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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.

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2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...

Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...

An overwhelming majority of IT leaders (95%) believe the upcoming wave of AI-powered digital transformation is set to be the most impactful and intensive seen thus far, according to The Science of Productivity: AI, Adoption, And Employee Experience, a new report from Nexthink ...

Overall outage frequency and the general level of reported severity continue to decline, according to the Outage Analysis 2025 from Uptime Institute. However, cyber security incidents are on the rise and often have severe, lasting impacts ...

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Regardless of their scale, business decisions often take time, effort, and a lot of back-and-forth discussion to reach any sort of actionable conclusion ... Any means of streamlining this process and getting from complex problems to optimal solutions more efficiently and reliably is key. How can organizations optimize their decision-making to save time and reduce excess effort from those involved? ...

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According to Auvik's 2025 IT Trends Report, 60% of IT professionals feel at least moderately burned out on the job, with 43% stating that their workload is contributing to work stress. At the same time, many IT professionals are naming AI and machine learning as key areas they'd most like to upskill ...

Businesses that face downtime or outages risk financial and reputational damage, as well as reducing partner, shareholder, and customer trust. One of the major challenges that enterprises face is implementing a robust business continuity plan. What's the solution? The answer may lie in disaster recovery tactics such as truly immutable storage and regular disaster recovery testing ...

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