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Taking Control of a Vast and Complex Applications Portfolio

Brendan Crowe

Imagine you're sitting in a coffee shop and you notice that your smartphone is being sluggish yet again. Applications aren't opening immediately, there's a constant lag with everything and sometimes things seem to crash midway. Fortunately your smartphone has a "Manage Applications" tab that provides you with a list of all the applications running, the space consumed by each one and the last time you actually used any application. Powered with this knowledge, you can now make a quick and informed decision about the unnecessary applications that can be deleted to restore your phone to its optimal state.

However, when the same situation manifests itself at an enterprise level — where organizations have hundreds of applications they have acquired over the years — you could very easily be headed into a complex maze of blind turns without a possible escape.

Navigating a Complex Application Landscape

A typical IT organization expends close to 70% of its human and capital resources maintaining an ever-growing inventory of applications and supporting infrastructure. A lot of this effort is simply misdirected as the organization doesn't need a significant portion of these applications because they are simply not integral to the day-to-day functioning of its business. In many other cases, different departments within the company will implement applications on their own that have duplicate or overlapping functionality with other systems. It has been widely estimated that up to 50% of applications at a typical multinational could be shut down without the business knowing the difference.

Often times, this happens without IT even knowing about it and it creates challenges maintaining the authoritative source for business critical data. Most organizations have such complex application landscapes, that most IT teams have little idea about the number of applications in their inventory.

You need visibility into all your applications with key insights about each to make informed decisions on how to streamline, optimize and modernize them. Unfortunately, existing systematic and management processes typically do not provide a comprehensive, up-to-date view of the application portfolio for a number of reasons:

Business and Technical Fitness: Application information regarding business and technical fitness or related operational costs is incomplete or stored in multiple locations.

Inefficient Reporting: Unfortunately a lot of information is spreadsheet based, which leads to difficulties in flexible visual reporting.

Disjointed View: Most of the information is often managed separately at both enterprise and departmental levels leading to the lack of an integrated view.

Impact on Legacy Applications: Most organizations do not truly understand the impact of legacy applications on their business and continue to maintain them out of a fear of the unknown.

In addition, as internal IT teams are more concerned with putting out fires and showing short term cost savings, they shy away from engaging in a thorough application portfolio assessment. External IT vendors are engaged to provide application support and maintenance that helps an organization barely move forward while dragging along a bloated, expensive and often redundant portfolio of applications.

The Need for an Application Portfolio Assessment

The need of the hour is a multi-dimensional, top-down approach to effective application portfolio management. The first step is assessing the entire portfolio to create a comprehensive overview of your inventory. This includes the key insights and metrics needed to make intelligent decisions, and to develop a future state vision, strategy and roadmap. This type of roadmap is essential to drive efficiencies, fill gaps, eliminate redundancies, set the stage for modernization programs, and move towards those disruptive technologies and applications that will drive differentiation and competitive advantage for businesses today.

Including portfolio assessments as part of a traditional application management services engagement can help businesses proactively understand their applications footprint, connect the dots between legacy systems and functionality and weigh the benefits of retiring unnecessary applications. The next logical step in the journey is a rationalization exercise where a team of experts propose a roadmap that creates a lean, streamlined and efficient applications portfolio.

Working with your solutions provider from the very first step of assessment to the final stages of delivery ensures that all of the proposed business benefits and operational efficiencies are translated into timely and tangible business results. From the start, the intention should be to make the experience of managing applications as simple as pressing a button on your phone (almost).

Brendan Crowe is Global Application Services Director - Global Enterprise Services, Unisys

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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 ...

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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 ...

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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 Control of a Vast and Complex Applications Portfolio

Brendan Crowe

Imagine you're sitting in a coffee shop and you notice that your smartphone is being sluggish yet again. Applications aren't opening immediately, there's a constant lag with everything and sometimes things seem to crash midway. Fortunately your smartphone has a "Manage Applications" tab that provides you with a list of all the applications running, the space consumed by each one and the last time you actually used any application. Powered with this knowledge, you can now make a quick and informed decision about the unnecessary applications that can be deleted to restore your phone to its optimal state.

However, when the same situation manifests itself at an enterprise level — where organizations have hundreds of applications they have acquired over the years — you could very easily be headed into a complex maze of blind turns without a possible escape.

Navigating a Complex Application Landscape

A typical IT organization expends close to 70% of its human and capital resources maintaining an ever-growing inventory of applications and supporting infrastructure. A lot of this effort is simply misdirected as the organization doesn't need a significant portion of these applications because they are simply not integral to the day-to-day functioning of its business. In many other cases, different departments within the company will implement applications on their own that have duplicate or overlapping functionality with other systems. It has been widely estimated that up to 50% of applications at a typical multinational could be shut down without the business knowing the difference.

Often times, this happens without IT even knowing about it and it creates challenges maintaining the authoritative source for business critical data. Most organizations have such complex application landscapes, that most IT teams have little idea about the number of applications in their inventory.

You need visibility into all your applications with key insights about each to make informed decisions on how to streamline, optimize and modernize them. Unfortunately, existing systematic and management processes typically do not provide a comprehensive, up-to-date view of the application portfolio for a number of reasons:

Business and Technical Fitness: Application information regarding business and technical fitness or related operational costs is incomplete or stored in multiple locations.

Inefficient Reporting: Unfortunately a lot of information is spreadsheet based, which leads to difficulties in flexible visual reporting.

Disjointed View: Most of the information is often managed separately at both enterprise and departmental levels leading to the lack of an integrated view.

Impact on Legacy Applications: Most organizations do not truly understand the impact of legacy applications on their business and continue to maintain them out of a fear of the unknown.

In addition, as internal IT teams are more concerned with putting out fires and showing short term cost savings, they shy away from engaging in a thorough application portfolio assessment. External IT vendors are engaged to provide application support and maintenance that helps an organization barely move forward while dragging along a bloated, expensive and often redundant portfolio of applications.

The Need for an Application Portfolio Assessment

The need of the hour is a multi-dimensional, top-down approach to effective application portfolio management. The first step is assessing the entire portfolio to create a comprehensive overview of your inventory. This includes the key insights and metrics needed to make intelligent decisions, and to develop a future state vision, strategy and roadmap. This type of roadmap is essential to drive efficiencies, fill gaps, eliminate redundancies, set the stage for modernization programs, and move towards those disruptive technologies and applications that will drive differentiation and competitive advantage for businesses today.

Including portfolio assessments as part of a traditional application management services engagement can help businesses proactively understand their applications footprint, connect the dots between legacy systems and functionality and weigh the benefits of retiring unnecessary applications. The next logical step in the journey is a rationalization exercise where a team of experts propose a roadmap that creates a lean, streamlined and efficient applications portfolio.

Working with your solutions provider from the very first step of assessment to the final stages of delivery ensures that all of the proposed business benefits and operational efficiencies are translated into timely and tangible business results. From the start, the intention should be to make the experience of managing applications as simple as pressing a button on your phone (almost).

Brendan Crowe is Global Application Services Director - Global Enterprise Services, Unisys

Hot Topics

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 ...