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5 Misconceptions About Network Automation Platforms (and why they should be re-thought)

Song Pang
NetBrain Technologies

As enterprise networks get more complex, encompassing on-prem, cloud and hybrid systems and applications, network automation is no longer optional. It's critical for uptime, security and scale. Yet persistent misconceptions about increasingly capable network automation platforms among the very NetOps professionals who would benefit the most from using them are holding back adoption. Here are 5 of the most common of those misconceptions, and why NetOps teams might want to re-think them.

Misconception 1: DIY scripting gives me more control than a platform

Network engineers love their own scripts and tools. According to recent research by the analyst firm EMA, 64% of enterprises still rely on homegrown scripts or open source tools. Many NetOps professionals believe that their time-worn DIY approach provides greater flexibility and customization than any platform can offer.

But the downside of relying on scripts is that it also creates silos, introduces gatekeeper effects and increases fragility. It's also a lot of work. According to EMA, more than 60% of teams spend more than 6 hours per week maintaining and debugging scripts and tools. The hodgepodge of scripts and tools creates complexity, often lacks documentation and can introduce security risks.

The reality is that modern network automation platforms don't take away control, they operationalize it by centralizing, securing, and making automation reusable across teams. Platforms are now designed to onboard existing scripts, extend them, and make them shareable. That provides control at scale.

Misconception 2: Automation is a risk to my job

Automation platforms, especially in the AI era, can sometimes be perceived as a threat to the livelihood of network professionals.

But rather than reduce their value, network operations platforms free NetOps teams from low-level toil and firefighting (think config pushes and compliance scans). That leaves them with more time to focus on higher priority tasks and projects like network design, security posture, and cross-team initiatives. And with their low code/no code capabilities, network automation platforms can broaden access beyond scripting gatekeepers and create a career path for other professionals.

In an environment where many NetOps teams are being asked to do more with less, automation expands NetOps influence, future-proofs careers, and reduces burnout.

Misconception 3: An automation platform won't save me time because it's not reliable

In addition to their concerns about control, many NetOps teams rely on scripts and open source tools because they simply don't trust network automation platforms. They believe them to be fragile, error-prone, and more hassle than help.

But, as noted above, teams can spend anywhere from 6-10 hours per week debugging scripts, according to EMA. So, those unsupported scripts and code-heavy tools are not themselves inherently reliable.

Network automation platforms, by contrast, provide testing, dashboards, CI/CD principles, and role-based access. reducing error risk and improving consistency. For common tasks like automating config changes, onboarding, compliance scans, and firmware updates, network automation platforms are faster and more accurate than a human-driven scripting process.

Misconception 4: Network automation platforms are too costly and the ROI isn't clear

The cost of a network automation platform can seem high when judged against free homemade scripts or open source tools. But NetOps teams often struggle to quantify the hidden costs of DIY solutions. Whether it's time lost to debugging, finding and fixing security risks, the opportunity cost of having highly skilled professionals performing routine tasks, or, in the worst case scenario, network downtime, the DIY approach is anything but free.

Network automation platforms deliver real and quantifiable ROI. Platforms provide 24x7 automation that no human can match. They offer dashboards that can accurately track time saved and enhance cross-team visibility. And, most importantly, they ultimately justify their cost by reducing downtime.

The ROI of network automation platforms over DIY solutions becomes much clearer when measured in operational risk reduction, uptime, and freeing talent for strategic projects.

Misconception 5: It's just another hard-to-learn tool I'll have to manage

Tool sprawl is a real issue for NetOps teams. So it's understandable that they'd be reluctant to learn and manage yet another application.

But when you dig deeper, it turns out that what most (64% according to EMA) network professionals value are tools that are easy to use, with low code/no code capabilities that flatten the learning curve for both deeply experienced and less experienced engineers. And that's what modern network automation platforms offer. Layer on features like auto-discovery, pre-built network assessments, drag-and-drop workflows, and script onboarding and the time to value from a network automation platform for NetOps teams is fairly short. Modern platforms also integrate with IT service management (ITSM), IPAM and Git rather than replacing them, so NetOps teams can continue to use the workflows they've built.

In short, network automation platforms don't make things harder and more complex for NetOps teams. They simplify environments by consolidating fragmented DIY efforts into one system that both coders and non-coders can use.

It's time to re-think DIY

Network operations teams can be understandably reluctant to switch from the scripts and tools they've built on their own to a network automation platform. After all, ensuring the reliability and integrity of their organization's network is a business critical responsibility. Yet it only takes a bit of digging before the inefficiencies and risks of the DIY approach become apparent, especially at enterprise scale. Network automation platforms have become much more capable in recent years, providing a degree of flexibility and control that might surprise NetOps teams. NetOps leaders who might be hesitant to take the plunge can start with a hybrid approach, onboarding existing scripts into platforms before scaling with low-code/no code workflows. The benefits — in terms of reduced toil, improved reliability, better visibility and better utilization of talent and resources — are well worth the effort. 

