Skip to main content

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.

Hot Topics

The Latest

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...

The gap is widening between what teams spend on observability tools and the value they receive amid surging data volumes and budget pressures, according to The Breaking Point for Observability Leaders, a report from Imply ...

Seamless shopping is a basic demand of today's boundaryless consumer — one with little patience for friction, limited tolerance for disconnected experiences and minimal hesitation in switching brands. Customers expect intuitive, highly personalized experiences and the ability to move effortlessly across physical and digital channels within the same journey. Failure to deliver can cost dearly ...

If your best engineers spend their days sorting tickets and resetting access, you are wasting talent. New global data shows that employees in the IT sector rank among the least motivated across industries. They're under a lot of pressure from many angles. Pressure to upskill and uncertainty around what agentic AI means for job security is creating anxiety. Meanwhile, these roles often function like an on-call job and require many repetitive tasks ...

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.

Hot Topics

The Latest

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...

The gap is widening between what teams spend on observability tools and the value they receive amid surging data volumes and budget pressures, according to The Breaking Point for Observability Leaders, a report from Imply ...

Seamless shopping is a basic demand of today's boundaryless consumer — one with little patience for friction, limited tolerance for disconnected experiences and minimal hesitation in switching brands. Customers expect intuitive, highly personalized experiences and the ability to move effortlessly across physical and digital channels within the same journey. Failure to deliver can cost dearly ...

If your best engineers spend their days sorting tickets and resetting access, you are wasting talent. New global data shows that employees in the IT sector rank among the least motivated across industries. They're under a lot of pressure from many angles. Pressure to upskill and uncertainty around what agentic AI means for job security is creating anxiety. Meanwhile, these roles often function like an on-call job and require many repetitive tasks ...