Skip to main content

Why CIOs Need to Care More About Automating Network Operations

Song Pang
NetBrain Technologies

It is a challenging time to be the CIO of a large enterprise. In early January 2023, Salesforce laid off 10% of its staff — the most recent in a string of sizable layoffs among technology companies (many of those who aggressively hired during the height of the Covid-19 pandemic) as they cut operating costs in anticipation of an economic downturn. But as staff and budgets become more tightly scrutinized, and investment strategies become more conservative, IT departments will be asked to be even more proactive and responsive to the IT needs of the business to prevent service disruptions and security breaches, without the traditional linear relationship between infrastructure size and operational overhead.

At the same time, reported network outages globally continue to grow in frequency, duration and fiscal impact. And as migration to the cloud continues at a pace of nearly 5% per year, the amount of control over those cloud-based services typically decreases, which further increases operational risk and the potential for increased costs.

Overall outages were still alarmingly high in 2022 and each outage was getting more expensive

The Uptime Institute's Global Data Center Survey 2022 found that overall outages were still alarmingly high in 2022 and each outage was getting more expensive for those involved. Uptime suggests that more than two-thirds of all disruptions cost them over $100,000 in losses and a quarter of respondents said their most recent outage had cost them over $1 million- a significant increase over 2021. Alarmingly, the migration of IT service to public clouds is only exacerbating the situation since these behemoths are not immune from the outage issue, regularly reporting widespread and long in duration outages that affect hundreds or thousands of their clients which in turn affects millions of users across the globe.

Why are network service disruptions still such an issue?

There are several reasons including rapidly increasing network complexity including cloud-centric virtualized components, limited operational staff with the needed experience and knowledge, no good processes for leveraging knowledge from previous troubleshooting when the same problems reoccur, and most importantly, manual and bespoke network operational processes and approaches that have stagnated for decades. These processes are almost always inconsistent, non-repeatable and focus on individual device health rather than IT service delivery outcomes.

Modern Networks Demand Modern NetOps

Managing growing networks doesn't need to be complex even though the networks themselves are highly advanced. And the cost to manage these growing networks should not increase in a linear fashion either, since SME experience can easily be leveraged through no-code tools. And while the word "automation" may be associated with many IT projects that have come and gone over time with varying levels of success, network automation can now more easily be applied to any modern network to capture and replicate subject matter expertise to produce a high-quality and consistent network service delivery. Applying no-code network automation to the NetOps function allows the same approach to be used to proactively verify operational needs and prevent issues from occurring in the first place.

The first big shift in thinking for CIOs is to renew their focus on the business reasons that the network exists. This will yield a long list of desired outcomes (delivering essential applications running at required levels of performance, maintaining important security policies, etc.) that can be used to create an operational automation strategy. And since the list will be focused on business-aligned outcomes rather than device health, business leaders can incorporate their lists of needs as well.

For instance, the security operations teams may choose to automate the continuous verification of security boundaries to assure the hardware and software in place is always providing the protection it was designed to provide. The unified communication ops teams may also choose to automate the management of the network in the context of Voice-over-IP to assure that the quality of phone calls remains high, regardless of other applications and their use of the same common infrastructure.

4 Benefits of Network Automation

Applying no-code network automation to modern network operations enables:

■ Prevention of service failures long before they impact production. Automation can verify and validate long lists of operational parameters continuously, comparing the real-time observations to known expected behaviors, detecting problems in the making before they affect the bottom line.

■ Automation of preliminary problem diagnostics to make the network engineer's time more productive and speed up root cause determination. This can reduce service disruption duration and remedial costs by 75% or more.

■ Capturing and execution of SME remedial best practices allowing their knowledge to scale across geographies and timezones. Creating a repository of each subject matter expert's knowledge and making it available to be executed by the entire team enables engineers to solve issues that they may not specialize in and would otherwise result in escalations.

■ Accurate network visualization, performance and mapping in real-time. Every aspect of IT service delivery management relies on accurate understanding of the real-time digital infrastructure. Outdated documentation increases risk and costs time and money.

No-code network automation can make modern NetOps dramatically more effective when compared to the widely used and decades-old manual device-health-centric approaches. Automation revolutionizes NetOps with a strategic and forward-looking approach, far beyond the capabilities and scale of existing processes in place today. With the strategic goal to directly support business initiatives, while at the same time reducing risk and the overhead costs, no-code powered network automation becomes transformational. One of our customers recently estimated that no-code network automation reduced their operational servicing costs of their network by more than half, and even more astounding, reduced the duration of service degradations by more than 75%.

I'd urge any CIO or IT Director looking for the means to get in front of the chaos that defines their daily routine, to immediately consider how no-code network automation can be adopted as their strategic plan for the long haul.

Song Pang is SVP of Engineering at NetBrain Technologies

The Latest

Every digital customer interaction, every cloud deployment, and every AI model depends on the same foundation: the ability to see, understand, and act on data in real time ... Recent data from Splunk confirms that 74% of the business leaders believe observability is essential to monitoring critical business processes, and 66% feel it's key to understanding user journeys. Because while the unknown is inevitable, observability makes it manageable. Let's explore why ...

