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2016 Application Performance Management Predictions - Part 4

Industry experts — from analysts and consultants to users and the top vendors — offer thoughtful, insightful, and often controversial predictions on how APM and related technologies will evolve and impact business in 2016. Part 4 covers networking and NPM (Network Performance Management).

Start with 2016 Application Performance Management Predictions - Part 1

Start with 2016 Application Performance Management Predictions - Part 2

Start with 2016 Application Performance Management Predictions - Part 3

INTEGRATING APM AND NPM

APM providers have almost uniformly focused on the application and application stack for performance management. As applications become more service-oriented, often times splitting apps between different data centers, or with a hybrid approach between a between a traditional data center and the cloud--network becomes a key to application performance. This is particularly true for the largest organizations where they are moving single applications or parts of applications out of their standard data centers and into the cloud. And of course the end user sits at the other end of a potentially very wide network. The key question for IT and DevOps will be: how can I get visibility into application performance when my infrastructure and user base are distributed? 2016 will be the year we'll see APM move to measure both application and network performance from the end user, through the network, to the application, down to the code.
Dan Kuebrich
CTO, AppNeta

APM is becoming a key and integral part of the management and orchestration of virtualized network architectures designed to deliver agility and elasticity to application services. SDN and NFV along with cloud technologies are advancing to the point where APM capabilities are essential. APM needs to be integrated into the analytics, heuristics, orchestration, and automation necessary to create the self-aware, self-healing, closed loop network ecosystem. Expect to see more consolidation and integration of the APM marketplace with the more traditional network management community.
Frank Yue
Director of Application Delivery Solutions, Radware

2016 could finally be the right time for the large portion of application performance that's dependent on the efficiency of the network interconnecting the many servers involved in delivering typical enterprise application services to be realistically included in the overall APM monitoring picture. This will necessitate the inclusion of active network path discovery and change monitoring as the inherent redundancy in modern networks leads to a lack of clarity in determining which devices, ports and links are actually responsible for providing the server, hypervisor and VM interconnections at any given time. This has been largely ignored by the monitoring industry till now because it's a difficult nut to crack and many of the attempted approaches to address it have proved unwieldy and prohibitively expensive to deploy. Recent breakthroughs have opened the door to plugging this gap in the APM story.
John Diamond
Principal Solutions Architect, Entuity

INTEGRATING APM, NPM AND SECURITY

Over the last five years, the lines between APM, NPM, and security have become sharper, with separate disciplines, analyses, and implementation. This independence has led to rapid improvements in user-perceivable performance and in infrastructure efficiency at some cost in complexity and security. In 2016, there will be new connections between the management of applications, networking, and security, enabling each of them to make essential contributions to the critical business requirement of "secure application performance."
Larry Zulch
President, Savvius

AANPM PROVIDES A NETWORK-LEVEL PERSPECTIVE

Application-aware network performance management will move away from starting at the per-user or device-by-device level to beginning with the entire network level, then identifying end-user performance issues from inside or outside of the enterprise, and following guided workflows for analysis and mediation.
Ulrica de Fort-Menarees
VP of Product Strategy, LiveAction

SDN WILL NOT CATCH ON YET

I predict that, despite the considerable hype, SDN will continue to not have a real effect on our user base. While we received many inquiries from customers about SDN and how to monitor it, SDN adoption is and will remain slow, especially at small and midsized companies. Implementing SDN means completely restructuring the existing IT infrastructure. Personnel have to be trained and "old" hardware must be updated, which comes at a significant cost. A project of this scope would certainly interfere with regular business processes for a long while, and at a questionable gain. While large enterprises may go down this path, with the benefit of large IT teams and external consultants, it is not feasible for most. In the same way that other IT trends have been absorbed over the years, so will SDN. Perhaps years from now, IT leaders at smaller companies will begin to think seriously about SDN. By that time, the cost-benefit analysis may make more sense than it does today. But for 2016, SDN enthusiasts will still have to wait.
Dirk Paessler
CEO, Paessler AG

Software-defined networks (SDN) will continue to be discussed, debated, and highly regarded, but it will still not be broadly implemented. In fact, the same traditional network hardware that worked in 2015 will continue to work in 2016.
Johnnie Konstantas
Director, Security Solutions Marketing & Business Development, Gigamon

