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5 Tools to Help Virtualize Your Network Operations Center

Michael Procopio

With the adjustment to the new normal of remote work, IT Operations teams are struggling for a variety of reasons. One of the biggest problems is disrupted communications patterns. At the office, it's easy to ask a coworker a question. For most, their subject matter experts — who were a desk or two away — are no longer readily available. Organizations now face a lack of tools that can funnel information one place leaving an operator to view multiple IT operations tools on different systems.

To deal with this situation, businesses should start by virtualizing your Network Operations Center (NOC). Here are five tools that can help:

Group Chat Tool

Operations teams need to modify their processes to remain effective in a remote working environment. Issues that once required a quick walk over to the IT team now demands a chat or call.

There is also a lot of benefit in just hearing other people talk about something that you can add value too, which goes away when you are remote.

Person to person chat tools have been around since AOL, but group chat tools provide new functions that are particularly useful for IT teams.

Single Pane of Glass

A recent study by Enterprise Management Associates shows that, on average, IT Operations teams have 23 tools. When working at an operations center, moving between the screens of various tools, while inefficient, is not impossible. There is a lot of desk space for all those monitors or wall space for projection.

For example, I have two monitors in my home office, and could even do three, but not 23 (remember that's just the average). I can bring up more virtual windows but that is not always as efficient as separate monitors.

To avoid the need for 23 separate monitors, IT teams should integrate tools to be condensed into a "single pane of glass." This makes it easier for an operator to keep track of everything going on and ensures everyone sees the same data.

Correlation and Analytics

A follow on to the single pane of glass is bringing all alerts and metrics into a single tool that you can apply event analytics and AIOps to all data.

For example, integrating synthetic monitoring data with system and network data can link an application performance slowdown with a network or system problem that is causing an application performance problem.

ChatOps

ChatOps, in this context, is the ability of IT operations tools to communicate with humans via a group chat tool. A chatbot takes commands from the group chat software and passes it on to the IT operations tool, then takes the tool's response and puts it in the group chat. This improves staff efficiency by allowing anyone in the chat room to issue a command where everyone can see the results. ChatOps becomes the physical version of everyone standing behind you while you type commands and see results on your monitor.

IT Process Automation

Automating tasks provides multiple benefits. It reduces human error, speeds execution, and can roll back a change. With advanced orchestration tools, you can control access to the workflows representing each task and can provide an audit trail.

Automation has the added benefit of reducing costs. In fact, I've seen customers save upwards of $4M by adopting IT process automation.

In conclusion, while most of the discussion has been focused on tools, a change in processes or culture may be needed to make the most of them. For the current situation and with the prospect that this situation will repeat in the future, your operations teams need to be able to be virtual when necessary. If you haven't started virtualizing your NOC yet, the best places to start are group chats and a single pane of glass. Group chat gets communications as close to being in the office as possible. Consolidating as much information as possible in one place minimizes context switching, which disrupts focused thinking, increasing the amount of time to find and fix the problem.

Most disaster recovery plans never thought to account for the situation we are going through now, but given the current realities organizations still need to ensure their teams remain effective. The tools described here help increase the efficiency and quality of your operations, even if you never had to work at home before.

Hot Topics

The Latest

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

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 ...

5 Tools to Help Virtualize Your Network Operations Center

Michael Procopio

With the adjustment to the new normal of remote work, IT Operations teams are struggling for a variety of reasons. One of the biggest problems is disrupted communications patterns. At the office, it's easy to ask a coworker a question. For most, their subject matter experts — who were a desk or two away — are no longer readily available. Organizations now face a lack of tools that can funnel information one place leaving an operator to view multiple IT operations tools on different systems.

To deal with this situation, businesses should start by virtualizing your Network Operations Center (NOC). Here are five tools that can help:

Group Chat Tool

Operations teams need to modify their processes to remain effective in a remote working environment. Issues that once required a quick walk over to the IT team now demands a chat or call.

There is also a lot of benefit in just hearing other people talk about something that you can add value too, which goes away when you are remote.

Person to person chat tools have been around since AOL, but group chat tools provide new functions that are particularly useful for IT teams.

Single Pane of Glass

A recent study by Enterprise Management Associates shows that, on average, IT Operations teams have 23 tools. When working at an operations center, moving between the screens of various tools, while inefficient, is not impossible. There is a lot of desk space for all those monitors or wall space for projection.

For example, I have two monitors in my home office, and could even do three, but not 23 (remember that's just the average). I can bring up more virtual windows but that is not always as efficient as separate monitors.

To avoid the need for 23 separate monitors, IT teams should integrate tools to be condensed into a "single pane of glass." This makes it easier for an operator to keep track of everything going on and ensures everyone sees the same data.

Correlation and Analytics

A follow on to the single pane of glass is bringing all alerts and metrics into a single tool that you can apply event analytics and AIOps to all data.

For example, integrating synthetic monitoring data with system and network data can link an application performance slowdown with a network or system problem that is causing an application performance problem.

ChatOps

ChatOps, in this context, is the ability of IT operations tools to communicate with humans via a group chat tool. A chatbot takes commands from the group chat software and passes it on to the IT operations tool, then takes the tool's response and puts it in the group chat. This improves staff efficiency by allowing anyone in the chat room to issue a command where everyone can see the results. ChatOps becomes the physical version of everyone standing behind you while you type commands and see results on your monitor.

IT Process Automation

Automating tasks provides multiple benefits. It reduces human error, speeds execution, and can roll back a change. With advanced orchestration tools, you can control access to the workflows representing each task and can provide an audit trail.

Automation has the added benefit of reducing costs. In fact, I've seen customers save upwards of $4M by adopting IT process automation.

In conclusion, while most of the discussion has been focused on tools, a change in processes or culture may be needed to make the most of them. For the current situation and with the prospect that this situation will repeat in the future, your operations teams need to be able to be virtual when necessary. If you haven't started virtualizing your NOC yet, the best places to start are group chats and a single pane of glass. Group chat gets communications as close to being in the office as possible. Consolidating as much information as possible in one place minimizes context switching, which disrupts focused thinking, increasing the amount of time to find and fix the problem.

Most disaster recovery plans never thought to account for the situation we are going through now, but given the current realities organizations still need to ensure their teams remain effective. The tools described here help increase the efficiency and quality of your operations, even if you never had to work at home before.

Hot Topics

The Latest

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

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 ...