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Making Life Easier for IT Staff

Ivar Sagemo

The challenging reality for most IT departments is that new software for integrating processes and thus improving productivity can turn out to be the source of additional IT headaches. This is at odds with what should be an organizational priority: making the IT department's life easier. Such an approach is wise not just to keep critical computing systems purring but to avoid disgruntlement and costly turnover within this important corporate group.

But when the word comes down to IT from above that new enterprise software will be installed, life usually doesn't get easier. This is particularly true in the case of monitoring tools for an Enterprise Service Bus (ESB) like Microsoft's BizTalk. Widely used for managing disparate business processes handled by different software systems, it's obvious that ESBs need monitoring to prevent costly downtime. However, monitoring tools add yet another layer of complexity, which means more work for a typically burdened IT group.

What's typical with monitoring software is the need to hire external consultants for installation and tuning. There goes some of a department's scarce budget! Then there's the real tricky part — determining, after the consultants leave, what was implemented and what techniques worked best. "Plug and play" is usually a pipe dream for something as complex as ESB monitoring tools. Figuring out the baseline business traffic thresholds and traffic patterns to set up monitoring is very tough.

The typical route with monitoring tools is manually configuring, adjusting and re-adjusting thresholds and monitoring parameters, likely with very little input from the business side of an enterprise. It's often a shot in the dark that ends up delivering too many or too few alerts.

With this blindfolded approach, the daily reality for IT is having to investigate thousands of alerts , most of which they don’t believe are real and they just end up deleting— or perhaps they delete a few that are real. In essence, monitoring tools become reactive, sending warnings when the system has already broken down.

Image removed.

Unfortunately, there are other pesky issues to consider. Many ESB monitoring platforms are often extremely rigid and time consuming when it came to maintenance. Need someone on site to install and, in addition, these platforms are frequently bundled with other products and thus perform more than just monitoring, forcing IT personnel to have extra certification and training.

The biggest problem, however, is the specter of potential server downtime — the scariest issue of all. One recent study of U.S. data centers determined that the average cost of downtime was $5,600 per minute, with the average reported duration being 90 minutes. Even if an enterprise system is up 99.5% of the time, this still translates to almost 44 hours a year of downtime. This is the ultimate nightmare for IT.

With all these challenges in mind, it's welcome news that some IT teams have been able to weed through all the options and zero in on tools that avoid some of the common pitfalls. When the IT department of Aon Norway started reviewing monitoring tools, its goal was software that was as intuitive as the iPhone. Part of the world's largest insurance brokerage, Aon plc, this IT team had the same challenges as most IT groups but achieved a positive outcome.

Ivar Sagemo is CEO of AIMS Innovation.

Related Links:

Ivar Sagemo, CEO of AIMS Innovation, Joins the APMdigest Vendor Forum

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Making Life Easier for IT Staff

Ivar Sagemo

The challenging reality for most IT departments is that new software for integrating processes and thus improving productivity can turn out to be the source of additional IT headaches. This is at odds with what should be an organizational priority: making the IT department's life easier. Such an approach is wise not just to keep critical computing systems purring but to avoid disgruntlement and costly turnover within this important corporate group.

But when the word comes down to IT from above that new enterprise software will be installed, life usually doesn't get easier. This is particularly true in the case of monitoring tools for an Enterprise Service Bus (ESB) like Microsoft's BizTalk. Widely used for managing disparate business processes handled by different software systems, it's obvious that ESBs need monitoring to prevent costly downtime. However, monitoring tools add yet another layer of complexity, which means more work for a typically burdened IT group.

What's typical with monitoring software is the need to hire external consultants for installation and tuning. There goes some of a department's scarce budget! Then there's the real tricky part — determining, after the consultants leave, what was implemented and what techniques worked best. "Plug and play" is usually a pipe dream for something as complex as ESB monitoring tools. Figuring out the baseline business traffic thresholds and traffic patterns to set up monitoring is very tough.

The typical route with monitoring tools is manually configuring, adjusting and re-adjusting thresholds and monitoring parameters, likely with very little input from the business side of an enterprise. It's often a shot in the dark that ends up delivering too many or too few alerts.