MONITORING-AWARE NETWORKS COME ONLINE

SDN has matured significantly over the past few years, and among our customers and others we're starting to see it gain real traction. The next evolution of SDN is monitoring-aware networks. As demand for greater visibility into these networks escalates, expect to see hardware-agnostic vendors build commodity capture interfaces directly into device firmwares, enabling much easier, more agile monitoring of these complex and dynamic architectures.
Eric Thomas
Director of Solutions Architecture, ExtraHop

APM TAKES ON HYBRID IT

Hybrid IT has gone mainstream thanks to the distributed architecture's lowered capex and greater service agility. But the real challenge will come in 2016 as IT teams look for ways to ensure the new complexities that arise with hybrid IT do not negatively impact service delivery. In 2016, application performance management solutions will need to integrate monitoring capabilities that validate acceptable customer-experience metrics and reduce Mean Time to Resolution when anomalies do occur, independent of host location. Examples of new capabilities include combining cloud-based operational metrics from vendors like AWS with packet-level data from the network links that connect them to internally hosted system and end-users to ensure peak performance is achieved. Companies have undoubtedly now embraced the vision of "anywhere IT" resource deployment: legacy, cloud, and everything in between. The benefits and cost-savings are there for the taking but without the correct visibility into the infrastructure, enterprises will never realize the full benefits of hybrid IT.
Brad Reinboldt
Senior Product Manager, Viavi Solutions

Read 2016 Application Performance Management Predictions - Part 5, the final installment.

Hot Topics

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As discussions around AI "autonomous coworkers" accelerate, many industry projections assume that agents will soon operate alongside human staff in making decisions, taking actions, and managing tasks with minimal oversight. But a growing number of critics (including some of the developers building these systems) argue that the industry still has a long way to go to be able to treat AI agents like fully trusted teammates ...

Enterprise AI has entered a transformational phase where, according to Digitate's recently released survey, Agentic AI and the Future of Enterprise IT, companies are moving beyond traditional automation toward Agentic AI systems designed to reason, adapt, and collaborate alongside human teams ...

The numbers back this urgency up. A recent Zapier survey shows that 92% of enterprises now treat AI as a top priority. Leaders want it, and teams are clamoring for it. But if you look closer at the operations of these companies, you see a different picture. The rollout is slow. The results are often delayed. There's a disconnect between what leaders want and what their technical infrastructure can handle ...

Kyndryl's 2025 Readiness Report revealed that 61% of global business and technology leaders report increasing pressure from boards and regulators to prove AI's ROI. As the technology evolves and expectations continue to rise, leaders are compelled to generate and prove impact before scaling further. This will lead to a decisive turning point in 2026 ...

Cloudflare's disruption illustrates how quickly a single provider's issue cascades into widespread exposure. Many organizations don't fully realize how tightly their systems are coupled to thirdparty services, or how quickly availability and security concerns align when those services falter ... You can't avoid these dependencies, but you can understand them ...

If you work with AI, you know this story. A model performs during testing, looks great in early reviews, works perfectly in production and then slowly loses relevance after operating for a while. Everything on the surface looks perfect — pipelines are running, predictions or recommendations are error-free, data quality checks show green; yet outcomes don't meet the ground reality. This pattern often repeats across enterprise AI programs. Take for example, a mid-sized retail banking and wealth-management firm with heavy investments in AI-powered risk analytics, fraud detection and personalized credit-decisioning systems. The model worked well for a while, but transactions increased, so did false positives by 18% ...

Basic uptime is no longer the gold standard. By 2026, network monitoring must do more than report status, it must explain performance in a hybrid-first world. Networks are no longer just static support systems; they are agile, distributed architectures that sit at the very heart of the customer experience and the business outcomes ... The following five trends represent the new standard for network health, providing a blueprint for teams to move from reactive troubleshooting to a proactive, integrated future ...

APMdigest's Predictions Series concludes with 2026 AI Predictions — industry experts offer predictions on how AI and related technologies will evolve and impact business in 2026. Part 5, the final installment, covers AI's impacts on IT teams ...

APMdigest's Predictions Series concludes with 2026 AI Predictions — industry experts offer predictions on how AI and related technologies will evolve and impact business in 2026. Part 4 covers negative impacts of AI ...

APMdigest's Predictions Series concludes with 2026 AI Predictions — industry experts offer predictions on how AI and related technologies will evolve and impact business in 2026. Part 3 covers barriers and challenges for AI ...

