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Why Are NetOps Teams Struggling to Deliver on Their Network Automation Strategy?

Song Pang
NetBrain Technologies

Network automation remains a top challenge for enterprise IT departments. Despite years of effort from vendors and IT professionals to develop tools to reduce manual network management, results have been mixed. A recent report by Enterprise Management Associates (EMA) reveals that nearly 95% of organizations use a combination of do-it-yourself (DIY) and vendor solutions for network automation, yet only 28% believe they have successfully implemented their automation strategy.

Why is this mixed approach so popular if many engineers feel that their overall program is not successful?

The short answer is that each type of automation has different advantages and weaknesses. DIY automation, which involves engineers writing their own scripts for specific tasks or using open-source tools like Ansible, offers customization and cost-effectiveness but is hard to manage and scale, and relies almost completely on individual engineer's skillsets. On the other hand, commercial network automation products are often expensive, but provide stability and scalability and are easier to use.

So, where's the disconnect?

Why are NetOps teams struggling to deliver on their network automation strategy?

Should teams go all in on either a DIY or vendor solution?

Let's take a closer look.

First, a quick note — a successful network automation strategy depends on many factors, for the sake of time today we will focus on DIY vs. vendor solutions and related issues.

Benefits of DIY:

Capabilities align with the organization's specific network. With homegrown solutions, tools are tailor-made to fit the unique needs of a network environment. Vendor solutions can't ever be that customized. For organizations with unusual network architectures, this can be important.

Security and compliance requirements. DIY solutions can be designed to follow the particular security and compliance requirements for the business, such as GDPR, HIPAA, and PCI-DSS.

Cost savings. With DIY tools, you get exactly what you need for little to no cost (other than your engineer's time). When this works well, it means better operational efficiency, and complex processes are more streamlined.

Benefits of Using Vendor Solutions:

Scale. Vendor solutions are built to cover an entire network, handle large data loads, and integrate with other tools and data sources.

Security and compliance requirements. Hey wait a second, wasn't this one of the key drivers for using DIY? Yes, but it's a benefit here as well. Vendor products often come already compliant with certain security standards where making a DIY tool compliant would take too much work. Network teams often manage complex environments using commercial tools for particular needs and DIY tools for other tasks.

Platform requirements. Commercial solutions are more scalable and stable than DIY tools. While a homegrown automation solution might handle a few dozen changes really well, it will likely struggle to scale to thousands of changes.

Breadth of functionality. Vendor tools generally provide a broader range of features than DIY solutions, often addressing multiple issues from the get-go.

Despite all the benefits, each solution has its drawbacks. DIY solutions often struggle to scale up larger than the initial scenario they were written for, and it will take much more time and work to do this manually. They can also be slower than commercial tools and will lack multi-vendor support (unless the creator builds it). You also need network engineers who know enough scripting to write and manage these tools. If you don't have anyone with that skillset (or they leave the company), you're out of luck.

Drawbacks for vendor solutions include high upfront costs, lack of customization, and the training expenses associated with learning a new system. Cost and budget matters; the EMA report found a strong correlation between network automation success and significant budget investments. 80% of entirely successful organizations had well-funded projects, compared to only 57% of partially successful and 29% of partially failed organizations.

Many organizations are ultimately using each type of automation where it's needed. Rather than picking one, they're using both. Commercial network automation products have room for improvement, particularly in their customizability. The more they can adapt to fit each unique customer network, the more useful they will be. But the products aren't the real problem. The more important roadblocks I see (that are keeping the percentage of successful automation programs so low) are IT leadership problems. This includes difficulties gaining buy-in, establishing direction and ensuring commitment, as well as skill gaps, staff turnover and budget constraints.

Looking ahead, the future of automation involves an ecosystem of tools and products that must integrate seamlessly to create an effective solution for each unique environment. Organizations must maintain a repository of network intent and network state data to ensure adherence to design standards and security policies.

Song Pang is SVP of Engineering at NetBrain Technologies

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Why Are NetOps Teams Struggling to Deliver on Their Network Automation Strategy?

Song Pang
NetBrain Technologies

Network automation remains a top challenge for enterprise IT departments. Despite years of effort from vendors and IT professionals to develop tools to reduce manual network management, results have been mixed. A recent report by Enterprise Management Associates (EMA) reveals that nearly 95% of organizations use a combination of do-it-yourself (DIY) and vendor solutions for network automation, yet only 28% believe they have successfully implemented their automation strategy.

Why is this mixed approach so popular if many engineers feel that their overall program is not successful?

The short answer is that each type of automation has different advantages and weaknesses. DIY automation, which involves engineers writing their own scripts for specific tasks or using open-source tools like Ansible, offers customization and cost-effectiveness but is hard to manage and scale, and relies almost completely on individual engineer's skillsets. On the other hand, commercial network automation products are often expensive, but provide stability and scalability and are easier to use.

So, where's the disconnect?

Why are NetOps teams struggling to deliver on their network automation strategy?

Should teams go all in on either a DIY or vendor solution?

Let's take a closer look.

First, a quick note — a successful network automation strategy depends on many factors, for the sake of time today we will focus on DIY vs. vendor solutions and related issues.

