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Taking the Plunge Into APM

Why Exchange is the best place to start

Deciding to take the plunge and start Application Performance Management (APM) is a big first step. Choosing which application(s) to start monitoring is the next one. I suggest that Exchange is the perfect starting point.

Just 10 years ago, business and IT directors thought protecting their Exchange environment was overkill and a waste of time, money and resources. The view of countless Heads of IT was simple, email was not vital to their business and staff can use the telephone, direct mail or even their personal emails if they need to. How times have changed …

Email – The Public Face Of IT

Email is the public face of IT. Of all the services the IT department delivers it is email that is the most visible and the most obvious when it does not work. When it does not work, it is hard to blame anybody but the IT department.

Exchange has evolved over the years along with working habits, making it more and more difficult to maintain. Nowadays, IT departments realize just how critical email is and what happens to staff when they do not have it.

Rewind to last month when Blackberry Services went down. Users were lost; unable to work, frustrated that they could not access emails, contacts and calendar items or the whole host of social media services available. To think that Exchange will run error-free is living in Cloud Cuckoo Land.

For such an important and visible service, email is the perfect place to begin your APM journey. Everyone uses it, so everyone is affected by it. Email is typically the main service of the IT department and it is a service that most IT technicians will know inside and out. Therefore, it is the perfect stepping-stone to introduce your staff to monitoring and start providing real business value at the same time.

If Outlook Is Slow, Should You Be Looking At Server CPU?

Investment in technology has one purpose: to enable staff and/or the organization to work more efficiently. APM provides an in-depth, detailed survey of the user’s ability to perform tasks. Providing business data such as: how many users affected for how long and where to invest the money in IT for the best return.

If the staff cannot work, then something is wrong. Herein lies the problem, all too often the IT teams have lost sight of the purpose of technology. “If the server is running fine, then there isn’t a problem” is a slightly simplified view but by no means far-fetched. It is time to start putting the user first. If the user is unable to do their work then the problem needs to be addressed, regardless of what the infrastructure may indicate.

IT teams need to reframe their way of thinking. Once they start to look at IT from the user’s perspective then they are fulfilling the purpose of IT and giving value back to the business.

In Reality

A London-based charity with 500 exchange users was having Exchange issues, with users in regional sites and head office all complaining Outlook was slow. Bandwidth issues would help explain problems in the regional offices but the head office was also heavily suffering. This was their cue to start APM; they had to get Exchange up to scratch as it was starting to reflect badly on the IT department.

Traditionally upgrading the bandwidth or upgrading the Server to the newest version of exchange would have been the first options. Like throwing mud and seeing where it sticks.

APM quickly showed the extent of the problems and when and where they were occurring. It was identified that one remote office needed a bandwidth increase and the Exchange server needed more memory. The long-term outcome is an IT department that has shifted its perspective: using APM to focus on the user, they were able to use the budgets effectively while giving back real improvements.

A good email service is critical for the reputation of the IT department. Starting APM with Exchange is not only relatively easy (compared with monitoring bespoke applications) but it is an application everyone in the business is familiar with and will quickly see the benefits.

Once the IT department is convinced by the advantages of APM, it makes it much easier for other department heads to initiate APM in their departments. In other words, it is the path of least resistance to spread APM throughout your business.

About Zubair Aleem

Zubair Aleem is the Managing Director of Quadnet Services in London. Starting out in IT consultancy, he soon decided to found Quadnet as an IT reseller and solution provider. He built the company from scratch up to £7m before turning his focus to service provision. Now he leads Quadnet Services where he has developed a range of application monitoring, diagnostics and management tools.

Related Links:

www.quadnet.co.uk/

The Latest

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

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 ...

Taking the Plunge Into APM

Why Exchange is the best place to start

Deciding to take the plunge and start Application Performance Management (APM) is a big first step. Choosing which application(s) to start monitoring is the next one. I suggest that Exchange is the perfect starting point.

Just 10 years ago, business and IT directors thought protecting their Exchange environment was overkill and a waste of time, money and resources. The view of countless Heads of IT was simple, email was not vital to their business and staff can use the telephone, direct mail or even their personal emails if they need to. How times have changed …

Email – The Public Face Of IT

Email is the public face of IT. Of all the services the IT department delivers it is email that is the most visible and the most obvious when it does not work. When it does not work, it is hard to blame anybody but the IT department.

Exchange has evolved over the years along with working habits, making it more and more difficult to maintain. Nowadays, IT departments realize just how critical email is and what happens to staff when they do not have it.

Rewind to last month when Blackberry Services went down. Users were lost; unable to work, frustrated that they could not access emails, contacts and calendar items or the whole host of social media services available. To think that Exchange will run error-free is living in Cloud Cuckoo Land.

For such an important and visible service, email is the perfect place to begin your APM journey. Everyone uses it, so everyone is affected by it. Email is typically the main service of the IT department and it is a service that most IT technicians will know inside and out. Therefore, it is the perfect stepping-stone to introduce your staff to monitoring and start providing real business value at the same time.

If Outlook Is Slow, Should You Be Looking At Server CPU?

Investment in technology has one purpose: to enable staff and/or the organization to work more efficiently. APM provides an in-depth, detailed survey of the user’s ability to perform tasks. Providing business data such as: how many users affected for how long and where to invest the money in IT for the best return.

If the staff cannot work, then something is wrong. Herein lies the problem, all too often the IT teams have lost sight of the purpose of technology. “If the server is running fine, then there isn’t a problem” is a slightly simplified view but by no means far-fetched. It is time to start putting the user first. If the user is unable to do their work then the problem needs to be addressed, regardless of what the infrastructure may indicate.

IT teams need to reframe their way of thinking. Once they start to look at IT from the user’s perspective then they are fulfilling the purpose of IT and giving value back to the business.

In Reality

A London-based charity with 500 exchange users was having Exchange issues, with users in regional sites and head office all complaining Outlook was slow. Bandwidth issues would help explain problems in the regional offices but the head office was also heavily suffering. This was their cue to start APM; they had to get Exchange up to scratch as it was starting to reflect badly on the IT department.

Traditionally upgrading the bandwidth or upgrading the Server to the newest version of exchange would have been the first options. Like throwing mud and seeing where it sticks.

APM quickly showed the extent of the problems and when and where they were occurring. It was identified that one remote office needed a bandwidth increase and the Exchange server needed more memory. The long-term outcome is an IT department that has shifted its perspective: using APM to focus on the user, they were able to use the budgets effectively while giving back real improvements.

A good email service is critical for the reputation of the IT department. Starting APM with Exchange is not only relatively easy (compared with monitoring bespoke applications) but it is an application everyone in the business is familiar with and will quickly see the benefits.

Once the IT department is convinced by the advantages of APM, it makes it much easier for other department heads to initiate APM in their departments. In other words, it is the path of least resistance to spread APM throughout your business.

About Zubair Aleem

Zubair Aleem is the Managing Director of Quadnet Services in London. Starting out in IT consultancy, he soon decided to found Quadnet as an IT reseller and solution provider. He built the company from scratch up to £7m before turning his focus to service provision. Now he leads Quadnet Services where he has developed a range of application monitoring, diagnostics and management tools.

Related Links:

www.quadnet.co.uk/

The Latest

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

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 ...