Organizations that perform regular audits and assessments of AI system performance and compliance are over three times more likely to achieve high GenAI value than organizations that do not, according to a survey by Gartner ...

Kubernetes has become the backbone of cloud infrastructure, but it's also one of its biggest cost drivers. Recent research shows that 98% of senior IT leaders say Kubernetes now drives cloud spend, yet 91% still can't optimize it effectively. After years of adoption, most organizations have moved past discovery. They know container sprawl, idle resources and reactive scaling inflate costs. What they don't know is how to fix it ...

Artificial intelligence is no longer a future investment. It's already embedded in how we work — whether through copilots in productivity apps, real-time transcription tools in meetings, or machine learning models fueling analytics and personalization. But while enterprise adoption accelerates, there's one critical area many leaders have yet to examine: Can your network actually support AI at the speed your users expect? ...

The more technology businesses invest in, the more potential attack surfaces they have that can be exploited. Without the right continuity plans in place, the disruptions caused by these attacks can bring operations to a standstill and cause irreparable damage to an organization. It's essential to take the time now to ensure your business has the right tools, processes, and recovery initiatives in place to weather any type of IT disaster that comes up. Here are some effective strategies you can follow to achieve this ...

In today's fast-paced AI landscape, CIOs, IT leaders, and engineers are constantly challenged to manage increasingly complex and interconnected systems. The sheer scale and velocity of data generated by modern infrastructure can be overwhelming, making it difficult to maintain uptime, prevent outages, and create a seamless customer experience. This complexity is magnified by the industry's shift towards agentic AI ...

In MEAN TIME TO INSIGHT Episode 19, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA explains the cause of the AWS outage in October ... 

The explosion of generative AI and machine learning capabilities has fundamentally changed the conversation around cloud migration. It's no longer just about modernization or cost savings — it's about being able to compete in a market where AI is rapidly becoming table stakes. Companies that can't quickly spin up AI workloads, feed models with data at scale, or experiment with new capabilities are falling behind faster than ever before. But here's what I'm seeing: many organizations want to capitalize on AI, but they're stuck ...

On September 16, the world celebrated the 10th annual IT Pro Day, giving companies a chance to laud the professionals who serve as the backbone to almost every successful business across the globe. Despite the growing importance of their roles, many IT pros still work in the background and often go underappreciated ...

Artificial Intelligence (AI) is reshaping observability, and observability is becoming essential for AI. This is a two-way relationship that is increasingly relevant as enterprises scale generative AI ... This dual role makes AI and observability inseparable. In this blog, I cover more details of each side ...

Why CIOs Need to Care More About Automating Network Operations

Song Pang
NetBrain Technologies

It is a challenging time to be the CIO of a large enterprise. In early January 2023, Salesforce laid off 10% of its staff — the most recent in a string of sizable layoffs among technology companies (many of those who aggressively hired during the height of the Covid-19 pandemic) as they cut operating costs in anticipation of an economic downturn. But as staff and budgets become more tightly scrutinized, and investment strategies become more conservative, IT departments will be asked to be even more proactive and responsive to the IT needs of the business to prevent service disruptions and security breaches, without the traditional linear relationship between infrastructure size and operational overhead.

At the same time, reported network outages globally continue to grow in frequency, duration and fiscal impact. And as migration to the cloud continues at a pace of nearly 5% per year, the amount of control over those cloud-based services typically decreases, which further increases operational risk and the potential for increased costs.

Overall outages were still alarmingly high in 2022 and each outage was getting more expensive

The Uptime Institute's Global Data Center Survey 2022 found that overall outages were still alarmingly high in 2022 and each outage was getting more expensive for those involved. Uptime suggests that more than two-thirds of all disruptions cost them over $100,000 in losses and a quarter of respondents said their most recent outage had cost them over $1 million- a significant increase over 2021. Alarmingly, the migration of IT service to public clouds is only exacerbating the situation since these behemoths are not immune from the outage issue, regularly reporting widespread and long in duration outages that affect hundreds or thousands of their clients which in turn affects millions of users across the globe.

Why are network service disruptions still such an issue?

There are several reasons including rapidly increasing network complexity including cloud-centric virtualized components, limited operational staff with the needed experience and knowledge, no good processes for leveraging knowledge from previous troubleshooting when the same problems reoccur, and most importantly, manual and bespoke network operational processes and approaches that have stagnated for decades. These processes are almost always inconsistent, non-repeatable and focus on individual device health rather than IT service delivery outcomes.

Modern Networks Demand Modern NetOps

Managing growing networks doesn't need to be complex even though the networks themselves are highly advanced. And the cost to manage these growing networks should not increase in a linear fashion either, since SME experience can easily be leveraged through no-code tools. And while the word "automation" may be associated with many IT projects that have come and gone over time with varying levels of success, network automation can now more easily be applied to any modern network to capture and replicate subject matter expertise to produce a high-quality and consistent network service delivery. Applying no-code network automation to the NetOps function allows the same approach to be used to proactively verify operational needs and prevent issues from occurring in the first place.

