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The 5 Requirements of Next-Gen Application Management

In Hybrid IT Departments, App Huggers Demand Application- and Platform-Agnostic Visibility and Control - At the Application Level
Kevin McCartney

The "Hybrid" IT Environment — Mixing Legacy, Web and SaaS Systems — is the New Norm

IT executives are dealing with the real world issues presented by a sometimes chaotic mash-up of legacy, custom and new applications, infrastructure and tools developed or purchased over the last decade or two. This is very different from the homogenous modern enterprise depicted by analysts and marketers who describe a neat and glossy cloud-based environment that promises to alleviate the myriad operational challenges of “old IT.” According to research we did with senior IT executives, this “hybrid” IT environment appears to be a fact of life that is not going away any time soon:

“It used to be you just monitored the CPU and bandwidth. Now that healthy server could be tied to a web service that’s down. There are more moving parts that we don’t own within our applications. And with virtualization it’s even harder to tell where the problem is.”

“We run 400 applications, from Citrix to web-based to client-server to pure desktop, some are 25 years old.”

“We run a hybrid environment with multiple COTS packages. All on premises with plans to move to the cloud in 1-2 years.”

Managing "Hybrid IT" Increases Complexity — and Reactivity

Despite investments in tools and processes to deliver high service levels via proactive and preventative support, IT executives’ day-to-day mode can still be crisis-driven and reactive. Additional layers of anecdotal or incidental feedback as well as “optical” or subjective input contribute to the reactivity.

“Applications were failing and nobody knew. When they did know, 20 people sat in a room passing the buck pointing fingers. Just everyone looking at their own bit and saying ‘it looks OK to me.’”

“It’s more complicated now; there are more layers. First it was just desktop, then server, and then shared resources, now all these layers. The customer is saying ‘what’s going on?’ No one knew what was going on. As a customer it’s very scary.”

“In our business there are still too many ambulance drivers and not enough people investing in a plan.”

"Hybrid IT" Demands Application- and Platform-Agnostic Visibility and Control

Because the typical IT environment is comprised of hundreds of applications leveraging hundreds of platforms and networks, a new generation of Application Management software that is application- and platform-agnostic will become increasingly valuable. Here is what we believe are the five requirements of this new breed of software:

1. A Unique Design Leveraging the Application Process Component Layer

In order to view, manage and recover applications without customizing scripts for every scenario, platform, and application, a unique design approach is required. Where other tools tend to be built to support certain application types and technology, the software will instead leverage something common across all applications—what we at JumpSoft refer to as the Application Process Component layer (also referred to as the OS Process layer).

Your application can be broken down into the individual components (i.e. processes) that run and provide the services that make the application work: OS, database, application server, web server. You need to monitor each of these processes with an understanding of how they impact your application. Your application uses a web server: Is Apache or IIS actually running on your server? Are they actually serving up content? Same thing for the database: Is MySQL or MS MSQL actually running? Can you read and write to the database?

Application Process Components are the common building blocks by which applications are built and function, regardless of environment. This common framework provides the hooks that the Application Management software will leverage to achieve its cross-platform, application-agnostic functionality.

Through support of these universal technical building blocks, applications running on various, but common operating systems, databases, and application frameworks can be readily supported within the next generation of Application Management software.

These hooks exist in both legacy and next-gen applications, and allow application-agnostic management via this framework, versus API-level integration to support each specific application.

2. Stateful Awareness of the Application

Through a combination of built-in application-centric monitor types, the new generation of Application Management software will be aware of how an application is behaving, whether it is up, down, or partially impaired, including what parts of an application are impacted.

But just knowing the individual processes are working isn’t enough. There are lots of great monitors out there, but often they are very specific and require detailed knowledge to interpret. Classic APM tools can tell you down to the line of code how things are working, but what about the entire application? The trick is to consolidate all these monitors into a single view that represents the total health of the application and turn it into actionable information.

At a glance visibility is not about gathering and analyzing reams of performance data. In fact, when you’re trying to establish the health of the system, there is such a thing as “too much data.” The key is to boil that data down to “what to do about it to ensure services,” by leveraging multiple monitor types and points of view to derive true health and impact. And most importantly, what to do about it when things go awry.

3. Understanding of the Application’s Architecture, Components and Related Dependencies

Application Management software will associate application components with an understanding of the appropriate technical steps, in sequence, that are required to gracefully start or stop all, or parts of an application, in the context of its underlying IT infrastructure, in order to recover from, or work-around underlying issues impacting application operation.

4. Secure, Policy-Driven Action

The next generation of Application Management software will be managed by configurable business rules, in conjunction with operational context of the given state of an application. This ensures that the software will only drive the appropriate and prescribed steps in order to get an application to a defined “best-state” in the face of virtually any issue, or combination of issues. This ensures that an organization’s best practices will be uniformly and systematically applied to recover from application issues, negating the likelihood of human error.

5. Lightweight and User-Friendly — So It’s Practical and Cost-Effective to Deploy and Use

Just as importantly as the elegant engineering that goes into this application-centric Application Management tool is that it can be deployed quickly and made immediately available to all users without weeks of training, an army of consultants and hundreds of thousands or millions of dollars in customization. In other words, can I do it quickly, can I do it cheaply and will my staff actually be able to use it?

In essence, Application Management software should:

• Systematically enforce and/or automate an organizations’ best practices, in the context of the situation

• Incorporate an understanding of the technically correct approach

• Have full awareness on an app, or multiple apps

• Build in the model of “what would your people do” in this situation

These combined elements will enable Application Management software to intelligently identify and respond to any issue, or any series of complex events, resulting in rapid application recovery and service continuity. This includes items ranging from complete disaster recovery of an entire application, remediation of a failed application component or providing an automated notification of performance degradation within an application.

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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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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 ...

