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Real-Time IT Visibility Through Integration for Efficient Application Performance Management

Suvish Viswanathan

Though Application Performance Management (APM) has been in use for a long time, you all must have observed a sudden rise in the usage of APM from the past few years. Earlier the industry was all going gung-ho about several other topics including Business Service Management (BSM). BSM includes managing your business-critical services with an ITIL twist. Here I am not trying to be anti-BSM but in today's challenging economy, where expectations from IT to deliver and cater to businesses is higher than ever, it is imperative to manage your business-critical applications by keeping the end-user experience in consideration.

We have seen several outages in the past year. There was RIM's major outage, Amazon's IaaS division has gone down couple of times, and several other small outages that have happened. What do all these outages have in common? IT is the first to get blamed. And why shouldn't it? It's IT that gave confidence to businesses to deliver, and when it fails no one else is to take the blame.

Digging deeper into these outages, one can come to an easy conclusion of lack-of-visibility that resulted in taking wrong decisions based on assumptions. Apart from the businesses’ losses, who loses the most? It's the end users who put their trust in the application.

The Art of Realizing Efficient APM

When APM was introduced, it was just used to monitor and manage applications. Today, however, it has become more complex. Today APM is a type of system-management application which focuses on monitoring and managing resources that in turn determine the health and availability of all Web and non-Web-based business-critical applications. We could say that virtualization and cloud has enhanced the efficiency and productivity of IT.

However, we also cannot deny the fact that it has also brought in a huge management complexity. Amidst this complexity APM cannot just be about dashboards with green and red lights showing availability of resources. Today an application is inter-linked with hundreds of other devices.

Efficient APM is all about giving insights into the inter-dependency of all devices and showing various business transactions that are taking place to realize what an end-user is experiencing. Here I remember one of my previous blogs on the 5 dimensions of APM. At the end of the day, the ultimate goal is to create systems that are robust and can give real-time visibility into events and transactions that are in progress or complete.

Integration and APM

One of the major (and most common problems) I have observed is the lack of visibility into the IT infrastructure. This leads to not being able to prioritize events based on their importance to business. An effective APM strategy allows organizations to view the impact on businesses and map them to different transactions. But how can one adapt an efficient APM process when different monitoring solutions are being used?

Unless IT operations and IT service management are brought together it’s nearly impossible to analyze the following:

- Which component is impacting what applications

- How various transactions are being experienced by end-users

- What’s the SLA breach with status of various technicians who have been assigned to manage tickets

Yes, I am talking about that holistic solution which will give you visibility into all that is happening in the real-time IT environment on a single console.

Such solutions will:

- Enhance productivity and efficiency between teams

- Help in prioritizing events that have an impact on business transactions and can be viewed with interdependency mapping

- Allow proactive monitoring and management of systems as thresholds set for one application will take care of all the other underlying configured-system components

- Enhance the end-user experience as visibility allows in optimizing the resource-allocation process

- Allow accurate decisions to happen as KPIs will indicate the overall performance and with integrated CMDB and other ITIL processes like Change and Incident management. This makes decisions even easier as all data related to configurable items are stored in a single location

- Optimize budget allocation and management

A complete APM strategy and solution offers benefits that are measurable. The result is an agile and productive environment. This allows enterprises to break IT silos and view IT as a single entity. Organizations can concentrate more on innovations that make end-users lives easy, than falling behind in fixing system issues.

Suvish Viswanathan is Sr. Research Analyst, Integrated IT Management, for ManageEngine.

Related Links:

www.ManageEngine.com

5 dimensions of APM

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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.

Real-Time IT Visibility Through Integration for Efficient Application Performance Management

Suvish Viswanathan

Though Application Performance Management (APM) has been in use for a long time, you all must have observed a sudden rise in the usage of APM from the past few years. Earlier the industry was all going gung-ho about several other topics including Business Service Management (BSM). BSM includes managing your business-critical services with an ITIL twist. Here I am not trying to be anti-BSM but in today's challenging economy, where expectations from IT to deliver and cater to businesses is higher than ever, it is imperative to manage your business-critical applications by keeping the end-user experience in consideration.

We have seen several outages in the past year. There was RIM's major outage, Amazon's IaaS division has gone down couple of times, and several other small outages that have happened. What do all these outages have in common? IT is the first to get blamed. And why shouldn't it? It's IT that gave confidence to businesses to deliver, and when it fails no one else is to take the blame.

Digging deeper into these outages, one can come to an easy conclusion of lack-of-visibility that resulted in taking wrong decisions based on assumptions. Apart from the businesses’ losses, who loses the most? It's the end users who put their trust in the application.

The Art of Realizing Efficient APM

When APM was introduced, it was just used to monitor and manage applications. Today, however, it has become more complex. Today APM is a type of system-management application which focuses on monitoring and managing resources that in turn determine the health and availability of all Web and non-Web-based business-critical applications. We could say that virtualization and cloud has enhanced the efficiency and productivity of IT.

However, we also cannot deny the fact that it has also brought in a huge management complexity. Amidst this complexity APM cannot just be about dashboards with green and red lights showing availability of resources. Today an application is inter-linked with hundreds of other devices.

Efficient APM is all about giving insights into the inter-dependency of all devices and showing various business transactions that are taking place to realize what an end-user is experiencing. Here I remember one of my previous blogs on the 5 dimensions of APM. At the end of the day, the ultimate goal is to create systems that are robust and can give real-time visibility into events and transactions that are in progress or complete.

Integration and APM

One of the major (and most common problems) I have observed is the lack of visibility into the IT infrastructure. This leads to not being able to prioritize events based on their importance to business. An effective APM strategy allows organizations to view the impact on businesses and map them to different transactions. But how can one adapt an efficient APM process when different monitoring solutions are being used?

Unless IT operations and IT service management are brought together it’s nearly impossible to analyze the following:

- Which component is impacting what applications

- How various transactions are being experienced by end-users

- What’s the SLA breach with status of various technicians who have been assigned to manage tickets

Yes, I am talking about that holistic solution which will give you visibility into all that is happening in the real-time IT environment on a single console.

Such solutions will:

- Enhance productivity and efficiency between teams

- Help in prioritizing events that have an impact on business transactions and can be viewed with interdependency mapping

- Allow proactive monitoring and management of systems as thresholds set for one application will take care of all the other underlying configured-system components

- Enhance the end-user experience as visibility allows in optimizing the resource-allocation process

- Allow accurate decisions to happen as KPIs will indicate the overall performance and with integrated CMDB and other ITIL processes like Change and Incident management. This makes decisions even easier as all data related to configurable items are stored in a single location

- Optimize budget allocation and management

A complete APM strategy and solution offers benefits that are measurable. The result is an agile and productive environment. This allows enterprises to break IT silos and view IT as a single entity. Organizations can concentrate more on innovations that make end-users lives easy, than falling behind in fixing system issues.

Suvish Viswanathan is Sr. Research Analyst, Integrated IT Management, for ManageEngine.

Related Links:

www.ManageEngine.com

5 dimensions of APM

Delivering Deep Insights Into End User Quality of Experience

Hot Topics

The Latest

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

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.