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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.

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Artificial intelligence (AI) is core to observability practices, with some 41% of respondents reporting AI adoption as a core driver of observability, according to the State of Observability for Financial Services and Insurance report from New Relic ...

Application performance monitoring (APM) is a game of catching up — building dashboards, setting thresholds, tuning alerts, and manually correlating metrics to root causes. In the early days, this straightforward model worked as applications were simpler, stacks more predictable, and telemetry was manageable. Today, the landscape has shifted, and more assertive tools are needed ...

Cloud adoption has accelerated, but backup strategies haven't always kept pace. Many organizations continue to rely on backup strategies that were either lifted directly from on-prem environments or use cloud-native tools in limited, DR-focused ways ... Eon uncovered a handful of critical gaps regarding how organizations approach cloud backup. To capture these prevailing winds, we gathered insights from 150+ IT and cloud leaders at the recent Google Cloud Next conference, which we've compiled into the 2025 State of Cloud Data Backup ...

Private clouds are no longer playing catch-up, and public clouds are no longer the default as organizations recalibrate their cloud strategies, according to the Private Cloud Outlook 2025 report from Broadcom. More than half (53%) of survey respondents say private cloud is their top priority for deploying new workloads over the next three years, while 69% are considering workload repatriation from public to private cloud, with one-third having already done so ...

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Back in March of this year ... MongoDB's stock price took a serious tumble ... In my opinion, it reflects a deeper structural issue in enterprise software economics altogether — vendor lock-in ...

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Zero-day vulnerabilities — security flaws that are exploited before developers even know they exist — pose one of the greatest risks to modern organizations. Recently, such vulnerabilities have been discovered in well-known VPN systems like Ivanti and Fortinet, highlighting just how outdated these legacy technologies have become in defending against fast-evolving cyber threats ... To protect digital assets and remote workers in today's environment, companies need more than patchwork solutions. They need architecture that is secure by design ...

Traditional observability requires users to leap across different platforms or tools for metrics, logs, or traces and related issues manually, which is very time-consuming, so as to reasonably ascertain the root cause. Observability 2.0 fixes this by unifying all telemetry data, logs, metrics, and traces into a single, context-rich pipeline that flows into one smart platform. But this is far from just having a bunch of additional data; this data is actionable, predictive, and tied to revenue realization ...

64% of enterprise networking teams use internally developed software or scripts for network automation, but 61% of those teams spend six or more hours per week debugging and maintaining them, according to From Scripts to Platforms: Why Homegrown Tools Dominate Network Automation and How Vendors Can Help, my latest EMA report ...

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

Artificial intelligence (AI) is core to observability practices, with some 41% of respondents reporting AI adoption as a core driver of observability, according to the State of Observability for Financial Services and Insurance report from New Relic ...

Application performance monitoring (APM) is a game of catching up — building dashboards, setting thresholds, tuning alerts, and manually correlating metrics to root causes. In the early days, this straightforward model worked as applications were simpler, stacks more predictable, and telemetry was manageable. Today, the landscape has shifted, and more assertive tools are needed ...

Cloud adoption has accelerated, but backup strategies haven't always kept pace. Many organizations continue to rely on backup strategies that were either lifted directly from on-prem environments or use cloud-native tools in limited, DR-focused ways ... Eon uncovered a handful of critical gaps regarding how organizations approach cloud backup. To capture these prevailing winds, we gathered insights from 150+ IT and cloud leaders at the recent Google Cloud Next conference, which we've compiled into the 2025 State of Cloud Data Backup ...

Private clouds are no longer playing catch-up, and public clouds are no longer the default as organizations recalibrate their cloud strategies, according to the Private Cloud Outlook 2025 report from Broadcom. More than half (53%) of survey respondents say private cloud is their top priority for deploying new workloads over the next three years, while 69% are considering workload repatriation from public to private cloud, with one-third having already done so ...

As organizations chase productivity gains from generative AI, teams are overwhelmingly focused on improving delivery speed (45%) over enhancing software quality (13%), according to the Quality Transformation Report from Tricentis ...

Back in March of this year ... MongoDB's stock price took a serious tumble ... In my opinion, it reflects a deeper structural issue in enterprise software economics altogether — vendor lock-in ...

In MEAN TIME TO INSIGHT Episode 15, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses Do-It-Yourself Network Automation ... 

Zero-day vulnerabilities — security flaws that are exploited before developers even know they exist — pose one of the greatest risks to modern organizations. Recently, such vulnerabilities have been discovered in well-known VPN systems like Ivanti and Fortinet, highlighting just how outdated these legacy technologies have become in defending against fast-evolving cyber threats ... To protect digital assets and remote workers in today's environment, companies need more than patchwork solutions. They need architecture that is secure by design ...

Traditional observability requires users to leap across different platforms or tools for metrics, logs, or traces and related issues manually, which is very time-consuming, so as to reasonably ascertain the root cause. Observability 2.0 fixes this by unifying all telemetry data, logs, metrics, and traces into a single, context-rich pipeline that flows into one smart platform. But this is far from just having a bunch of additional data; this data is actionable, predictive, and tied to revenue realization ...

64% of enterprise networking teams use internally developed software or scripts for network automation, but 61% of those teams spend six or more hours per week debugging and maintaining them, according to From Scripts to Platforms: Why Homegrown Tools Dominate Network Automation and How Vendors Can Help, my latest EMA report ...