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Challenges Facing Today's Network Engineers

Jason Baudreau

In today's everchanging IT industry, network engineers face a slew of challenges when it comes to network management. As networks continue to grow and become more complex, many IT professionals struggle to get a grasp on key workflows in which network engineers still rely on manual processes, including network documentation, troubleshooting, change management and cybersecurity.

In April 2017, NetBrain Technologies conducted a survey of more than 200 network engineers, network architects, and IT managers to explore specific challenges facing today's network teams. The findings of the survey were recently released in a report entitled: 2017 State of the Network Engineer: Toward an Automated Future.

Here are some highlights from the survey findings:

Growing Network Size and Complexity is Driving the Need for Automation

Networks are growing, and they are growing fast. Organizations are seeing a significant increase their network devices and applications within the networks. In fact, 83 percent of survey participants indicated that the size of their networks has increased within the past year. Networks are also becoming increasingly more complex. 49 percent of enterprises with over 1,000 employees have more than 1,000 network devices, while 21 percent have more than 10,000 network devices.

With this rapid network evolution, compounded with complex IT initiatives like network security, private/public cloud computing, and software-defined networking, network engineers are forced to consistently adapt accordingly and bring new skills to the table. For instance, 53 percent of network engineers stated they are required to know programming (beyond just scripting) for their jobs, while 30 percent said that they will invest in network automation capabilities in the next 12 to 24 months.

Accurate Network Documentation Remains Elusive

Today, 87 percent of respondents primarily rely on manual processes to create their network diagrams. Documentation is one of the network engineer's most important workflows, and taking on this critical task manually, simply doesn't stack up. For instance, 49 percent of respondents cited the length of time it takes to create network diagrams as a primary challenge, while 33 percent said it would take more than one month to document their entire network manually.

In addition to the amount of time spent on documentation, obsolescence was also cited as a major obstacle. 58 percent of network engineers said that network diagrams become outdated as soon as the network changes. In other words, by the time the network is fully mapped out, the network has already changed and therefore the diagram is essentially useless. This is particularly problematic when it comes to areas like compliance reporting or having full network visibility when diagnosing an outage.


Manual Troubleshooting is Contributing to Longer Network Downtimes

As networks continue to grow, manual methods will continue to challenge engineers when it comes to troubleshooting. For instance, 33 percent of organizations said that they experience multiple network degradations every day, with 10 percent indicating that they experience multiple issues every single hour. Whether it's a slow application or jittery VoIP connection, 43 percent of network engineers said that using command-line interface (CLI) simply takes too long, while 40 percent also indicated it would take more than four hours to resolve a typical network problem. The need to keep network availability high and reduce mean time to repair is business critical, and the longer it takes to isolate and diagnose a network problem, the costlier the impact of that degradation to the enterprise.


Continuously Securing the Network is a Top Priority

Another challenge associated with the growth of networks is the increased vulnerability to cyberattacks. Often, engineers may not have full visibility into what's going on in their networks, which results in the lack of necessary knowledge to effectively mitigate security risks.

Survey data showed network security was the number one project for 64 percent of respondents, who said they plan to invest in security within the next 12 to 24 months. Nearly 50 percent of respondents cited the inability to continuously monitor and mitigate attacks — without human intervention — as a significant issue and 57 percent of respondents cited an inability to isolate the area of the network where an attack is happening. Clearly, networks have become far too vast for network engineers to be able to manually mitigate risk.

Knowledge and Collaboration Gaps Continue to be Barriers in Most Enterprises

Many organizations rely on "tribal" knowledge to manage network problems. This could mean relying on a network engineer's mental picture to create a network diagram or going to the IT expert to troubleshoot advanced configurations. This leaves the ability to solve issues with just a select number of individuals and in turn, slows down processes. 33 percent of survey respondents stated this overreliance as a key obstacle.

Additionally, 45 percent of network engineers surveyed cited a lack of collaboration as the number one challenge for more effective troubleshooting, particularly when tasks involve multiple engineers in the network operations center or multiple IT groups (e.g., network, security, and application teams). Also, 36 percent of respondents felt that the lack of coordination was creating systematic issues for them when attempting to design and execute network changes.

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Challenges Facing Today's Network Engineers

Jason Baudreau

In today's everchanging IT industry, network engineers face a slew of challenges when it comes to network management. As networks continue to grow and become more complex, many IT professionals struggle to get a grasp on key workflows in which network engineers still rely on manual processes, including network documentation, troubleshooting, change management and cybersecurity.

In April 2017, NetBrain Technologies conducted a survey of more than 200 network engineers, network architects, and IT managers to explore specific challenges facing today's network teams. The findings of the survey were recently released in a report entitled: 2017 State of the Network Engineer: Toward an Automated Future.

Here are some highlights from the survey findings:

Growing Network Size and Complexity is Driving the Need for Automation

Networks are growing, and they are growing fast. Organizations are seeing a significant increase their network devices and applications within the networks. In fact, 83 percent of survey participants indicated that the size of their networks has increased within the past year. Networks are also becoming increasingly more complex. 49 percent of enterprises with over 1,000 employees have more than 1,000 network devices, while 21 percent have more than 10,000 network devices.

