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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

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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

Delivering Deep Insights Into End User Quality of Experience

Hot Topics

The Latest

Two years ago, almost every customer conversation about AI started with the same questions: Which model should we use? What can it do? Is it ready for the enterprise? Today, those discussions have moved on. CIOs are far more interested in how to govern AI, integrate it with existing systems, prepare their workforce and make it part of everyday operations. The challenge is no longer to prove that AI can deliver value. It's instead about how to embed AI into the business in a way that's secure, scalable and delivers measurable outcomes ...

 

Two things happened to production incidents between 2023 and now, and they did not happen at the same speed. The first is that a class of dependency that barely existed three years ago now accounts for one incident in ten. Incidents disclosed by AI model and AI application providers rose from 1.7% of all disclosed unplanned incidents in 2023 to 10.7% in 2026 year to date, roughly a sixfold rise; that counts only incidents at AI companies themselves, so the true share is higher. The second is that the time to close an incident has not come down ...

When an AI assistant gives an incomplete or incorrect answer, teams often blame the model. They adjust prompts, switch models, increase context windows or test a new retrieval strategy. However the model may not be a problem. In many enterprise AI workflows, the problem begins inside the document-ingestion pipeline ...

If you talk to any security or observability teams right now, they're all fighting the same fire: their tooling was built to ingest X, but their sources are pumping Y and soon to be doing Z. The knee-jerk reaction is always the same: we need more platform. However, this reaction is wrong. Let me explain why, because the solution to this problem is foundational, not financial. Instead of hurling yet more money at the problem, make sure you've done what's needed upstream ...

Rapid AI adoption and the unique ways AI workloads operate is redefining the scope and structure of what these teams must deliver. This shift is forcing organizations to rethink how they manage scale, automation, and control, according to The State of SRE and Platform Engineering 2026, a new report from Dynatrace ...

AI is usually talked about as a software tool, but it also depends heavily on the network behind it. Whether a company is using AI for chatbots, automation, monitoring, analytics, or employee support, all of that information has to move across the network in a reliable and secure way. That means AI is not just an application decision. It is also an infrastructure decision. Before organizations rush into AI, they should ask a simple question: Is our network ready to support it? ...

Enterprise AI often lacks governed access to where business processes actually execute. Without that access, AI agents may be able to reason, but they cannot operate reliably across enterprise workflows. For AI agents to effectively carry out workflows, they will require integration-layer context and controls. Organizations can implement these prerequisites by providing AI with managed access to the middleware layer ...

Enterprise networks rarely behave the same way for very long. A routing adjustment in one region may unexpectedly alter application performance in another. A cloud migration may introduce hidden dependencies that go unnoticed until an outage occurs. All the while, the network is managed by several different teams, each of whom use different tool sets — and as a result, have different views of the network ... There’s usually an engineer who remembers why traffic fails over a certain way between sites, or which transparent firewall was added where. The problem is that human memory cannot scale alongside enterprise-scale networks ...

Ask an infrastructure team how confident they are in their ability to govern AI, and most will tell you they've got it handled. A recent survey of 406 IT decision-makers and platform engineering leaders found 86% expressing exactly that confidence. Ask the same group whether they have a formal written AI governance policy, and the number drops to 30%, according to Spacelift's Infrastructure Automation Report ...

In MEAN TIME TO INSIGHT Episode 27, Shamus McGillicuddy, EMA VP of Research, Network Infrastructure and Operations, and Parker Hathcock, EMA Research Director covering IT Service/Operations (ServiceOps), discuss observability unification in modern IT operations ...