The first big shift in thinking for CIOs is to renew their focus on the business reasons that the network exists. This will yield a long list of desired outcomes (delivering essential applications running at required levels of performance, maintaining important security policies, etc.) that can be used to create an operational automation strategy. And since the list will be focused on business-aligned outcomes rather than device health, business leaders can incorporate their lists of needs as well.

For instance, the security operations teams may choose to automate the continuous verification of security boundaries to assure the hardware and software in place is always providing the protection it was designed to provide. The unified communication ops teams may also choose to automate the management of the network in the context of Voice-over-IP to assure that the quality of phone calls remains high, regardless of other applications and their use of the same common infrastructure.

4 Benefits of Network Automation

Applying no-code network automation to modern network operations enables:

■ Prevention of service failures long before they impact production. Automation can verify and validate long lists of operational parameters continuously, comparing the real-time observations to known expected behaviors, detecting problems in the making before they affect the bottom line.

■ Automation of preliminary problem diagnostics to make the network engineer's time more productive and speed up root cause determination. This can reduce service disruption duration and remedial costs by 75% or more.

■ Capturing and execution of SME remedial best practices allowing their knowledge to scale across geographies and timezones. Creating a repository of each subject matter expert's knowledge and making it available to be executed by the entire team enables engineers to solve issues that they may not specialize in and would otherwise result in escalations.

■ Accurate network visualization, performance and mapping in real-time. Every aspect of IT service delivery management relies on accurate understanding of the real-time digital infrastructure. Outdated documentation increases risk and costs time and money.

No-code network automation can make modern NetOps dramatically more effective when compared to the widely used and decades-old manual device-health-centric approaches. Automation revolutionizes NetOps with a strategic and forward-looking approach, far beyond the capabilities and scale of existing processes in place today. With the strategic goal to directly support business initiatives, while at the same time reducing risk and the overhead costs, no-code powered network automation becomes transformational. One of our customers recently estimated that no-code network automation reduced their operational servicing costs of their network by more than half, and even more astounding, reduced the duration of service degradations by more than 75%.

I'd urge any CIO or IT Director looking for the means to get in front of the chaos that defines their daily routine, to immediately consider how no-code network automation can be adopted as their strategic plan for the long haul.

Song Pang is SVP of Engineering at NetBrain Technologies

The Latest

Every digital customer interaction, every cloud deployment, and every AI model depends on the same foundation: the ability to see, understand, and act on data in real time ... Recent data from Splunk confirms that 74% of the business leaders believe observability is essential to monitoring critical business processes, and 66% feel it's key to understanding user journeys. Because while the unknown is inevitable, observability makes it manageable. Let's explore why ...

Organizations that perform regular audits and assessments of AI system performance and compliance are over three times more likely to achieve high GenAI value than organizations that do not, according to a survey by Gartner ...

Kubernetes has become the backbone of cloud infrastructure, but it's also one of its biggest cost drivers. Recent research shows that 98% of senior IT leaders say Kubernetes now drives cloud spend, yet 91% still can't optimize it effectively. After years of adoption, most organizations have moved past discovery. They know container sprawl, idle resources and reactive scaling inflate costs. What they don't know is how to fix it ...

Artificial intelligence is no longer a future investment. It's already embedded in how we work — whether through copilots in productivity apps, real-time transcription tools in meetings, or machine learning models fueling analytics and personalization. But while enterprise adoption accelerates, there's one critical area many leaders have yet to examine: Can your network actually support AI at the speed your users expect? ...

The more technology businesses invest in, the more potential attack surfaces they have that can be exploited. Without the right continuity plans in place, the disruptions caused by these attacks can bring operations to a standstill and cause irreparable damage to an organization. It's essential to take the time now to ensure your business has the right tools, processes, and recovery initiatives in place to weather any type of IT disaster that comes up. Here are some effective strategies you can follow to achieve this ...

In today's fast-paced AI landscape, CIOs, IT leaders, and engineers are constantly challenged to manage increasingly complex and interconnected systems. The sheer scale and velocity of data generated by modern infrastructure can be overwhelming, making it difficult to maintain uptime, prevent outages, and create a seamless customer experience. This complexity is magnified by the industry's shift towards agentic AI ...

In MEAN TIME TO INSIGHT Episode 19, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA explains the cause of the AWS outage in October ... 

The explosion of generative AI and machine learning capabilities has fundamentally changed the conversation around cloud migration. It's no longer just about modernization or cost savings — it's about being able to compete in a market where AI is rapidly becoming table stakes. Companies that can't quickly spin up AI workloads, feed models with data at scale, or experiment with new capabilities are falling behind faster than ever before. But here's what I'm seeing: many organizations want to capitalize on AI, but they're stuck ...

On September 16, the world celebrated the 10th annual IT Pro Day, giving companies a chance to laud the professionals who serve as the backbone to almost every successful business across the globe. Despite the growing importance of their roles, many IT pros still work in the background and often go underappreciated ...

Artificial Intelligence (AI) is reshaping observability, and observability is becoming essential for AI. This is a two-way relationship that is increasingly relevant as enterprises scale generative AI ... This dual role makes AI and observability inseparable. In this blog, I cover more details of each side ...