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2018 Application Performance Management Predictions - Part 2

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 2018. Part 2 covers ITIL, ITSM and more.

Start with 2018 Application Performance Management Predictions - Part 1

ITIL WILL BE CHALLENGED

ITIL's dominance within ITSM as the definitive best practice, will be challenged. Leaner, more lightweight and adaptable methodologies will offer alternatives that are more aligned with agile principles, and CI/CD patterns. In fact the definition of what constitutes ITSM itself may change, as DevOps engineers take their ethos of simplicity and efficiency into the ITSM space.
Richard Whitehead
Evangelist-in-Chief, Moogsoft

ITSM SHIFTS FOCUS AWAY FROM IT INFRASTRUCTURE

ITSM will continue its shift in focus away from IT infrastructure toward user-centered design. We expect a richer, more powerful user experience from ITSM-based applications — which will also mean breaking down the silos between ITSM and other functions to further deliver greater user centricity overall.
Jason Bloomberg
President, Intellyx

CHATBOTS AND VIRTUAL ASSISTANTS

In 2018, we will see an increased interest in chatbot technology, mostly from organizations that provide IT Service Management (ITSM). Chatbots powered with artificial intelligence will help ITSM organizations meet increasing demands fueled by the rapid adoption of IoT, and the growing interest by enterprise CIOs to implement more IoT applications over the next few years.
Marcel Shaw
Engineer, Federal Markets, Ivanti

With more than half (52%) of CIOs saying they are using machine learning and 40% planning to adopt this technology as well as increasing focus on customer experiences, I expect chatbots and virtual assistants to play a key role in helping businesses expedite improved end-user experience and reduce manual processes in the IT service desk. As the data quality AI/ML pulls from improves and the experience becomes "more human," these new technologies are primed to be an ITSM staple. Current technologies are already improving the speed and quality of IT service desk processes by automatically categorizing and routing requests, and we will continue to see innovation in this area in 2018.
Farrell Hough
VP and GM, IT Service Management, ServiceNow

UNIFICATION OF TOOLS

2018 is the year that IT organizations will have to redefine how they align with the business, while simultaneously having to roll out Windows 10, and continue to improve security. To manage, and do more in security, yet assign a larger amount of their budget to innovation at the same time, is a challenge. The solution: unification and automation of IT. For some years we have observed how the number of devices per user has been growing. With an increase in applications, platforms and the sheer number of OS and application updates, managing varying platforms using various toolsets from multiple vendors is becoming a bottleneck and costly experience for IT. Unification simply has to occur. As one example we see enterprise mobility management (EMM) and client management tools coming together, and more organizations reducing the number of vendors and technologies they use to manage their user estate.  The result will be unified endpoint management that is easier and more cost effective. We expect this unification to extend to asset management, networking and ITSM, as enterprises work to decrease the complexity of too many vendors, look beyond point solutions, and demand better integrated solutions from their vendors.
Simon Townsend
Chief Technologist, EMEA, Ivanti

TOOLS MUST DELIVER BUSINESS VALUE

I believe 2018 will be the year that technology prowess takes a back seat to value proposition. Leading vendors will simplify their marketing content and messaging to take the customer's perspective on value by answering only two questions for the customer: 1) "What's in it for me?"; and 2) "What makes you different?" This shifts the focus from horn-tooting to how the vendor's solution helps the customer achieve their business and risk management objectives most efficiently and cost effectively. The technology is already there.
Gabe Lowy
Technology Analyst and Founder of TechTonics Advisors

For a number of years, APM vendors have strived to ensure that they can ingest lots of data. But in 2018, those vendors that will get the press will be those who provide the ability to easily correlate this data with business-centric KPIs. Applications are critical to business success but ensuring technical performance is only the first step, enterprise IT has to be able to prove that every application and every release is driving business value.
John Rakowski
Director of Technology Strategy, AppDynamics

Democratization of APM

Microservices and containers are being used to speed deployment of new application functionality. In doing so, they are creating IT complexity that will force the democratization of application performance management to bridge the divide between Ops, Dev and SRE teams and improve communication for better quality of service. Modern, democratized APM will provide the deep knowledge and understanding into everything that makes up a dynamic application and ultimately helps the entire Ops team maintain service quality.
Mirko Novakovic
CEO, Instana

FOCUS ON IT OPS TEAM HEALTH

With increased pressure on ITOps to move quickly, and the growing tie between operations and the business bottom line, organizations should take a deeper look at the health of their team. By this I mean considering the human impact of ITOps demands and on-call life. Having ITOps teams paged 24/7 is not a sustainable practice, so it will be necessary for some organizations to reassess their triage and workflows to preserve infrastructure team health, ultimately helping with efficiency and retention.
Eric Sigler
Head of DevOps, PagerDuty

Read 2018 Application Performance Management Predictions - Part 3, covering APM and monitoring.