2016 Application Performance Management Predictions - Part 4

Industry experts — from analysts and consultants to users and the top vendors — offer thoughtful, insightful, and often controversial predictions on how APM and related technologies will evolve and impact business in 2016. Part 4 covers networking and NPM (Network Performance Management).

Start with 2016 Application Performance Management Predictions - Part 1

Start with 2016 Application Performance Management Predictions - Part 2

Start with 2016 Application Performance Management Predictions - Part 3

INTEGRATING APM AND NPM

APM providers have almost uniformly focused on the application and application stack for performance management. As applications become more service-oriented, often times splitting apps between different data centers, or with a hybrid approach between a between a traditional data center and the cloud--network becomes a key to application performance. This is particularly true for the largest organizations where they are moving single applications or parts of applications out of their standard data centers and into the cloud. And of course the end user sits at the other end of a potentially very wide network. The key question for IT and DevOps will be: how can I get visibility into application performance when my infrastructure and user base are distributed? 2016 will be the year we'll see APM move to measure both application and network performance from the end user, through the network, to the application, down to the code.
Dan Kuebrich
CTO, AppNeta

APM is becoming a key and integral part of the management and orchestration of virtualized network architectures designed to deliver agility and elasticity to application services. SDN and NFV along with cloud technologies are advancing to the point where APM capabilities are essential. APM needs to be integrated into the analytics, heuristics, orchestration, and automation necessary to create the self-aware, self-healing, closed loop network ecosystem. Expect to see more consolidation and integration of the APM marketplace with the more traditional network management community.
Frank Yue
Director of Application Delivery Solutions, Radware

2016 could finally be the right time for the large portion of application performance that's dependent on the efficiency of the network interconnecting the many servers involved in delivering typical enterprise application services to be realistically included in the overall APM monitoring picture. This will necessitate the inclusion of active network path discovery and change monitoring as the inherent redundancy in modern networks leads to a lack of clarity in determining which devices, ports and links are actually responsible for providing the server, hypervisor and VM interconnections at any given time. This has been largely ignored by the monitoring industry till now because it's a difficult nut to crack and many of the attempted approaches to address it have proved unwieldy and prohibitively expensive to deploy. Recent breakthroughs have opened the door to plugging this gap in the APM story.
John Diamond
Principal Solutions Architect, Entuity

INTEGRATING APM, NPM AND SECURITY

Over the last five years, the lines between APM, NPM, and security have become sharper, with separate disciplines, analyses, and implementation. This independence has led to rapid improvements in user-perceivable performance and in infrastructure efficiency at some cost in complexity and security. In 2016, there will be new connections between the management of applications, networking, and security, enabling each of them to make essential contributions to the critical business requirement of "secure application performance."
Larry Zulch
President, Savvius

AANPM PROVIDES A NETWORK-LEVEL PERSPECTIVE

Application-aware network performance management will move away from starting at the per-user or device-by-device level to beginning with the entire network level, then identifying end-user performance issues from inside or outside of the enterprise, and following guided workflows for analysis and mediation.
Ulrica de Fort-Menarees
VP of Product Strategy, LiveAction

SDN WILL NOT CATCH ON YET

I predict that, despite the considerable hype, SDN will continue to not have a real effect on our user base. While we received many inquiries from customers about SDN and how to monitor it, SDN adoption is and will remain slow, especially at small and midsized companies. Implementing SDN means completely restructuring the existing IT infrastructure. Personnel have to be trained and "old" hardware must be updated, which comes at a significant cost. A project of this scope would certainly interfere with regular business processes for a long while, and at a questionable gain. While large enterprises may go down this path, with the benefit of large IT teams and external consultants, it is not feasible for most. In the same way that other IT trends have been absorbed over the years, so will SDN. Perhaps years from now, IT leaders at smaller companies will begin to think seriously about SDN. By that time, the cost-benefit analysis may make more sense than it does today. But for 2016, SDN enthusiasts will still have to wait.
Dirk Paessler
CEO, Paessler AG

Software-defined networks (SDN) will continue to be discussed, debated, and highly regarded, but it will still not be broadly implemented. In fact, the same traditional network hardware that worked in 2015 will continue to work in 2016.
Johnnie Konstantas
Director, Security Solutions Marketing & Business Development, Gigamon

