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Turning Tactical IT Into Strategic IT

Keith Bromley

As businesses look to drive more and more value out of the organization, is there a way that IT can help? While the answer could be yes, the problem is time.

Around 41% of enterprise IT departments spend over 50% of their time responding to network and application performance problems

A study conducted by Enterprise Management Associates showed that around 41% of enterprise IT departments spend over 50% of their time responding to network and application performance problems. This leaves precious little time for value-add activities.

While tactical IT activities are necessary, they place a considerable drain on IT resources. What if you could reduce the amount of problem resolution time by just 10%? This would be more time that could be applied to deliver projects that increase customer retention, expand market share, and/or increase revenue. Again, while there is definitely value for tactical IT activities, the value is smaller than the value of strategic IT activities.

The question then becomes, how can you reduce the time you spend on application and network activities so that you can redeploy that time for strategic business tasks?

The answer is to improve your visibility into the network. Organizations need access to data. At the same time, that data is overloading them. According to IBM research, over 90% of all of the data in the world has been created in the last two years. Network visibility allows you to capture and process key pieces of network and application data to: generate business insights for better network and application performance, perform macroscopic troubleshooting tactics, create better security device efficiencies, and implement better compliance practices.

A lack of network visibility (geolocation of users and problems, device type and browser type information, real-time access to network and application performance as it transits across the network, etc.) is behind a lot of IT inefficiency. This results in a longer amount of time to put out troubleshooting fires than was necessary. Flow data, packet data, and performance data can all be combined to quickly create a detailed analysis. With this extra information, you can be more strategic and plan more effectively.

85% of MTTR is the time taken to identify that there is, in fact, an issue

Increased network visibility is also critical when dealing with one of the top IT metrics, mean time to repair (MTTR). Approximately 85% of MTTR is the time taken to identify that there is, in fact, an issue, says Zeus Kerravala, principal analyst at ZK Research.

Even worse, Kerravala says, the MTTR clock starts ticking whether IT knows that there is an issue or not. Reducing this metric not only helps to give you back valuable time, it should help you improve one of your key performance indicators (KPI).

Network visibility can assist in all of these areas. The foundation of network visibility is the visibility architecture. This architecture consists of three element types: taps, network packet brokers, and monitoring tools. Taps are simply passive devices that make a complete copy of the data traversing the network on that particular network segment. The copied data is then sent to a packet broker which allows you to aggregate all of your data, deduplicate it, strip off unnecessary headers or payloads, and then replicate one or more pieces of that data and send it to different monitoring tools. Once the visibility architecture is in place, reductions of MTTR by up to 80% are possible.

Some of the biggest enterprise changes today are cloud computing, shadow IT, and mobile/bring-your-own-device (BYOD). The thread that links these shifts is data handling. Each one, in different ways, enables users to create data from new sources. Network visibility should be a critical component of this shift to reduce your time and money spent on tactical IT activities.

Hot Topics

The Latest

IT organizations have historically measured success by how quickly they can respond when something goes wrong. The entire discipline of Incident Management has been optimized around mean time to resolution, first-response SLAs and ticket closure rates. But new research suggests that even though this is a well-executed playbook, it's no longer enough to retain customers ...

Production incidents rarely announce themselves as database problems. They appear as slow transactions, timeouts, rising response times, or an application struggling under a workload it previously handled. APM provides an essential starting point. It can identify a slow transaction path, highlight an affected service, and show that a database dependency is consuming more time than expected. But identifying the database as part of the problem is not the same as explaining what is happening inside it ...

Cloud teams are under constant pressure to reduce spend without slowing development or increasing operational risk. They are deploying autoscalers, rightsizing workloads, enforcing resource requests, reviewing utilization dashboards, and building FinOps processes around cloud-native environments. Yet the results often disappoint ...

Ask most IT leaders about their biggest concern with AI and you'll hear the same answer: hallucinations ... Today, however, the conversation has shifted ... As organizations move beyond chatbots and experiments, they are increasingly deploying AI agents that perform multi-step tasks. These systems retrieve documents, query databases, call APIs, generate reports, write code, and make recommendations. The issue is not whether the model can reason. The issue is whether the organization can see, verify, and govern the decisions being made along the way ...