With this blindfolded approach, the daily reality for IT is having to investigate thousands of alerts , most of which they don’t believe are real and they just end up deleting— or perhaps they delete a few that are real. In essence, monitoring tools become reactive, sending warnings when the system has already broken down.

Image removed.

Unfortunately, there are other pesky issues to consider. Many ESB monitoring platforms are often extremely rigid and time consuming when it came to maintenance. Need someone on site to install and, in addition, these platforms are frequently bundled with other products and thus perform more than just monitoring, forcing IT personnel to have extra certification and training.

The biggest problem, however, is the specter of potential server downtime — the scariest issue of all. One recent study of U.S. data centers determined that the average cost of downtime was $5,600 per minute, with the average reported duration being 90 minutes. Even if an enterprise system is up 99.5% of the time, this still translates to almost 44 hours a year of downtime. This is the ultimate nightmare for IT.

With all these challenges in mind, it's welcome news that some IT teams have been able to weed through all the options and zero in on tools that avoid some of the common pitfalls. When the IT department of Aon Norway started reviewing monitoring tools, its goal was software that was as intuitive as the iPhone. Part of the world's largest insurance brokerage, Aon plc, this IT team had the same challenges as most IT groups but achieved a positive outcome.

Ivar Sagemo is CEO of AIMS Innovation.

Related Links:

Ivar Sagemo, CEO of AIMS Innovation, Joins the APMdigest Vendor Forum

Hot Topics

The Latest

While 87% of manufacturing leaders and technical specialists report that ROI from their AIOps initiatives has met or exceeded expectations, only 37% say they are fully prepared to operationalize AI at scale, according to The Future of IT Operations in the AI Era, a report from Riverbed ...

Many organizations rely on cloud-first architectures to aggregate, analyze, and act on their operational data ... However, not all environments are conducive to cloud-first architectures ... There are limitations to cloud-first architectures that render them ineffective in mission-critical situations where responsiveness, cost control, and data sovereignty are non-negotiable; these limitations include ...

For years, cybersecurity was built around a simple assumption: protect the physical network and trust everything inside it. That model made sense when employees worked in offices, applications lived in data centers, and devices rarely left the building. Today's reality is fluid: people work from everywhere, applications run across multiple clouds, and AI-driven agents are beginning to act on behalf of users. But while the old perimeter dissolved, a new one quietly emerged ...

For years, infrastructure teams have treated compute as a relatively stable input. Capacity was provisioned, costs were forecasted, and performance expectations were set based on the assumption that identical resources behaved identically. That mental model is starting to break down. AI infrastructure is no longer behaving like static cloud capacity. It is increasingly behaving like a market ...

Resilience can no longer be defined by how quickly an organization recovers from an incident or disruption. The effectiveness of any resilience strategy is dependent on its ability to anticipate change, operate under continuous stress, and adapt confidently amid uncertainty ...

Mobile users are less tolerant of app instability than ever before. According to a new report from Luciq, No Margin for Error: What Mobile Users Expect and What Mobile Leaders Must Deliver in 2026, even minor performance issues now result in immediate abandonment, lost purchases, and long-term brand impact ...

Artificial intelligence (AI) has become the dominant force shaping enterprise data strategies. Boards expect progress. Executives expect returns. And data leaders are under pressure to prove that their organizations are "AI-ready" ...

Agentic AI is a major buzzword for 2026. Many tech companies are making bold promises about this technology, but many aren't grounded in reality, at least not yet. This coming year will likely be shaped by reality checks for IT teams, and progress will only come from a focus on strong foundations and disciplined execution ...

AI systems are still prone to hallucinations and misjudgments ... To build the trust needed for adoption, AI must be paired with human-in-the-loop (HITL) oversight, or checkpoints where humans verify, guide, and decide what actions are taken. The balance between autonomy and accountability is what will allow AI to deliver on its promise without sacrificing human trust ...

More data center leaders are reducing their reliance on utility grids by investing in onsite power for rapidly scaling data centers, according to the Data Center Power Report from Bloom Energy ...