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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

The Latest

I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

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 ...

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

I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

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 ...