Song Pang is CTO at NetBrain Technologies

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5 Misconceptions About Network Automation Platforms (and why they should be re-thought)

Song Pang
NetBrain Technologies

As enterprise networks get more complex, encompassing on-prem, cloud and hybrid systems and applications, network automation is no longer optional. It's critical for uptime, security and scale. Yet persistent misconceptions about increasingly capable network automation platforms among the very NetOps professionals who would benefit the most from using them are holding back adoption. Here are 5 of the most common of those misconceptions, and why NetOps teams might want to re-think them.

Misconception 1: DIY scripting gives me more control than a platform

Network engineers love their own scripts and tools. According to recent research by the analyst firm EMA, 64% of enterprises still rely on homegrown scripts or open source tools. Many NetOps professionals believe that their time-worn DIY approach provides greater flexibility and customization than any platform can offer.

But the downside of relying on scripts is that it also creates silos, introduces gatekeeper effects and increases fragility. It's also a lot of work. According to EMA, more than 60% of teams spend more than 6 hours per week maintaining and debugging scripts and tools. The hodgepodge of scripts and tools creates complexity, often lacks documentation and can introduce security risks.

The reality is that modern network automation platforms don't take away control, they operationalize it by centralizing, securing, and making automation reusable across teams. Platforms are now designed to onboard existing scripts, extend them, and make them shareable. That provides control at scale.

Misconception 2: Automation is a risk to my job

Automation platforms, especially in the AI era, can sometimes be perceived as a threat to the livelihood of network professionals.

But rather than reduce their value, network operations platforms free NetOps teams from low-level toil and firefighting (think config pushes and compliance scans). That leaves them with more time to focus on higher priority tasks and projects like network design, security posture, and cross-team initiatives. And with their low code/no code capabilities, network automation platforms can broaden access beyond scripting gatekeepers and create a career path for other professionals.

In an environment where many NetOps teams are being asked to do more with less, automation expands NetOps influence, future-proofs careers, and reduces burnout.

Misconception 3: An automation platform won't save me time because it's not reliable

In addition to their concerns about control, many NetOps teams rely on scripts and open source tools because they simply don't trust network automation platforms. They believe them to be fragile, error-prone, and more hassle than help.

But, as noted above, teams can spend anywhere from 6-10 hours per week debugging scripts, according to EMA. So, those unsupported scripts and code-heavy tools are not themselves inherently reliable.

Network automation platforms, by contrast, provide testing, dashboards, CI/CD principles, and role-based access. reducing error risk and improving consistency. For common tasks like automating config changes, onboarding, compliance scans, and firmware updates, network automation platforms are faster and more accurate than a human-driven scripting process.

Misconception 4: Network automation platforms are too costly and the ROI isn't clear

The cost of a network automation platform can seem high when judged against free homemade scripts or open source tools. But NetOps teams often struggle to quantify the hidden costs of DIY solutions. Whether it's time lost to debugging, finding and fixing security risks, the opportunity cost of having highly skilled professionals performing routine tasks, or, in the worst case scenario, network downtime, the DIY approach is anything but free.

Network automation platforms deliver real and quantifiable ROI. Platforms provide 24x7 automation that no human can match. They offer dashboards that can accurately track time saved and enhance cross-team visibility. And, most importantly, they ultimately justify their cost by reducing downtime.

The ROI of network automation platforms over DIY solutions becomes much clearer when measured in operational risk reduction, uptime, and freeing talent for strategic projects.

Misconception 5: It's just another hard-to-learn tool I'll have to manage

Tool sprawl is a real issue for NetOps teams. So it's understandable that they'd be reluctant to learn and manage yet another application.

But when you dig deeper, it turns out that what most (64% according to EMA) network professionals value are tools that are easy to use, with low code/no code capabilities that flatten the learning curve for both deeply experienced and less experienced engineers. And that's what modern network automation platforms offer. Layer on features like auto-discovery, pre-built network assessments, drag-and-drop workflows, and script onboarding and the time to value from a network automation platform for NetOps teams is fairly short. Modern platforms also integrate with IT service management (ITSM), IPAM and Git rather than replacing them, so NetOps teams can continue to use the workflows they've built.

In short, network automation platforms don't make things harder and more complex for NetOps teams. They simplify environments by consolidating fragmented DIY efforts into one system that both coders and non-coders can use.

It's time to re-think DIY

Network operations teams can be understandably reluctant to switch from the scripts and tools they've built on their own to a network automation platform. After all, ensuring the reliability and integrity of their organization's network is a business critical responsibility. Yet it only takes a bit of digging before the inefficiencies and risks of the DIY approach become apparent, especially at enterprise scale. Network automation platforms have become much more capable in recent years, providing a degree of flexibility and control that might surprise NetOps teams. NetOps leaders who might be hesitant to take the plunge can start with a hybrid approach, onboarding existing scripts into platforms before scaling with low-code/no code workflows. The benefits — in terms of reduced toil, improved reliability, better visibility and better utilization of talent and resources — are well worth the effort. 

Song Pang is CTO at NetBrain Technologies

Hot Topics

The Latest

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 ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...

When most people think about cybersecurity, they picture firewalls, encryption, and access controls — technical tools designed to protect systems and data. But beneath the technology lies a deeper set of principles about trust, decision-making, and resilience ... The best leaders don't eliminate risk. They manage it intelligently. And in many ways, cybersecurity offers a surprisingly useful playbook for doing exactly that ...