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Network Automation Enables DevOps Programmability

Shamus McGillicuddy

Nearly 97% of DevOps teams are integrating their orchestration solutions with network automation tools, according to new research from Enterprise Management Associates (EMA).

EMA recently published The Future of Data Center Network Automation, a report based on a survey of 359 enterprises and services providers. The survey explored technology strategies and challenges for automating data center networks.

Integration between data center network automation tools and DevOps tools are nearly universal, but the depth of that integration varies. More than 50% of companies have or plan to have only loose integration between NetOps and DevOps automation, meaning that many NetOps teams are limiting the extent of network programmability that they offer to DevOps.

This conservative approach may mitigate risk, but it could be shortsighted. DevOps groups require agility to achieve their goals. When network engineers limit network programmability, they will inevitably have to respond to a larger number of change tickets from DevOps, leading to human latency in overall operations. Network engineers may maintain more control over how the network operates, but it comes at the expense of agility.

More than 46% of networks teams have or plan to implement tight integration between NetOps and DevOps automation, meaning that they are going to allow DevOps to program most or all aspects of their data center networks. This approach is most popular with best-in-class data center network automation strategies, suggesting that it is a best practice.

Network Automation Strategies are Cloud and DevOps Centric

The typical data center network automation strategy is multi-tool. More than 48% of network teams use two tools for network automation, and 45% use three or more. Quite often, DevOps tools are part of the picture, not just something to be integrated with. More than 42% of network teams use DevOps automation or infrastructure-as-code tools as one of their network automation solutions. DevOps tools are most popular as a network automation solution in companies that have many data centers (11 or more).

Beyond DevOps integration, EMA research found that most companies are thinking about how their data center network automation tools fit into their overall hybrid cloud architecture. Nearly 78% of companies require that their data center network automation tools be extensible to public cloud environments, thus allowing the orchestration of network automation across both data centers and clouds. This requirement is more common among best-in-class companies, against suggesting that it is a best practice.

"The push toward the cloud is one thing that is driving our [data center] network automation," a network automation engineer with a $3 billion retailer told EMA. "With day-to-day operations, we want to be able to provide our new cloud applications with access to resources that are sitting in a data center."

EMA's research is clear. As network engineering teams formulate a plan for data center network automation, DevOps and cloud will be a major factor. If you have a DevOps team, you must be prepared to integrate your network automation solutions with the DevOps toolset. You should also consider how your network automation strategy will be extensible to public cloud environments. And DevOps tools may offer solutions to some of your network automation requirements.

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Network Automation Enables DevOps Programmability

Shamus McGillicuddy

Nearly 97% of DevOps teams are integrating their orchestration solutions with network automation tools, according to new research from Enterprise Management Associates (EMA).

EMA recently published The Future of Data Center Network Automation, a report based on a survey of 359 enterprises and services providers. The survey explored technology strategies and challenges for automating data center networks.

Integration between data center network automation tools and DevOps tools are nearly universal, but the depth of that integration varies. More than 50% of companies have or plan to have only loose integration between NetOps and DevOps automation, meaning that many NetOps teams are limiting the extent of network programmability that they offer to DevOps.

This conservative approach may mitigate risk, but it could be shortsighted. DevOps groups require agility to achieve their goals. When network engineers limit network programmability, they will inevitably have to respond to a larger number of change tickets from DevOps, leading to human latency in overall operations. Network engineers may maintain more control over how the network operates, but it comes at the expense of agility.

More than 46% of networks teams have or plan to implement tight integration between NetOps and DevOps automation, meaning that they are going to allow DevOps to program most or all aspects of their data center networks. This approach is most popular with best-in-class data center network automation strategies, suggesting that it is a best practice.

Network Automation Strategies are Cloud and DevOps Centric

The typical data center network automation strategy is multi-tool. More than 48% of network teams use two tools for network automation, and 45% use three or more. Quite often, DevOps tools are part of the picture, not just something to be integrated with. More than 42% of network teams use DevOps automation or infrastructure-as-code tools as one of their network automation solutions. DevOps tools are most popular as a network automation solution in companies that have many data centers (11 or more).

Beyond DevOps integration, EMA research found that most companies are thinking about how their data center network automation tools fit into their overall hybrid cloud architecture. Nearly 78% of companies require that their data center network automation tools be extensible to public cloud environments, thus allowing the orchestration of network automation across both data centers and clouds. This requirement is more common among best-in-class companies, against suggesting that it is a best practice.

"The push toward the cloud is one thing that is driving our [data center] network automation," a network automation engineer with a $3 billion retailer told EMA. "With day-to-day operations, we want to be able to provide our new cloud applications with access to resources that are sitting in a data center."

EMA's research is clear. As network engineering teams formulate a plan for data center network automation, DevOps and cloud will be a major factor. If you have a DevOps team, you must be prepared to integrate your network automation solutions with the DevOps toolset. You should also consider how your network automation strategy will be extensible to public cloud environments. And DevOps tools may offer solutions to some of your network automation requirements.

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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 ...

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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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