What IoT Challenges are Coming to Your Network Teams?
May 30, 2018

Chris Bihary
Garland Technology

Share this

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.

Chris Bihary is CEO and Co-Founder of Garland Technology
Share this

The Latest

September 23, 2021

The Internet played a greater role than ever in supporting enterprise productivity over the past year-plus, as newly remote workers logged onto the job via residential links that, it turns out, left much to be desired in terms of enabling work ...

September 22, 2021

The world's appetite for cloud services has increased but now, more than 18 months since the beginning of the pandemic, organizations are assessing their cloud spend and trying to better understand the IT investments that were made under pressure. This is a huge challenge in and of itself, with the added complexity of embracing hybrid work ...

September 21, 2021

After a year of unprecedented challenges and change, tech pros responding to this year’s survey, IT Pro Day 2021 survey: Bring IT On from SolarWinds, report a positive perception of their roles and say they look forward to what lies ahead ...

September 20, 2021

One of the key performance indicators for IT Ops is MTTR (Mean-Time-To-Resolution). MTTR essentially measures the length of your incident management lifecycle: from detection; through assignment, triage and investigation; to remediation and resolution. IT Ops teams strive to shorten their incident management lifecycle and lower their MTTR, to meet their SLAs and maintain healthy infrastructures and services. But that's often easier said than done, with incident triage being a key factor in that challenge ...

September 16, 2021

Achieve more with less. How many of you feel that pressure — or, even worse, hear those words — trickle down from leadership? The reality is that overworked and under-resourced IT departments will only lead to chronic errors, missed deadlines and service assurance failures. After all, we're only human. So what are overburdened IT departments to do? Reduce the human factor. In a word: automate ...

September 15, 2021

On average, data innovators release twice as many products and increase employee productivity at double the rate of organizations with less mature data strategies, according to the State of Data Innovation report from Splunk ...

September 14, 2021

While 90% of respondents believe observability is important and strategic to their business — and 94% believe it to be strategic to their role — just 26% noted mature observability practices within their business, according to the 2021 Observability Forecast ...

September 13, 2021

Let's explore a few of the most prominent app success indicators and how app engineers can shift their development strategy to better meet the needs of today's app users ...

September 09, 2021

Business enterprises aiming at digital transformation or IT companies developing new software applications face challenges in developing eye-catching, robust, fast-loading, mobile-friendly, content-rich, and user-friendly software. However, with increased pressure to reduce costs and save time, business enterprises often give a short shrift to performance testing services ...

September 08, 2021

DevOps, SRE and other operations teams use observability solutions with AIOps to ingest and normalize data to get visibility into tech stacks from a centralized system, reduce noise and understand the data's context for quicker mean time to recovery (MTTR). With AI using these processes to produce actionable insights, teams are free to spend more time innovating and providing superior service assurance. Let's explore AI's role in ingestion and normalization, and then dive into correlation and deduplication too ...