While organizations want to take control of their telemetry, building telemetry pipelines from scratch can be a very daunting, complicated task, even when leveraging open-source standards like OpenTelemetry. It requires specialized knowledge across distributed systems, data engineering, and security. This fragmented approach across systems causes higher operational costs; it puts a strain on resources and reduces efficiency as teams have to work with different interfaces and processes ...

For decades, enterprise networks were designed around a simple assumption: work happened inside the office. Applications lived in centralized data centers, employees connected through internal infrastructure, and security focused on protecting the perimeter that surrounded everything ... But the way organizations operate today bears little resemblance to that environment. Cloud platforms host critical applications, employees connect from homes and airports as often as they do from offices, and partners collaborate through shared systems that exist far beyond corporate walls. In short, the corporate network no longer resembles the environment it was designed to protect ...

As an analyst who researches how IT organizations design, build, and operate their networks, I find that network data is a constant source of pain. Network teams struggle with data quality, fragmentation, authority, access, and trust. And these issues undermine everything they try to do. Here are the numbers: Only 45% of network teams are completely confident in the accuracy of their network source of truth, which documents the intent of their network ...

The 2026 Global Data Center Survey from Uptime Institute reveals an industry navigating workforce constraints, escalating outage expenses, even as rising costs remain the top concern for management teams ...

The next observability gap may not be in the code. It may be under the rack. That sounds strange until you think about how AI incidents actually feel in the middle of an investigation ... The application dashboard may be accurate. It may also be stopping at the wrong boundary. AI systems depend on software, but they also depend on a dense physical stack: racks, power paths, thermal margin, maintenance activity and, in many environments, liquid cooling. Those physical dependencies can change slowly before they look like a software incident ...

Certificate expiration is the rare outage you can see coming. Every TLS certificate carries the date it stops working, so the moment it will begin breaking connections is knowable in advance. That's what makes an expired certificate such a frustrating way to lose a service. What's changing now is how often that date comes around ...

Turning Tactical IT Into Strategic IT

Keith Bromley

As businesses look to drive more and more value out of the organization, is there a way that IT can help? While the answer could be yes, the problem is time.

Around 41% of enterprise IT departments spend over 50% of their time responding to network and application performance problems

A study conducted by Enterprise Management Associates showed that around 41% of enterprise IT departments spend over 50% of their time responding to network and application performance problems. This leaves precious little time for value-add activities.

While tactical IT activities are necessary, they place a considerable drain on IT resources. What if you could reduce the amount of problem resolution time by just 10%? This would be more time that could be applied to deliver projects that increase customer retention, expand market share, and/or increase revenue. Again, while there is definitely value for tactical IT activities, the value is smaller than the value of strategic IT activities.

The question then becomes, how can you reduce the time you spend on application and network activities so that you can redeploy that time for strategic business tasks?

The answer is to improve your visibility into the network. Organizations need access to data. At the same time, that data is overloading them. According to IBM research, over 90% of all of the data in the world has been created in the last two years. Network visibility allows you to capture and process key pieces of network and application data to: generate business insights for better network and application performance, perform macroscopic troubleshooting tactics, create better security device efficiencies, and implement better compliance practices.

A lack of network visibility (geolocation of users and problems, device type and browser type information, real-time access to network and application performance as it transits across the network, etc.) is behind a lot of IT inefficiency. This results in a longer amount of time to put out troubleshooting fires than was necessary. Flow data, packet data, and performance data can all be combined to quickly create a detailed analysis. With this extra information, you can be more strategic and plan more effectively.

85% of MTTR is the time taken to identify that there is, in fact, an issue

Increased network visibility is also critical when dealing with one of the top IT metrics, mean time to repair (MTTR). Approximately 85% of MTTR is the time taken to identify that there is, in fact, an issue, says Zeus Kerravala, principal analyst at ZK Research.

Even worse, Kerravala says, the MTTR clock starts ticking whether IT knows that there is an issue or not. Reducing this metric not only helps to give you back valuable time, it should help you improve one of your key performance indicators (KPI).