MONITORING-AWARE NETWORKS COME ONLINE

SDN has matured significantly over the past few years, and among our customers and others we're starting to see it gain real traction. The next evolution of SDN is monitoring-aware networks. As demand for greater visibility into these networks escalates, expect to see hardware-agnostic vendors build commodity capture interfaces directly into device firmwares, enabling much easier, more agile monitoring of these complex and dynamic architectures.
Eric Thomas
Director of Solutions Architecture, ExtraHop

APM TAKES ON HYBRID IT

Hybrid IT has gone mainstream thanks to the distributed architecture's lowered capex and greater service agility. But the real challenge will come in 2016 as IT teams look for ways to ensure the new complexities that arise with hybrid IT do not negatively impact service delivery. In 2016, application performance management solutions will need to integrate monitoring capabilities that validate acceptable customer-experience metrics and reduce Mean Time to Resolution when anomalies do occur, independent of host location. Examples of new capabilities include combining cloud-based operational metrics from vendors like AWS with packet-level data from the network links that connect them to internally hosted system and end-users to ensure peak performance is achieved. Companies have undoubtedly now embraced the vision of "anywhere IT" resource deployment: legacy, cloud, and everything in between. The benefits and cost-savings are there for the taking but without the correct visibility into the infrastructure, enterprises will never realize the full benefits of hybrid IT.
Brad Reinboldt
Senior Product Manager, Viavi Solutions

Read 2016 Application Performance Management Predictions - Part 5, the final installment.

Hot Topics

The Latest

As discussions around AI "autonomous coworkers" accelerate, many industry projections assume that agents will soon operate alongside human staff in making decisions, taking actions, and managing tasks with minimal oversight. But a growing number of critics (including some of the developers building these systems) argue that the industry still has a long way to go to be able to treat AI agents like fully trusted teammates ...

Enterprise AI has entered a transformational phase where, according to Digitate's recently released survey, Agentic AI and the Future of Enterprise IT, companies are moving beyond traditional automation toward Agentic AI systems designed to reason, adapt, and collaborate alongside human teams ...

The numbers back this urgency up. A recent Zapier survey shows that 92% of enterprises now treat AI as a top priority. Leaders want it, and teams are clamoring for it. But if you look closer at the operations of these companies, you see a different picture. The rollout is slow. The results are often delayed. There's a disconnect between what leaders want and what their technical infrastructure can handle ...

Kyndryl's 2025 Readiness Report revealed that 61% of global business and technology leaders report increasing pressure from boards and regulators to prove AI's ROI. As the technology evolves and expectations continue to rise, leaders are compelled to generate and prove impact before scaling further. This will lead to a decisive turning point in 2026 ...

Cloudflare's disruption illustrates how quickly a single provider's issue cascades into widespread exposure. Many organizations don't fully realize how tightly their systems are coupled to thirdparty services, or how quickly availability and security concerns align when those services falter ... You can't avoid these dependencies, but you can understand them ...

If you work with AI, you know this story. A model performs during testing, looks great in early reviews, works perfectly in production and then slowly loses relevance after operating for a while. Everything on the surface looks perfect — pipelines are running, predictions or recommendations are error-free, data quality checks show green; yet outcomes don't meet the ground reality. This pattern often repeats across enterprise AI programs. Take for example, a mid-sized retail banking and wealth-management firm with heavy investments in AI-powered risk analytics, fraud detection and personalized credit-decisioning systems. The model worked well for a while, but transactions increased, so did false positives by 18% ...

Basic uptime is no longer the gold standard. By 2026, network monitoring must do more than report status, it must explain performance in a hybrid-first world. Networks are no longer just static support systems; they are agile, distributed architectures that sit at the very heart of the customer experience and the business outcomes ... The following five trends represent the new standard for network health, providing a blueprint for teams to move from reactive troubleshooting to a proactive, integrated future ...

APMdigest's Predictions Series concludes with 2026 AI Predictions — industry experts offer predictions on how AI and related technologies will evolve and impact business in 2026. Part 5, the final installment, covers AI's impacts on IT teams ...

APMdigest's Predictions Series concludes with 2026 AI Predictions — industry experts offer predictions on how AI and related technologies will evolve and impact business in 2026. Part 4 covers negative impacts of AI ...

APMdigest's Predictions Series concludes with 2026 AI Predictions — industry experts offer predictions on how AI and related technologies will evolve and impact business in 2026. Part 3 covers barriers and challenges for AI ...