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How Fluent Are You In Application-Aware Network Performance Management?

Nik Koutsoukos

Your enterprise network — and all the applications running on it — is the foundation for how every single employee gets his or her work done. E-mail, VoIP, CRM, ERP and every other custom or off-the-shelf application runs on your network. In order to provide these applications to end-users, more enterprises are adopting a hybrid enterprise model that incorporates a mix of on-premises and cloud-hosted apps, and of networks comprised of private, public Internet infrastructure.

This makes monitoring applications and network performance a lot more challenging, more time-consuming and therefore costlier for IT. Add in the need to maintain security and data integrity as user access and devices become increasingly diverse and staying on top of monitoring becomes extremely difficult. Achieving full end-to-end visibility requires implementing a holistic systems-based approach that provides all end-users at all locations with a reliable, secure and cost-efficient network and application experience. Moreover, determining whether or not you have this level of visibility requires you to first assess your "fluency" in application-aware network performance management.

Even as the sheer number of systems, devices, applications and endpoints IT must manage skyrockets, one thing remains unchanged: the best call or email from an end-user is the one that never comes. Users satisfied with performance and availability do not complain, but they won’t hesitate to do so as soon as something goes wrong. Simultaneously, they constantly increase the pressure on IT by demanding instant access and consistent application performance irrespective of their access device or their location. These complexities create serious risks to network uptime, information and data security, and regulatory compliance.

This leads us to a key question you must ask yourself when determining whether you have the necessary visibility into your network and all the applications running on it: "Do I know what I need to monitor?"

IDC finds that most organizations simply don’t know the types of applications, number of devices, or traffic sources on their enterprise networks (Source: IDC - Realizing Business Value and ROI with Application-Aware Network Performance Management July 2012. Overcoming that problem requires implementing a solution that provides multiple unified views of the network, application traffic, and actual end-user experience, and one that also conducts its own discovery, dependency mapping, and behavioral analysis. The goal is to be able to answer the following:

■ What’s on your network?

■ Who’s using it?

■ How are they using it?

■ Where are they accessing it?

■ When did this all take place?

Is "Performance" in Your Vocabulary?

If you are able to confidently answer all of the above questions then you are mostly there, but another critical factor to consider is whether you’re providing the levels of performance your end-users require.

The pervasive virtualization of data center resources combined with availability of APIs to control those resources, make a software-defined data center a possibility. This combination of virtualization and APIs allow for greater agility and improved efficiency, as data centers can now deliver the right resources at the right time.

Ensuring applications perform requires an understanding of three key requirements:

Visibility into layers of virtualization: Virtualization introduces layers of abstraction that can hide the details of what’s happening to an application. As physical systems get carved up into logical units, information about the physical system alone is insufficient. You need the ability to isolate performance issues within virtualized and physical environments.

Application performance infrastructure must also be virtualized: Pervasive virtualization is at the foundation of the software-defined data center. This improves utilization and reduces capital and operating costs. To maximize efficiency across your data center, you need virtual application delivery controllers, storage delivery controllers, WAN optimization controllers, and other application performance infrastructure.

API access to application performance infrastructure: In a software-defined data center, infrastructure is accessible and configurable through lines of code. That requires all components of your data center, including application performance infrastructure, to have APIs. APIs allow programmers to define what services are needed in their code, as well as integrate infrastructure with orchestration systems.

In summary, you must have the visibility to understand how specific users and events behave in order to ensure performance and quickly locate the root cause of any problem across the network. When an end user calls the help desk and reports that the network is slow, he or she won’t be able to help you identify which of any number of factors is hurting network performance. Network visibility and contextual tools usually reduce the number of calls and always reduce the amount of time to address the situation. Easy-to-use dashboards that clearly identify the source of the problem are a must-have in order to ensure your fluency in the complicated language of application-aware network performance management. Fortunately for enterprises today, a host of tools are now readily available, making it easier to become fluent in application-aware network performance management.

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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 ...

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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 ...