Benefits of DIY:

Capabilities align with the organization's specific network. With homegrown solutions, tools are tailor-made to fit the unique needs of a network environment. Vendor solutions can't ever be that customized. For organizations with unusual network architectures, this can be important.

Security and compliance requirements. DIY solutions can be designed to follow the particular security and compliance requirements for the business, such as GDPR, HIPAA, and PCI-DSS.

Cost savings. With DIY tools, you get exactly what you need for little to no cost (other than your engineer's time). When this works well, it means better operational efficiency, and complex processes are more streamlined.

Benefits of Using Vendor Solutions:

Scale. Vendor solutions are built to cover an entire network, handle large data loads, and integrate with other tools and data sources.

Security and compliance requirements. Hey wait a second, wasn't this one of the key drivers for using DIY? Yes, but it's a benefit here as well. Vendor products often come already compliant with certain security standards where making a DIY tool compliant would take too much work. Network teams often manage complex environments using commercial tools for particular needs and DIY tools for other tasks.

Platform requirements. Commercial solutions are more scalable and stable than DIY tools. While a homegrown automation solution might handle a few dozen changes really well, it will likely struggle to scale to thousands of changes.

Breadth of functionality. Vendor tools generally provide a broader range of features than DIY solutions, often addressing multiple issues from the get-go.

Despite all the benefits, each solution has its drawbacks. DIY solutions often struggle to scale up larger than the initial scenario they were written for, and it will take much more time and work to do this manually. They can also be slower than commercial tools and will lack multi-vendor support (unless the creator builds it). You also need network engineers who know enough scripting to write and manage these tools. If you don't have anyone with that skillset (or they leave the company), you're out of luck.

Drawbacks for vendor solutions include high upfront costs, lack of customization, and the training expenses associated with learning a new system. Cost and budget matters; the EMA report found a strong correlation between network automation success and significant budget investments. 80% of entirely successful organizations had well-funded projects, compared to only 57% of partially successful and 29% of partially failed organizations.

Many organizations are ultimately using each type of automation where it's needed. Rather than picking one, they're using both. Commercial network automation products have room for improvement, particularly in their customizability. The more they can adapt to fit each unique customer network, the more useful they will be. But the products aren't the real problem. The more important roadblocks I see (that are keeping the percentage of successful automation programs so low) are IT leadership problems. This includes difficulties gaining buy-in, establishing direction and ensuring commitment, as well as skill gaps, staff turnover and budget constraints.

Looking ahead, the future of automation involves an ecosystem of tools and products that must integrate seamlessly to create an effective solution for each unique environment. Organizations must maintain a repository of network intent and network state data to ensure adherence to design standards and security policies.

Song Pang is SVP of Engineering at NetBrain Technologies

Hot Topics

The Latest

Payment system failures are putting $44.4 billion in US retail and hospitality sales at risk each year, underscoring how quickly disruption can derail day-to-day trading, according to research conducted by Dynatrace ... The findings show that payment failures are no longer isolated incidents, but part of a recurring operational challenge that disrupts service, damages customer trust, and negatively impacts revenue ...

For years, the success of DevOps has been measured by how much manual work teams can automate ... I believe that in 2026, the definition of DevOps success is going to expand significantly. The era of automation is giving way to the era of intelligent delivery, in which AI doesn't just accelerate pipelines, it understands them. With open observability connecting signals end-to-end across those tools, teams can build closed-loop systems that don't just move faster, but learn, adapt, and take action autonomously with confidence ...

The conversation around AI in the enterprise has officially shifted from "if" to "how fast." But according to the State of Network Operations 2026 report from Broadcom, most organizations are unknowingly building their AI strategies on sand. The data is clear: CIOs and network teams are putting the cart before the horse. AI cannot improve what the network cannot see, predict issues without historical context, automate processes that aren't standardized, or recommend fixes when the underlying telemetry is incomplete. If AI is the brain, then network observability is the nervous system that makes intelligent action possible ...

SolarWinds data shows that one in three DBAs are contemplating leaving their positions — a striking indicator of workforce pressure in this role. This is likely due to the technical and interpersonal frustrations plaguing today's DBAs. Hybrid IT environments provide widespread organizational benefits but also present growing complexity. Simultaneously, AI presents a paradox of benefits and pain points ...

Over the last year, we've seen enterprises stop treating AI as “special projects.” It is no longer confined to pilots or side experiments. AI is now embedded in production, shaping decisions, powering new business models, and changing how employees and customers experience work every day. So, the debate of "should we adopt AI" is settled. The real question is how quickly and how deeply it can be applied ...

In MEAN TIME TO INSIGHT Episode 20, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA presents his 2026 NetOps predictions ... 

Today, technology buyers don't suffer from a lack of information but an abundance of it. They need a trusted partner to help them navigate this information environment ...

My latest title for O'Reilly, The Rise of Logical Data Management, was an eye-opener for me. I'd never heard of "logical data management," even though it's been around for several years, but it makes some extraordinary promises, like the ability to manage data without having to first move it into a consolidated repository, which changes everything. Now, with the demands of AI and other modern use cases, logical data management is on the rise, so it's "new" to many. Here, I'd like to introduce you to it and explain how it works ...

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