Network visibility can assist in all of these areas. The foundation of network visibility is the visibility architecture. This architecture consists of three element types: taps, network packet brokers, and monitoring tools. Taps are simply passive devices that make a complete copy of the data traversing the network on that particular network segment. The copied data is then sent to a packet broker which allows you to aggregate all of your data, deduplicate it, strip off unnecessary headers or payloads, and then replicate one or more pieces of that data and send it to different monitoring tools. Once the visibility architecture is in place, reductions of MTTR by up to 80% are possible.

Some of the biggest enterprise changes today are cloud computing, shadow IT, and mobile/bring-your-own-device (BYOD). The thread that links these shifts is data handling. Each one, in different ways, enables users to create data from new sources. Network visibility should be a critical component of this shift to reduce your time and money spent on tactical IT activities.

Hot Topics

The Latest

IT organizations have historically measured success by how quickly they can respond when something goes wrong. The entire discipline of Incident Management has been optimized around mean time to resolution, first-response SLAs and ticket closure rates. But new research suggests that even though this is a well-executed playbook, it's no longer enough to retain customers ...

Production incidents rarely announce themselves as database problems. They appear as slow transactions, timeouts, rising response times, or an application struggling under a workload it previously handled. APM provides an essential starting point. It can identify a slow transaction path, highlight an affected service, and show that a database dependency is consuming more time than expected. But identifying the database as part of the problem is not the same as explaining what is happening inside it ...

Cloud teams are under constant pressure to reduce spend without slowing development or increasing operational risk. They are deploying autoscalers, rightsizing workloads, enforcing resource requests, reviewing utilization dashboards, and building FinOps processes around cloud-native environments. Yet the results often disappoint ...

Ask most IT leaders about their biggest concern with AI and you'll hear the same answer: hallucinations ... Today, however, the conversation has shifted ... As organizations move beyond chatbots and experiments, they are increasingly deploying AI agents that perform multi-step tasks. These systems retrieve documents, query databases, call APIs, generate reports, write code, and make recommendations. The issue is not whether the model can reason. The issue is whether the organization can see, verify, and govern the decisions being made along the way ...

While organizations want to take control of their telemetry, building telemetry pipelines from scratch can be a very daunting, complicated task, even when leveraging open-source standards like OpenTelemetry. It requires specialized knowledge across distributed systems, data engineering, and security. This fragmented approach across systems causes higher operational costs; it puts a strain on resources and reduces efficiency as teams have to work with different interfaces and processes ...

For decades, enterprise networks were designed around a simple assumption: work happened inside the office. Applications lived in centralized data centers, employees connected through internal infrastructure, and security focused on protecting the perimeter that surrounded everything ... But the way organizations operate today bears little resemblance to that environment. Cloud platforms host critical applications, employees connect from homes and airports as often as they do from offices, and partners collaborate through shared systems that exist far beyond corporate walls. In short, the corporate network no longer resembles the environment it was designed to protect ...

As an analyst who researches how IT organizations design, build, and operate their networks, I find that network data is a constant source of pain. Network teams struggle with data quality, fragmentation, authority, access, and trust. And these issues undermine everything they try to do. Here are the numbers: Only 45% of network teams are completely confident in the accuracy of their network source of truth, which documents the intent of their network ...

The 2026 Global Data Center Survey from Uptime Institute reveals an industry navigating workforce constraints, escalating outage expenses, even as rising costs remain the top concern for management teams ...

The next observability gap may not be in the code. It may be under the rack. That sounds strange until you think about how AI incidents actually feel in the middle of an investigation ... The application dashboard may be accurate. It may also be stopping at the wrong boundary. AI systems depend on software, but they also depend on a dense physical stack: racks, power paths, thermal margin, maintenance activity and, in many environments, liquid cooling. Those physical dependencies can change slowly before they look like a software incident ...

Certificate expiration is the rare outage you can see coming. Every TLS certificate carries the date it stops working, so the moment it will begin breaking connections is knowable in advance. That's what makes an expired certificate such a frustrating way to lose a service. What's changing now is how often that date comes around ...