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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 ...

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How Fluent Are You In Application-Aware Network Performance Management?

Nik Koutsoukos

Your enterprise network — and all the applications running on it — is the foundation for how every single employee gets his or her work done. E-mail, VoIP, CRM, ERP and every other custom or off-the-shelf application runs on your network. In order to provide these applications to end-users, more enterprises are adopting a hybrid enterprise model that incorporates a mix of on-premises and cloud-hosted apps, and of networks comprised of private, public Internet infrastructure.

This makes monitoring applications and network performance a lot more challenging, more time-consuming and therefore costlier for IT. Add in the need to maintain security and data integrity as user access and devices become increasingly diverse and staying on top of monitoring becomes extremely difficult. Achieving full end-to-end visibility requires implementing a holistic systems-based approach that provides all end-users at all locations with a reliable, secure and cost-efficient network and application experience. Moreover, determining whether or not you have this level of visibility requires you to first assess your "fluency" in application-aware network performance management.

Even as the sheer number of systems, devices, applications and endpoints IT must manage skyrockets, one thing remains unchanged: the best call or email from an end-user is the one that never comes. Users satisfied with performance and availability do not complain, but they won’t hesitate to do so as soon as something goes wrong. Simultaneously, they constantly increase the pressure on IT by demanding instant access and consistent application performance irrespective of their access device or their location. These complexities create serious risks to network uptime, information and data security, and regulatory compliance.

This leads us to a key question you must ask yourself when determining whether you have the necessary visibility into your network and all the applications running on it: "Do I know what I need to monitor?"

IDC finds that most organizations simply don’t know the types of applications, number of devices, or traffic sources on their enterprise networks (Source: IDC - Realizing Business Value and ROI with Application-Aware Network Performance Management July 2012. Overcoming that problem requires implementing a solution that provides multiple unified views of the network, application traffic, and actual end-user experience, and one that also conducts its own discovery, dependency mapping, and behavioral analysis. The goal is to be able to answer the following:

■ What’s on your network?

■ Who’s using it?

■ How are they using it?

■ Where are they accessing it?

■ When did this all take place?

Is "Performance" in Your Vocabulary?

If you are able to confidently answer all of the above questions then you are mostly there, but another critical factor to consider is whether you’re providing the levels of performance your end-users require.

The pervasive virtualization of data center resources combined with availability of APIs to control those resources, make a software-defined data center a possibility. This combination of virtualization and APIs allow for greater agility and improved efficiency, as data centers can now deliver the right resources at the right time.

Ensuring applications perform requires an understanding of three key requirements:

Visibility into layers of virtualization: Virtualization introduces layers of abstraction that can hide the details of what’s happening to an application. As physical systems get carved up into logical units, information about the physical system alone is insufficient. You need the ability to isolate performance issues within virtualized and physical environments.

Application performance infrastructure must also be virtualized: Pervasive virtualization is at the foundation of the software-defined data center. This improves utilization and reduces capital and operating costs. To maximize efficiency across your data center, you need virtual application delivery controllers, storage delivery controllers, WAN optimization controllers, and other application performance infrastructure.

API access to application performance infrastructure: In a software-defined data center, infrastructure is accessible and configurable through lines of code. That requires all components of your data center, including application performance infrastructure, to have APIs. APIs allow programmers to define what services are needed in their code, as well as integrate infrastructure with orchestration systems.

In summary, you must have the visibility to understand how specific users and events behave in order to ensure performance and quickly locate the root cause of any problem across the network. When an end user calls the help desk and reports that the network is slow, he or she won’t be able to help you identify which of any number of factors is hurting network performance. Network visibility and contextual tools usually reduce the number of calls and always reduce the amount of time to address the situation. Easy-to-use dashboards that clearly identify the source of the problem are a must-have in order to ensure your fluency in the complicated language of application-aware network performance management. Fortunately for enterprises today, a host of tools are now readily available, making it easier to become fluent in application-aware network performance management.

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 ...