Network Management Megatrends 2022

Shamus McGillicuddy

Network operations teams are trying to establish partnerships with DevOps teams, but the process isn't easy.

The DevOps team tends to focus on the deployment and quality of applications while the network operations team focuses on network monitoring and management. While the two groups have different priorities, they see opportunities to help each other.

In its recently published Network Management Megatrends 2022 research report, Enterprise Management Associates (EMA) found that 93% of companies with a DevOps group have aligned or plan to align it closely with their network operations group. In fact, 38% expect these two groups to merge into a single unit. Another 55% expect them to establish formalized partnerships with deep collaboration.

"Our network monitoring team has team members who attend all DevOps meetings," said an IT operations manager for one of the world's largest government agencies. "It's going okay. The network monitoring team is always hammering the DevOps team, telling them they need to set up more monitoring. It goes over to varying degrees of success. DevOps always says, ‘We have customers to deal with. This can wait.' It's not at the top of their list."

Collaboration Opportunities for NetOps and DevOps

EMA's Megatrends report, based on a survey of 409 IT professionals, found three important areas of collaboration for network and DevOps groups.

1. Security policy design/implementation (51%). Network operations professionals have often told EMA that they find DevOps and CloudOps professionals to be less sophisticated with security policies. This leads to vulnerabilities and compliance violations that undermine application rollouts. A strong partnership allows the network operations team to bring its security expertise to the table and set up DevOps for success.

2. Application optimization/fail-fast iteration (42%). DevOps teams often optimize applications through a fail-fast approach, which encourages rapid iterations of application deployments where failure is expected and used as an opportunity to improve overall application design. This process requires good observability capabilities. It can also have significant impact on the network. One network engineer once told me that his DevOps team rolled out an application that was initially so inefficient in how it maintained a cache of directory information that it brought down the network every morning. He had to use packet analysis to get to the root of the problem. On the bright side, his discovery of the problem helped the DevOps team to optimize the application.

3. Network capacity planning (41%). Network operations teams need to know how the network will be used in the future to optimize network capacity. They usually do this by analyzing trends in their network monitoring tools. However, a closer relationship with DevOps could provide them more insight into how a company's application portfolio is going to evolve over time.

EMA's research found secondary interest in collaboration around application planning and design (36%) and operational monitoring (36%). Members of DevOps teams in EMA's survey were especially interested in monitoring collaboration, suggesting that the network monitoring toolset can improve overall observability for the DevOps team.

Roadblocks to Partnerships

Nothing is ever easy. And building network operations and DevOps partnerships is no exception. The Megatrends research identify five key challenges to bringing these two groups together.

1. Cross-team skills gaps (41%). These groups work with different technologies and use different tools to manage those technologies. In many cases, they is very little overlap in specialized skills. As a network security architect with a large bank told me: "They only come together when it's a proven need, and it's out of necessity due to there not being a ton of cross-training. The traditional network guys don't know a lot about the cloud."

2. Lack of tool integration (37%). Tool integrations are essential to breaking down silos. By sharing data and reports across tools, DevOps and network operations can start to understand each other's worlds and make decisions together.

3. Budget limitations (34%). Money makes the world go around. It takes money to train people, integrate tools, and devote time to building out processes for collaboration.

4. Lack of best practices and policies (33%). Many IT organizations rely on industry standard best practices to establish policies, procedures, and tooling. Such best practices are slow to establish standards in new territory, such as collaboration between these two groups. It's unknown territory for many industry experts.

5. Divided technology leadership (33%). This last issue is a tricky one. Basically, a third of research respondents told us that the DevOps team does not report up to a traditional CIO's office like network operations does. It is difficult to steer a ship with two captains. Collaboration between these silos will require collaboration at the executive level, too.

Build These Partnerships Today

Some naysayers may be unconvinced about the value of this collaboration. EMA research disagrees. In our analysis of survey data, we found that successful network operations teams are the most likely to completely erase silos between DevOps and network operations. Unsuccessful teams tend to keep more daylight between these groups. EMA believes that deep partnerships between these groups is a potential best practice moving forward.

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Network Management Megatrends 2022

Shamus McGillicuddy

Network operations teams are trying to establish partnerships with DevOps teams, but the process isn't easy.

The DevOps team tends to focus on the deployment and quality of applications while the network operations team focuses on network monitoring and management. While the two groups have different priorities, they see opportunities to help each other.

In its recently published Network Management Megatrends 2022 research report, Enterprise Management Associates (EMA) found that 93% of companies with a DevOps group have aligned or plan to align it closely with their network operations group. In fact, 38% expect these two groups to merge into a single unit. Another 55% expect them to establish formalized partnerships with deep collaboration.

"Our network monitoring team has team members who attend all DevOps meetings," said an IT operations manager for one of the world's largest government agencies. "It's going okay. The network monitoring team is always hammering the DevOps team, telling them they need to set up more monitoring. It goes over to varying degrees of success. DevOps always says, ‘We have customers to deal with. This can wait.' It's not at the top of their list."

Collaboration Opportunities for NetOps and DevOps

EMA's Megatrends report, based on a survey of 409 IT professionals, found three important areas of collaboration for network and DevOps groups.

1. Security policy design/implementation (51%). Network operations professionals have often told EMA that they find DevOps and CloudOps professionals to be less sophisticated with security policies. This leads to vulnerabilities and compliance violations that undermine application rollouts. A strong partnership allows the network operations team to bring its security expertise to the table and set up DevOps for success.

2. Application optimization/fail-fast iteration (42%). DevOps teams often optimize applications through a fail-fast approach, which encourages rapid iterations of application deployments where failure is expected and used as an opportunity to improve overall application design. This process requires good observability capabilities. It can also have significant impact on the network. One network engineer once told me that his DevOps team rolled out an application that was initially so inefficient in how it maintained a cache of directory information that it brought down the network every morning. He had to use packet analysis to get to the root of the problem. On the bright side, his discovery of the problem helped the DevOps team to optimize the application.

