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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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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

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...

When most people think about cybersecurity, they picture firewalls, encryption, and access controls — technical tools designed to protect systems and data. But beneath the technology lies a deeper set of principles about trust, decision-making, and resilience ... The best leaders don't eliminate risk. They manage it intelligently. And in many ways, cybersecurity offers a surprisingly useful playbook for doing exactly that ...