With this rapid network evolution, compounded with complex IT initiatives like network security, private/public cloud computing, and software-defined networking, network engineers are forced to consistently adapt accordingly and bring new skills to the table. For instance, 53 percent of network engineers stated they are required to know programming (beyond just scripting) for their jobs, while 30 percent said that they will invest in network automation capabilities in the next 12 to 24 months.

Accurate Network Documentation Remains Elusive

Today, 87 percent of respondents primarily rely on manual processes to create their network diagrams. Documentation is one of the network engineer's most important workflows, and taking on this critical task manually, simply doesn't stack up. For instance, 49 percent of respondents cited the length of time it takes to create network diagrams as a primary challenge, while 33 percent said it would take more than one month to document their entire network manually.

In addition to the amount of time spent on documentation, obsolescence was also cited as a major obstacle. 58 percent of network engineers said that network diagrams become outdated as soon as the network changes. In other words, by the time the network is fully mapped out, the network has already changed and therefore the diagram is essentially useless. This is particularly problematic when it comes to areas like compliance reporting or having full network visibility when diagnosing an outage.


Manual Troubleshooting is Contributing to Longer Network Downtimes

As networks continue to grow, manual methods will continue to challenge engineers when it comes to troubleshooting. For instance, 33 percent of organizations said that they experience multiple network degradations every day, with 10 percent indicating that they experience multiple issues every single hour. Whether it's a slow application or jittery VoIP connection, 43 percent of network engineers said that using command-line interface (CLI) simply takes too long, while 40 percent also indicated it would take more than four hours to resolve a typical network problem. The need to keep network availability high and reduce mean time to repair is business critical, and the longer it takes to isolate and diagnose a network problem, the costlier the impact of that degradation to the enterprise.


Continuously Securing the Network is a Top Priority

Another challenge associated with the growth of networks is the increased vulnerability to cyberattacks. Often, engineers may not have full visibility into what's going on in their networks, which results in the lack of necessary knowledge to effectively mitigate security risks.

Survey data showed network security was the number one project for 64 percent of respondents, who said they plan to invest in security within the next 12 to 24 months. Nearly 50 percent of respondents cited the inability to continuously monitor and mitigate attacks — without human intervention — as a significant issue and 57 percent of respondents cited an inability to isolate the area of the network where an attack is happening. Clearly, networks have become far too vast for network engineers to be able to manually mitigate risk.

Knowledge and Collaboration Gaps Continue to be Barriers in Most Enterprises

Many organizations rely on "tribal" knowledge to manage network problems. This could mean relying on a network engineer's mental picture to create a network diagram or going to the IT expert to troubleshoot advanced configurations. This leaves the ability to solve issues with just a select number of individuals and in turn, slows down processes. 33 percent of survey respondents stated this overreliance as a key obstacle.

Additionally, 45 percent of network engineers surveyed cited a lack of collaboration as the number one challenge for more effective troubleshooting, particularly when tasks involve multiple engineers in the network operations center or multiple IT groups (e.g., network, security, and application teams). Also, 36 percent of respondents felt that the lack of coordination was creating systematic issues for them when attempting to design and execute network changes.

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The enterprises that will define the next decade are not the ones that deployed the most technology. They are the ones who understood what their technology was actually doing. That distinction is not a philosophical point. It is the central operational challenge facing every organization that has spent the last five years modernizing at speed ...

AI is becoming the operating system of the enterprise. It acts as an invisible coordination layer that understands intent, connects systems, and executes work across complex SaaS environments. Previously, employees had to click through multiple systems — CRM, ERP, support tools, collaboration platforms — to complete a single task. Now, instead of navigating each application manually, they can simply state what they need to accomplish ...

In 2026, the cost of downtime or an outage is no longer just a technical inconvenience; it's a $600 billion wake up call for global businesses. As our digital ecosystems become  more interconnected, each touchpoint introduces new risks and multiplies the consequences when things go wrong. And the data is clear: aggregate downtime costs  for Global 2,000 companies have surged 50% since 2024, reaching a staggering $600 billion ...

Deloitte found that 74% of enterprises expect to deploy agentic AI solutions in the next 24 months. However, the rush to deployment is outpacing foundational work, though. Only 21% of enterprises have fully formed agent governance models in place. The result? AI agents deployed without guidance or governance begin to function as fragmented islands of complexity ...

Cloud spending is no longer viewed as a passthrough IT expense, but as a strategic financial lever that directly impacts innovation capacity, profitability and enterprise resilience, according to the CFO Cloud Cost Optimization Report from Azul ...

As AI moves from generating responses to performing actions, the need for trust increases exponentially. And as organizations enlist AI agents for increasingly sophisticated business processes, trust is going to be the single most important theme for spurring adoption. What can organizations do to build trustworthy AI agents? ...

I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...