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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

Most organizations approach OpenTelemetry as a collection of individual tools they need to assemble from scratch. This view misses the bigger picture. OpenTelemetry is a complete telemetry framework with composable components that address specific problems at different stages of organizational maturity. You start with what you need today and adopt additional pieces as your observability practices evolve ...

One of the earliest lessons I learned from architecting throughput-heavy services is that simplicity wins repeatedly: fewer moving parts, loosely coupled execution (fewer synchronous calls), and precise timing metering. You want data and decisions to travel the shortest possible path. The goal is to build a system where every strategy and each line of code (contention is the key metric) complements the decision trees ...

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 ...

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

Most organizations approach OpenTelemetry as a collection of individual tools they need to assemble from scratch. This view misses the bigger picture. OpenTelemetry is a complete telemetry framework with composable components that address specific problems at different stages of organizational maturity. You start with what you need today and adopt additional pieces as your observability practices evolve ...

One of the earliest lessons I learned from architecting throughput-heavy services is that simplicity wins repeatedly: fewer moving parts, loosely coupled execution (fewer synchronous calls), and precise timing metering. You want data and decisions to travel the shortest possible path. The goal is to build a system where every strategy and each line of code (contention is the key metric) complements the decision trees ...

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 ...