Hot Topics

The Latest

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 ...

Many organizations assumed their infrastructure strategy was settled. It had been implemented, optimized and built into long-term plans. Recent changes in technology and vendor consolidation are forcing a second look. Cloud outages and licensing changes have exposed how much dependency exists on a small number of platforms. As a result, organizations are reevaluating whether those decisions still hold up under current conditions ...

Edge AI is strategically embedded in core IT and infrastructure spending across industries, according to the 2026 Edge AI Survey from ZEDEDA. The research shows that 83% of C-suite and IT executive respondents say edge AI is important to their core business strategy ...

As AI adoption accelerates, operational complexity — not model intelligence — is becoming the primary barrier to reliable AI at scale, according to the State of AI Engineering 2026 from Datadog ... The report highlights a compounding complexity challenge as AI systems scale ... Around 5% of AI model requests fail in production, with nearly 60% of those failures caused by capacity limits ...

For years, production operations teams have treated alert fatigue as a quality-of-life problem: something that makes on-call rotations miserable but isn't considered a direct contributor to outages. That framing doesn't capture how these systems fail, and we now have data to show why. More importantly, it's now clear alert fatigue is a symptom of a deeper issue: production systems have outgrown the current operational approaches ...

I was on a customer call last fall when an enterprise architect said something I haven't been able to shake. Her team had just spent four months trying to swap one AI vendor for another. The original plan said three weeks. "We didn't switch vendors," she told me. "We rebuilt half our integrations and discovered what we'd actually been depending on." Most enterprise leaders don't expect that to be the experience ...

2018 Application Performance Management Predictions - Part 2

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 2018. Part 2 covers ITIL, ITSM and more.

Start with 2018 Application Performance Management Predictions - Part 1

ITIL WILL BE CHALLENGED

ITIL's dominance within ITSM as the definitive best practice, will be challenged. Leaner, more lightweight and adaptable methodologies will offer alternatives that are more aligned with agile principles, and CI/CD patterns. In fact the definition of what constitutes ITSM itself may change, as DevOps engineers take their ethos of simplicity and efficiency into the ITSM space.
Richard Whitehead
Evangelist-in-Chief, Moogsoft

ITSM SHIFTS FOCUS AWAY FROM IT INFRASTRUCTURE

ITSM will continue its shift in focus away from IT infrastructure toward user-centered design. We expect a richer, more powerful user experience from ITSM-based applications — which will also mean breaking down the silos between ITSM and other functions to further deliver greater user centricity overall.
Jason Bloomberg
President, Intellyx

CHATBOTS AND VIRTUAL ASSISTANTS

In 2018, we will see an increased interest in chatbot technology, mostly from organizations that provide IT Service Management (ITSM). Chatbots powered with artificial intelligence will help ITSM organizations meet increasing demands fueled by the rapid adoption of IoT, and the growing interest by enterprise CIOs to implement more IoT applications over the next few years.
Marcel Shaw
Engineer, Federal Markets, Ivanti

With more than half (52%) of CIOs saying they are using machine learning and 40% planning to adopt this technology as well as increasing focus on customer experiences, I expect chatbots and virtual assistants to play a key role in helping businesses expedite improved end-user experience and reduce manual processes in the IT service desk. As the data quality AI/ML pulls from improves and the experience becomes "more human," these new technologies are primed to be an ITSM staple. Current technologies are already improving the speed and quality of IT service desk processes by automatically categorizing and routing requests, and we will continue to see innovation in this area in 2018.
Farrell Hough
VP and GM, IT Service Management, ServiceNow

