user interface, allowing engineers to assign and adjust QoS settings for applications on a global basis. SD-WAN solutions also enable hybrid connectivity, allowing enterprises to supplement MPLS connectivity with cheaper broadband links. This drives down the cost per bit at remote sites without sacrificing network service reliability.

SD-WAN Will Help Secure IoT at the Branch

The very same programmatic controls that facilitate QoS management in SD-WAN technology will also help enterprises segment the network and secure IoT connectivity. From a central location, network engineers can use a SD-WAN’s graphical user interface to create global VLANs dedicated to IoT, ensuring that thermostats and factory robots are never able to ping a financial records database, for instance. This is critical because IoT presents myriad security problems for the network team.

IoT devices often lack the power and computing resources necessary to support channel-based security techniques like TLS. These same constraints also make it difficult for network managers to discover IoT devices with traditional network management tools, which challenges their ability to find rogue devices. Strict LAN segmentation that maps onto SD-WAN segments ensures that isolation is maintained throughout the network.

SD-WAN solutions also typically offer native or third-party integrated security services, like firewall and malware detection. These security services can be deployed in a distributed architecture, allowing granular security controls at every branch. As EMA research has shown that nearly half of network teams (47%) have determined that their existing network security infrastructure cannot cope with the scale of their IoT ecosystems, these security controls will prove especially valuable to enterprises. The distributed security model of an SD-WAN solution will ease this scaling issue.

If you are supporting IoT on your WAN, ask your SD-WAN vendor if they can help.

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Ease IoT Complexity at the Branch with SD-WAN

Shamus McGillicuddy

Software-defined WAN (SD-WAN) solutions will play an important role in enabling enterprise Internet of Things (IoT) initiatives. Most enterprises are experiencing growth in the number of endpoints connecting to the network in branch offices and remote sites. According to recent Enterprise Management Associates (EMA) research, 59% of enterprises say that IoT devices are a significant source of that growth, contributing more than smartphones and tablets.

IoT devices in remote sites will present challenges around bandwidth, security, policy management, and more. These challenges will be exacerbated by the fact that most remote sites lack onsite IT personnel who can ensure that IoT devices are safely connected to the network. SD-WAN solutions have the potential to address many of these challenges.

SD-WAN Addresses IoT Bandwidth Demands, QoS Complexity

Nearly half (47%) of network professionals involved in an IoT initiative are delivering IoT connectivity via their existing WAN services, according to EMA research. Additionally, 77% of network teams expect their IoT ecosystems to add “significant” or “very significant” traffic to the network by next year. And many IoT applications receive a high priority on the network.

Our research has found that 27% of network pros assign IoT traffic a high quality of service (QoS) setting, and only 12% dump IoT traffic into a best-effort QoS tier. Thus, IoT devices not only demand bandwidth. They may bump other applications out of the way. Enterprises are going to need more bandwidth and more sophisticated QoS technology.

Fortunately, SD-WAN solutions deliver added bandwidth and granular, easy-to-use QoS controls. SD-WAN solutions are highly programmable via a graphical user interface, allowing engineers to assign and adjust QoS settings for applications on a global basis. SD-WAN solutions also enable hybrid connectivity, allowing enterprises to supplement MPLS connectivity with cheaper broadband links. This drives down the cost per bit at remote sites without sacrificing network service reliability.

SD-WAN Will Help Secure IoT at the Branch

The very same programmatic controls that facilitate QoS management in SD-WAN technology will also help enterprises segment the network and secure IoT connectivity. From a central location, network engineers can use a SD-WAN’s graphical user interface to create global VLANs dedicated to IoT, ensuring that thermostats and factory robots are never able to ping a financial records database, for instance. This is critical because IoT presents myriad security problems for the network team.

IoT devices often lack the power and computing resources necessary to support channel-based security techniques like TLS. These same constraints also make it difficult for network managers to discover IoT devices with traditional network management tools, which challenges their ability to find rogue devices. Strict LAN segmentation that maps onto SD-WAN segments ensures that isolation is maintained throughout the network.

SD-WAN solutions also typically offer native or third-party integrated security services, like firewall and malware detection. These security services can be deployed in a distributed architecture, allowing granular security controls at every branch. As EMA research has shown that nearly half of network teams (47%) have determined that their existing network security infrastructure cannot cope with the scale of their IoT ecosystems, these security controls will prove especially valuable to enterprises. The distributed security model of an SD-WAN solution will ease this scaling issue.

If you are supporting IoT on your WAN, ask your SD-WAN vendor if they can help.

Hot Topics

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In MEAN TIME TO INSIGHT Episode 14, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud network observability... 

While companies adopt AI at a record pace, they also face the challenge of finding a smart and scalable way to manage its rapidly growing costs. This requires balancing the massive possibilities inherent in AI with the need to control cloud costs, aim for long-term profitability and optimize spending ...

Telecommunications is expanding at an unprecedented pace ... But progress brings complexity. As WanAware's 2025 Telecom Observability Benchmark Report reveals, many operators are discovering that modernization requires more than physical build outs and CapEx — it also demands the tools and insights to manage, secure, and optimize this fast-growing infrastructure in real time ...

As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...

Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...

AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...

Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...

A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

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