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Integrated Performance Management for Physical, Virtual and Cloud Infrastructure

Arun Balachandran

Today's businesses increasingly use software applications that run in a wide variety of environments, everything from physical to virtual to cloud. As organizations look for ways to reduce costs, improve efficiency, and increase scalability, cloud computing and virtualization are playing a vital part in their IT strategies. However, these new technologies also present new challenges for organizations in the areas of application monitoring and application performance.

Traditional NSM Tools Don’t Work

Traditionally, most organizations have gone for a silo-based approach for application performance management. However, as more organizations adopt and experience the advantages of virtualization and cloud computing, they are realizing that this model is no longer practical.

Web-based applications are becoming the standard for both internal and external services. Most traditional tools monitor each component of an application or transaction individually, by picking up various segments of transactions without providing a unified view of the entire transaction flow. For example, the database tool tracks only the databases or the web services tool tracks only the web services, etc. without showing how they are interconnected within the complex infrastructure. So when an application slowdown occurs, these tools might not be able to pinpoint the root cause of the problem as they do not have end-to-end visibility into the transaction.

Moreover, the increasing proliferation of virtualization and cloud applications has added another layer of complexity to application performance management. Most businesses are finding out that their conventional monitoring tools do not have the necessary operational intelligence for monitoring complex virtual or cloud infrastructure. This is because the traditional approach focuses too much on the physical infrastructure alone.

Purchasing multiple performance management tools to monitor such different and constantly changing IT environments is not feasible either. These point tools introduce additional overhead, lack adequate integration and cannot perform in-depth application performance management.


A New Strategy for Monitoring in Physical, Virtual and Cloud Environments

So, how do you monitor application performance issues in a heterogeneous IT environment that is constantly evolving? What you need is a monitoring strategy that combines proactive monitoring of a hybrid set of applications and servers across physical, virtual and cloud environments.

An ideal application performance management strategy should include deep dive application component monitoring spanning across application servers, databases, servers, ERPs, middleware, web transactions, virtual machines, cloud services, etc. The IT team should have no difficulty in troubleshooting performance bottlenecks or tracking end user experience from across the world. They need the right kind of end-to-end visibility to see what’s working and what’s not across their IT environments.

Today’s IT Managers are expected to understand how specific IT services are affecting business operations, so the organization’s IT strategy should facilitate this to happen. The IT team must be able to troubleshoot problems quickly and effectively with minimal reliance on manual processes and guesswork. At the same time, the teams must be able to monitor compliance with service level agreements and ensure a high quality end-user experience.

By re-inventing their application performance management strategy, IT departments can be confident their services meet business goals.

Arun Balachandran is Sr. Market Analyst for ManageEngine.

Related Links:

www.manageengine.com

Arun Balachandran, Sr. Market Analyst for ManageEngine, Joins the APMdigest Vendor Forum

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Integrated Performance Management for Physical, Virtual and Cloud Infrastructure

Arun Balachandran

Today's businesses increasingly use software applications that run in a wide variety of environments, everything from physical to virtual to cloud. As organizations look for ways to reduce costs, improve efficiency, and increase scalability, cloud computing and virtualization are playing a vital part in their IT strategies. However, these new technologies also present new challenges for organizations in the areas of application monitoring and application performance.

Traditional NSM Tools Don’t Work

Traditionally, most organizations have gone for a silo-based approach for application performance management. However, as more organizations adopt and experience the advantages of virtualization and cloud computing, they are realizing that this model is no longer practical.

Web-based applications are becoming the standard for both internal and external services. Most traditional tools monitor each component of an application or transaction individually, by picking up various segments of transactions without providing a unified view of the entire transaction flow. For example, the database tool tracks only the databases or the web services tool tracks only the web services, etc. without showing how they are interconnected within the complex infrastructure. So when an application slowdown occurs, these tools might not be able to pinpoint the root cause of the problem as they do not have end-to-end visibility into the transaction.

Moreover, the increasing proliferation of virtualization and cloud applications has added another layer of complexity to application performance management. Most businesses are finding out that their conventional monitoring tools do not have the necessary operational intelligence for monitoring complex virtual or cloud infrastructure. This is because the traditional approach focuses too much on the physical infrastructure alone.

Purchasing multiple performance management tools to monitor such different and constantly changing IT environments is not feasible either. These point tools introduce additional overhead, lack adequate integration and cannot perform in-depth application performance management.


A New Strategy for Monitoring in Physical, Virtual and Cloud Environments

So, how do you monitor application performance issues in a heterogeneous IT environment that is constantly evolving? What you need is a monitoring strategy that combines proactive monitoring of a hybrid set of applications and servers across physical, virtual and cloud environments.

An ideal application performance management strategy should include deep dive application component monitoring spanning across application servers, databases, servers, ERPs, middleware, web transactions, virtual machines, cloud services, etc. The IT team should have no difficulty in troubleshooting performance bottlenecks or tracking end user experience from across the world. They need the right kind of end-to-end visibility to see what’s working and what’s not across their IT environments.

Today’s IT Managers are expected to understand how specific IT services are affecting business operations, so the organization’s IT strategy should facilitate this to happen. The IT team must be able to troubleshoot problems quickly and effectively with minimal reliance on manual processes and guesswork. At the same time, the teams must be able to monitor compliance with service level agreements and ensure a high quality end-user experience.

By re-inventing their application performance management strategy, IT departments can be confident their services meet business goals.

Arun Balachandran is Sr. Market Analyst for ManageEngine.

Related Links:

www.manageengine.com

Arun Balachandran, Sr. Market Analyst for ManageEngine, Joins the APMdigest Vendor Forum

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 ...