3. Network capacity planning (41%). Network operations teams need to know how the network will be used in the future to optimize network capacity. They usually do this by analyzing trends in their network monitoring tools. However, a closer relationship with DevOps could provide them more insight into how a company's application portfolio is going to evolve over time.

EMA's research found secondary interest in collaboration around application planning and design (36%) and operational monitoring (36%). Members of DevOps teams in EMA's survey were especially interested in monitoring collaboration, suggesting that the network monitoring toolset can improve overall observability for the DevOps team.

Roadblocks to Partnerships

Nothing is ever easy. And building network operations and DevOps partnerships is no exception. The Megatrends research identify five key challenges to bringing these two groups together.

1. Cross-team skills gaps (41%). These groups work with different technologies and use different tools to manage those technologies. In many cases, they is very little overlap in specialized skills. As a network security architect with a large bank told me: "They only come together when it's a proven need, and it's out of necessity due to there not being a ton of cross-training. The traditional network guys don't know a lot about the cloud."

2. Lack of tool integration (37%). Tool integrations are essential to breaking down silos. By sharing data and reports across tools, DevOps and network operations can start to understand each other's worlds and make decisions together.

3. Budget limitations (34%). Money makes the world go around. It takes money to train people, integrate tools, and devote time to building out processes for collaboration.

4. Lack of best practices and policies (33%). Many IT organizations rely on industry standard best practices to establish policies, procedures, and tooling. Such best practices are slow to establish standards in new territory, such as collaboration between these two groups. It's unknown territory for many industry experts.

5. Divided technology leadership (33%). This last issue is a tricky one. Basically, a third of research respondents told us that the DevOps team does not report up to a traditional CIO's office like network operations does. It is difficult to steer a ship with two captains. Collaboration between these silos will require collaboration at the executive level, too.

Build These Partnerships Today

Some naysayers may be unconvinced about the value of this collaboration. EMA research disagrees. In our analysis of survey data, we found that successful network operations teams are the most likely to completely erase silos between DevOps and network operations. Unsuccessful teams tend to keep more daylight between these groups. EMA believes that deep partnerships between these groups is a potential best practice moving forward.

Related Links

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OpenTelemetry: A Complete Telemetry Framework that Grows with You

Most organizations approach OpenTelemetry as a collection of individual tools they need to assemble from scratch. This view misses the bigger picture. OpenTelemetry is a complete telemetry framework with composable components that address specific problems at different stages of organizational maturity. You start with what you need today and adopt additional pieces as your observability practices evolve ...

The Quiet Power of Milliseconds in High Traffic Systems

One of the earliest lessons I learned from architecting throughput-heavy services is that simplicity wins repeatedly: fewer moving parts, loosely coupled execution (fewer synchronous calls), and precise timing metering. You want data and decisions to travel the shortest possible path. The goal is to build a system where every strategy and each line of code (contention is the key metric) complements the decision trees ...

Are AI "Autonomous Coworkers" Ready for Payroll?

As discussions around AI "autonomous coworkers" accelerate, many industry projections assume that agents will soon operate alongside human staff in making decisions, taking actions, and managing tasks with minimal oversight. But a growing number of critics (including some of the developers building these systems) argue that the industry still has a long way to go to be able to treat AI agents like fully trusted teammates ...

Enterprise AI Reaches Pivotal Inflection Point: From Automation to Agentic Intelligence

Enterprise AI has entered a transformational phase where, according to Digitate's recently released survey, Agentic AI and the Future of Enterprise IT, companies are moving beyond traditional automation toward Agentic AI systems designed to reason, adapt, and collaborate alongside human teams ...

The Real Reason Enterprise AI Stalls: It Doesn't Fit in the Box

The numbers back this urgency up. A recent Zapier survey shows that 92% of enterprises now treat AI as a top priority. Leaders want it, and teams are clamoring for it. But if you look closer at the operations of these companies, you see a different picture. The rollout is slow. The results are often delayed. There's a disconnect between what leaders want and what their technical infrastructure can handle ...

AI's Inflection Point Will Redefine Enterprise Readiness in 2026

Kyndryl's 2025 Readiness Report revealed that 61% of global business and technology leaders report increasing pressure from boards and regulators to prove AI's ROI. As the technology evolves and expectations continue to rise, leaders are compelled to generate and prove impact before scaling further. This will lead to a decisive turning point in 2026 ...

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Cloudflare's disruption illustrates how quickly a single provider's issue cascades into widespread exposure. Many organizations don't fully realize how tightly their systems are coupled to thirdparty services, or how quickly availability and security concerns align when those services falter ... You can't avoid these dependencies, but you can understand them ...

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If you work with AI, you know this story. A model performs during testing, looks great in early reviews, works perfectly in production and then slowly loses relevance after operating for a while. Everything on the surface looks perfect — pipelines are running, predictions or recommendations are error-free, data quality checks show green; yet outcomes don't meet the ground reality. This pattern often repeats across enterprise AI programs. Take for example, a mid-sized retail banking and wealth-management firm with heavy investments in AI-powered risk analytics, fraud detection and personalized credit-decisioning systems. The model worked well for a while, but transactions increased, so did false positives by 18% ...

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Basic uptime is no longer the gold standard. By 2026, network monitoring must do more than report status, it must explain performance in a hybrid-first world. Networks are no longer just static support systems; they are agile, distributed architectures that sit at the very heart of the customer experience and the business outcomes ... The following five trends represent the new standard for network health, providing a blueprint for teams to move from reactive troubleshooting to a proactive, integrated future ...

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