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What IoT Challenges are Coming to Your Network Teams?

Chris Bihary

Self-driving cars, integrated toys, smart home appliances, and even critical infrastructure have all become part of the ecosystem of Internet of Things (IoT) devices, which begs the concerning question, "How will network administrators process all the data generated?"

IoT has introduced new pathways into data centers because the technology relies on TCP/IP communications that may have a detrimental impact on traffic and, more important, data center security. And while a significant amount of the data that is collected at the edge is managed and manipulated there, eventually the data, in some form, makes its way back to a central location. 

Managing a data centers IoT might appear simple, with many of the devices performing simple processes such as turning lights on or off or perhaps even monitoring temperature. The very simplicity of this challenges larger issues involving security, connectivity, and operational concerns.

As IoT devices are feeding data into data centers, from both internal and external devices, while also introducing new requirements and new types of data, we need to ready for the exponential growth in the market and the astonishing number of IoT devices expected to be nearly triple the planet’s human population by 2020.

With each added device will come increased data and increased requirements for security and management of the devices onto the networks, providing critical operational information and potentially transforming data center operations.

IoT will eventually provide data streams between each asset and the data center, allowing those assets to be integrated into new and existing organizational processes, thus, having access to real-time information via IoT devices.

A greater understanding of operational status would allow network administrators to enhance productivity through optimized models, bring more IoT devices into the data center, and incorporate IoT analytics into business planning and processes giving insights into overall business requirements, which ultimately would help predict any fluctuations of operational data. 

With all the benefits of IoT, network administrators and teams are still faced with the sheer volume of devices and the structure of IoT data, showcasing itself in areas such as security, data, storage management, servers, and the data center network. This ultimately means that network administrators need to deploy more aggressive capacity management to align business priorities associated with IoT.

Data center professionals are quickly discovering that IoT consists of a lot of individual devices with their own specifications, but over time, a lack of standardization will become a much bigger problem, as more of our devices seek to communicate with each other and are forced to meet compliance standards to include GDPR.

IoT is growing and IT teams are bearing the brunt of the increased data and concerns generated by IoT, but there is also no denying the potential of IoT to deliver new insights, improve business drivers and operations, and growing services is on the horizon, and having the right infrastructure in your data center to adopt to the changes will remain vital to success.

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What IoT Challenges are Coming to Your Network Teams?

Chris Bihary

Self-driving cars, integrated toys, smart home appliances, and even critical infrastructure have all become part of the ecosystem of Internet of Things (IoT) devices, which begs the concerning question, "How will network administrators process all the data generated?"

IoT has introduced new pathways into data centers because the technology relies on TCP/IP communications that may have a detrimental impact on traffic and, more important, data center security. And while a significant amount of the data that is collected at the edge is managed and manipulated there, eventually the data, in some form, makes its way back to a central location. 

Managing a data centers IoT might appear simple, with many of the devices performing simple processes such as turning lights on or off or perhaps even monitoring temperature. The very simplicity of this challenges larger issues involving security, connectivity, and operational concerns.

As IoT devices are feeding data into data centers, from both internal and external devices, while also introducing new requirements and new types of data, we need to ready for the exponential growth in the market and the astonishing number of IoT devices expected to be nearly triple the planet’s human population by 2020.

With each added device will come increased data and increased requirements for security and management of the devices onto the networks, providing critical operational information and potentially transforming data center operations.

IoT will eventually provide data streams between each asset and the data center, allowing those assets to be integrated into new and existing organizational processes, thus, having access to real-time information via IoT devices.

A greater understanding of operational status would allow network administrators to enhance productivity through optimized models, bring more IoT devices into the data center, and incorporate IoT analytics into business planning and processes giving insights into overall business requirements, which ultimately would help predict any fluctuations of operational data. 

With all the benefits of IoT, network administrators and teams are still faced with the sheer volume of devices and the structure of IoT data, showcasing itself in areas such as security, data, storage management, servers, and the data center network. This ultimately means that network administrators need to deploy more aggressive capacity management to align business priorities associated with IoT.

Data center professionals are quickly discovering that IoT consists of a lot of individual devices with their own specifications, but over time, a lack of standardization will become a much bigger problem, as more of our devices seek to communicate with each other and are forced to meet compliance standards to include GDPR.

IoT is growing and IT teams are bearing the brunt of the increased data and concerns generated by IoT, but there is also no denying the potential of IoT to deliver new insights, improve business drivers and operations, and growing services is on the horizon, and having the right infrastructure in your data center to adopt to the changes will remain vital to success.

Hot Topics

The Latest

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 ...

IT spending is expected to jump nearly 10% in 2025, and organizations are now facing pressure to manage costs without slowing down critical functions like observability. To meet the challenge, leaders are turning to smarter, more cost effective business strategies. Enter stage right: OpenTelemetry, the missing piece of the puzzle that is no longer just an option but rather a strategic advantage ...

Amidst the threat of cyberhacks and data breaches, companies install several security measures to keep their business safely afloat. These measures aim to protect businesses, employees, and crucial data. Yet, employees perceive them as burdensome. Frustrated with complex logins, slow access, and constant security checks, workers decide to completely bypass all security set-ups ...

Image
Cloudbrink's Personal SASE services provide last-mile acceleration and reduction in latency

In MEAN TIME TO INSIGHT Episode 13, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud networking strategy ... 

In high-traffic environments, the sheer volume and unpredictable nature of network incidents can quickly overwhelm even the most skilled teams, hindering their ability to react swiftly and effectively, potentially impacting service availability and overall business performance. This is where closed-loop remediation comes into the picture: an IT management concept designed to address the escalating complexity of modern networks ...

In 2025, enterprise workflows are undergoing a seismic shift. Propelled by breakthroughs in generative AI (GenAI), large language models (LLMs), and natural language processing (NLP), a new paradigm is emerging — agentic AI. This technology is not just automating tasks; it's reimagining how organizations make decisions, engage customers, and operate at scale ...

In the early days of the cloud revolution, business leaders perceived cloud services as a means of sidelining IT organizations. IT was too slow, too expensive, or incapable of supporting new technologies. With a team of developers, line of business managers could deploy new applications and services in the cloud. IT has been fighting to retake control ever since. Today, IT is back in the driver's seat, according to new research by Enterprise Management Associates (EMA) ...

In today's fast-paced and increasingly complex network environments, Network Operations Centers (NOCs) are the backbone of ensuring continuous uptime, smooth service delivery, and rapid issue resolution. However, the challenges faced by NOC teams are only growing. In a recent study, 78% state network complexity has grown significantly over the last few years while 84% regularly learn about network issues from users. It is imperative we adopt a new approach to managing today's network experiences ...

Image
Broadcom

From growing reliance on FinOps teams to the increasing attention on artificial intelligence (AI), and software licensing, the Flexera 2025 State of the Cloud Report digs into how organizations are improving cloud spend efficiency, while tackling the complexities of emerging technologies ...

Today, organizations are generating and processing more data than ever before. From training AI models to running complex analytics, massive datasets have become the backbone of innovation. However, as businesses embrace the cloud for its scalability and flexibility, a new challenge arises: managing the soaring costs of storing and processing this data ...