The 5 Requirements of Next-Gen Application Management

In Hybrid IT Departments, App Huggers Demand Application- and Platform-Agnostic Visibility and Control - At the Application Level
Kevin McCartney

The "Hybrid" IT Environment — Mixing Legacy, Web and SaaS Systems — is the New Norm

IT executives are dealing with the real world issues presented by a sometimes chaotic mash-up of legacy, custom and new applications, infrastructure and tools developed or purchased over the last decade or two. This is very different from the homogenous modern enterprise depicted by analysts and marketers who describe a neat and glossy cloud-based environment that promises to alleviate the myriad operational challenges of “old IT.” According to research we did with senior IT executives, this “hybrid” IT environment appears to be a fact of life that is not going away any time soon:

“It used to be you just monitored the CPU and bandwidth. Now that healthy server could be tied to a web service that’s down. There are more moving parts that we don’t own within our applications. And with virtualization it’s even harder to tell where the problem is.”

“We run 400 applications, from Citrix to web-based to client-server to pure desktop, some are 25 years old.”

“We run a hybrid environment with multiple COTS packages. All on premises with plans to move to the cloud in 1-2 years.”

Managing "Hybrid IT" Increases Complexity — and Reactivity

Despite investments in tools and processes to deliver high service levels via proactive and preventative support, IT executives’ day-to-day mode can still be crisis-driven and reactive. Additional layers of anecdotal or incidental feedback as well as “optical” or subjective input contribute to the reactivity.

“Applications were failing and nobody knew. When they did know, 20 people sat in a room passing the buck pointing fingers. Just everyone looking at their own bit and saying ‘it looks OK to me.’”

“It’s more complicated now; there are more layers. First it was just desktop, then server, and then shared resources, now all these layers. The customer is saying ‘what’s going on?’ No one knew what was going on. As a customer it’s very scary.”

“In our business there are still too many ambulance drivers and not enough people investing in a plan.”

"Hybrid IT" Demands Application- and Platform-Agnostic Visibility and Control

Because the typical IT environment is comprised of hundreds of applications leveraging hundreds of platforms and networks, a new generation of Application Management software that is application- and platform-agnostic will become increasingly valuable. Here is what we believe are the five requirements of this new breed of software:

1. A Unique Design Leveraging the Application Process Component Layer

In order to view, manage and recover applications without customizing scripts for every scenario, platform, and application, a unique design approach is required. Where other tools tend to be built to support certain application types and technology, the software will instead leverage something common across all applications—what we at JumpSoft refer to as the Application Process Component layer (also referred to as the OS Process layer).

Your application can be broken down into the individual components (i.e. processes) that run and provide the services that make the application work: OS, database, application server, web server. You need to monitor each of these processes with an understanding of how they impact your application. Your application uses a web server: Is Apache or IIS actually running on your server? Are they actually serving up content? Same thing for the database: Is MySQL or MS MSQL actually running? Can you read and write to the database?

Application Process Components are the common building blocks by which applications are built and function, regardless of environment. This common framework provides the hooks that the Application Management software will leverage to achieve its cross-platform, application-agnostic functionality.

Through support of these universal technical building blocks, applications running on various, but common operating systems, databases, and application frameworks can be readily supported within the next generation of Application Management software.

These hooks exist in both legacy and next-gen applications, and allow application-agnostic management via this framework, versus API-level integration to support each specific application.

2. Stateful Awareness of the Application

Through a combination of built-in application-centric monitor types, the new generation of Application Management software will be aware of how an application is behaving, whether it is up, down, or partially impaired, including what parts of an application are impacted.

But just knowing the individual processes are working isn’t enough. There are lots of great monitors out there, but often they are very specific and require detailed knowledge to interpret. Classic APM tools can tell you down to the line of code how things are working, but what about the entire application? The trick is to consolidate all these monitors into a single view that represents the total health of the application and turn it into actionable information.

At a glance visibility is not about gathering and analyzing reams of performance data. In fact, when you’re trying to establish the health of the system, there is such a thing as “too much data.” The key is to boil that data down to “what to do about it to ensure services,” by leveraging multiple monitor types and points of view to derive true health and impact. And most importantly, what to do about it when things go awry.

3. Understanding of the Application’s Architecture, Components and Related Dependencies

Application Management software will associate application components with an understanding of the appropriate technical steps, in sequence, that are required to gracefully start or stop all, or parts of an application, in the context of its underlying IT infrastructure, in order to recover from, or work-around underlying issues impacting application operation.

4. Secure, Policy-Driven Action

The next generation of Application Management software will be managed by configurable business rules, in conjunction with operational context of the given state of an application. This ensures that the software will only drive the appropriate and prescribed steps in order to get an application to a defined “best-state” in the face of virtually any issue, or combination of issues. This ensures that an organization’s best practices will be uniformly and systematically applied to recover from application issues, negating the likelihood of human error.

5. Lightweight and User-Friendly — So It’s Practical and Cost-Effective to Deploy and Use

Just as importantly as the elegant engineering that goes into this application-centric Application Management tool is that it can be deployed quickly and made immediately available to all users without weeks of training, an army of consultants and hundreds of thousands or millions of dollars in customization. In other words, can I do it quickly, can I do it cheaply and will my staff actually be able to use it?

In essence, Application Management software should:

• Systematically enforce and/or automate an organizations’ best practices, in the context of the situation

• Incorporate an understanding of the technically correct approach

• Have full awareness on an app, or multiple apps

• Build in the model of “what would your people do” in this situation

These combined elements will enable Application Management software to intelligently identify and respond to any issue, or any series of complex events, resulting in rapid application recovery and service continuity. This includes items ranging from complete disaster recovery of an entire application, remediation of a failed application component or providing an automated notification of performance degradation within an application.

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 ...