UNIFICATION OF TOOLS

2018 is the year that IT organizations will have to redefine how they align with the business, while simultaneously having to roll out Windows 10, and continue to improve security. To manage, and do more in security, yet assign a larger amount of their budget to innovation at the same time, is a challenge. The solution: unification and automation of IT. For some years we have observed how the number of devices per user has been growing. With an increase in applications, platforms and the sheer number of OS and application updates, managing varying platforms using various toolsets from multiple vendors is becoming a bottleneck and costly experience for IT. Unification simply has to occur. As one example we see enterprise mobility management (EMM) and client management tools coming together, and more organizations reducing the number of vendors and technologies they use to manage their user estate.  The result will be unified endpoint management that is easier and more cost effective. We expect this unification to extend to asset management, networking and ITSM, as enterprises work to decrease the complexity of too many vendors, look beyond point solutions, and demand better integrated solutions from their vendors.
Simon Townsend
Chief Technologist, EMEA, Ivanti

TOOLS MUST DELIVER BUSINESS VALUE

I believe 2018 will be the year that technology prowess takes a back seat to value proposition. Leading vendors will simplify their marketing content and messaging to take the customer's perspective on value by answering only two questions for the customer: 1) "What's in it for me?"; and 2) "What makes you different?" This shifts the focus from horn-tooting to how the vendor's solution helps the customer achieve their business and risk management objectives most efficiently and cost effectively. The technology is already there.
Gabe Lowy
Technology Analyst and Founder of TechTonics Advisors

For a number of years, APM vendors have strived to ensure that they can ingest lots of data. But in 2018, those vendors that will get the press will be those who provide the ability to easily correlate this data with business-centric KPIs. Applications are critical to business success but ensuring technical performance is only the first step, enterprise IT has to be able to prove that every application and every release is driving business value.
John Rakowski
Director of Technology Strategy, AppDynamics

Democratization of APM

Microservices and containers are being used to speed deployment of new application functionality. In doing so, they are creating IT complexity that will force the democratization of application performance management to bridge the divide between Ops, Dev and SRE teams and improve communication for better quality of service. Modern, democratized APM will provide the deep knowledge and understanding into everything that makes up a dynamic application and ultimately helps the entire Ops team maintain service quality.
Mirko Novakovic
CEO, Instana

FOCUS ON IT OPS TEAM HEALTH

With increased pressure on ITOps to move quickly, and the growing tie between operations and the business bottom line, organizations should take a deeper look at the health of their team. By this I mean considering the human impact of ITOps demands and on-call life. Having ITOps teams paged 24/7 is not a sustainable practice, so it will be necessary for some organizations to reassess their triage and workflows to preserve infrastructure team health, ultimately helping with efficiency and retention.
Eric Sigler
Head of DevOps, PagerDuty

Read 2018 Application Performance Management Predictions - Part 3, covering APM and monitoring.

Hot Topics

The Latest

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 ...

Many organizations assumed their infrastructure strategy was settled. It had been implemented, optimized and built into long-term plans. Recent changes in technology and vendor consolidation are forcing a second look. Cloud outages and licensing changes have exposed how much dependency exists on a small number of platforms. As a result, organizations are reevaluating whether those decisions still hold up under current conditions ...

Edge AI is strategically embedded in core IT and infrastructure spending across industries, according to the 2026 Edge AI Survey from ZEDEDA. The research shows that 83% of C-suite and IT executive respondents say edge AI is important to their core business strategy ...

As AI adoption accelerates, operational complexity — not model intelligence — is becoming the primary barrier to reliable AI at scale, according to the State of AI Engineering 2026 from Datadog ... The report highlights a compounding complexity challenge as AI systems scale ... Around 5% of AI model requests fail in production, with nearly 60% of those failures caused by capacity limits ...

For years, production operations teams have treated alert fatigue as a quality-of-life problem: something that makes on-call rotations miserable but isn't considered a direct contributor to outages. That framing doesn't capture how these systems fail, and we now have data to show why. More importantly, it's now clear alert fatigue is a symptom of a deeper issue: production systems have outgrown the current operational approaches ...

I was on a customer call last fall when an enterprise architect said something I haven't been able to shake. Her team had just spent four months trying to swap one AI vendor for another. The original plan said three weeks. "We didn't switch vendors," she told me. "We rebuilt half our integrations and discovered what we'd actually been depending on." Most enterprise leaders don't expect that to be the experience ...