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2017 Application Performance Management Predictions - Part 3

APMdigest's 2017 Application Performance Management Predictions is a forecast by the top minds in APM today. 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 2017. Part 3 covers the many aspects of IT services, including monitoring, incident management, end user experience and DevOps.

Start with 2017 Application Performance Management Predictions - Part 1

Start with 2017 Application Performance Management Predictions - Part 2

22. THE UNIFICATION OF MONITORING

In 2017 we will see leading APM solutions begin to increase capabilities in both the depth in which they can capture data and the velocity in which they can handle time series metrics. Today's solutions are fragmented between APM, metrics, logs, and infrastructure capture which creates visibility issues. Unification will be a key driver to free up engineering resources in most organizations utilizing monitoring.
Jonah Kowall
VP of Market Development and Insights, AppDynamics

IT departments will push for consolidated monitoring tools that include uptime monitoring, load monitoring, response time monitoring, and end-to-end application visibility in a single tool. They are frustrated with fragmented tool landscapes with different tools for every vendor and platform and with the finger-pointing that ensues. They will insist on unified tools that can detect application issues and that can easily trace the source of the problem down to the actual root cause in the underlying infrastructure.
Kimberley Parsons Trommler
Product Evangelist, Paessler AG

23. INCIDENT MANAGEMENT EXPANDS ROLE

The role of an incident management tool will shift from just being incident management, to also focusing on alerting, fixing and documenting issues. The impact of this will be that organizations understand more about their systems over time.
Jason Hand
DevOps Evangelist, VictorOps

Read Jason Hand's blog: DevOps for Crisis Communication: Five Steps to Prevent a Crisis from Becoming a Disaster

24. GOAL: CONTINUOUS AVAILABILITY

In today's world, having a disaster, with full failure, and then recovering from that disaster just doesn't cut it. Instead, 2017 will be the year organizations demand that IT deliver continuous availability. With continuous availability, you need to run operations across multiple systems, in multiple locations, simultaneously. Pieces of the system may fail, but system as a whole will not. Ensuring that applications will continue to run even if underlying components fail, including database servers, requires new architectures, and 2017 will see those architectures dominate.
Justin Barney
CEO, ScaleArc

25. GOAL: REDUCED TRANSACTION TIMES

Application performance, including scalability and transactional performance, is becoming more important as user expectations, even for internally facing applications, grow higher. No one wants to wait for 8 seconds and instead expects less than 1 second. CEO's are pushing their internal teams to drive down transaction times, which improve productivity across their companies.
Kevin Surace
CEO, Appvance

26. GOAL: SECURE USER EXPERIENCE

As more workloads migrate to cloud environments and new development techniques such as microservices and containerization take hold, more companies will recognize the strategic and financial benefits of implementing a unified approach to application performance and secure user experience (UX). Discrete monitoring technologies will continue to converge and leverage machine learning and advanced analytics to speed early detection of behavioral anomalies and facilitate rapid incident response. This is the direction of the The Secure UX Enterprise.
Gabe Lowy
Technology Analyst and Founder of TechTonics Advisors

Read Gabe Lowy's Blog: The Secure UX Enterprise

27. FOCUS ON THE QUALITY OF END USER EXPERIENCE

2017 is the year of application end user Quality of Experience (QoE). New tools, cloud architectures and strategies will mature beyond exploiting cloud for agility to a focus application development and delivery on delighting audiences.
Rob Malnati
VP of Marketing and Business Development, Cedexis

In my opinion, the digital transformation we've seen companies go through in the past years will continue at the same pace if not faster. IT will remain under the same pressure to deliver more value to market faster, always at a lower cost. What's new, is that this cannot be done at the expense of the quality of service any longer. Buggy mobile apps, slow web applications are not tolerated any longer. In the years to come, businesses will be forced to adopt a digital-customer-centric approach to IT Service and Application Performance Management, less focused on the health of the IT stack. Therefore we should continue seeing an increased adoption of the new generation APM and UEM solutions across all industries and verticals.
Vincent Geffray
Senior Director of Product Marketing, IT Alerting and IoT, Everbridge

28. APM TAKES ON DEVOPS

In 2017, APM solutions will need to focus on DevOps toolchain integration and be more dynamic than the microservice-based applications which are being managed. With these highly dynamic applications, 2017 will drive the need for cognitive analytics to be integrated with APM.
Randy George
IBM Distinguished Engineer - APM Architecture, IBM

29. LOW-CODE AND NO-CODE

The rise of low-code and no-code systems will allow APM to be integrated with system updates so that issues are not only flagged, but also resolved automatically. Performance metrics will start to focus on aspects of user experience such as response time, rather than technical indicators such as CPU utilization.
Colin Earl
CEO, Agiloft

30. OPTIMIZED MAINFRAME CODE

The mainframe is typically perceived as a transactional workhorse, but given the sheer number of transactions and users supported, slight tweaks in mainframe code can result in huge performance improvements for millions of users. With the advance of new solutions and tools it has become easier than ever to optimize previously untouchable mainframe code and improve user performance for transactional applications. We think this is an undiscovered opportunity mainframe stakeholders will be leveraging in 2017.
Spencer Hallman
Product Manager, Compuware

Read 2017 Application Performance Management Predictions - Part 4.

The Latest

Businesses that face downtime or outages risk financial and reputational damage, as well as reducing partner, shareholder, and customer trust. One of the major challenges that enterprises face is implementing a robust business continuity plan. What's the solution? The answer may lie in disaster recovery tactics such as truly immutable storage and regular disaster recovery testing ...

IT spending is expected to jump nearly 10% in 2025, and organizations are now facing pressure to manage costs without slowing down critical functions like observability. To meet the challenge, leaders are turning to smarter, more cost effective business strategies. Enter stage right: OpenTelemetry, the missing piece of the puzzle that is no longer just an option but rather a strategic advantage ...

Amidst the threat of cyberhacks and data breaches, companies install several security measures to keep their business safely afloat. These measures aim to protect businesses, employees, and crucial data. Yet, employees perceive them as burdensome. Frustrated with complex logins, slow access, and constant security checks, workers decide to completely bypass all security set-ups ...

Image
Cloudbrink's Personal SASE services provide last-mile acceleration and reduction in latency

In MEAN TIME TO INSIGHT Episode 13, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud networking strategy ... 

In high-traffic environments, the sheer volume and unpredictable nature of network incidents can quickly overwhelm even the most skilled teams, hindering their ability to react swiftly and effectively, potentially impacting service availability and overall business performance. This is where closed-loop remediation comes into the picture: an IT management concept designed to address the escalating complexity of modern networks ...

In 2025, enterprise workflows are undergoing a seismic shift. Propelled by breakthroughs in generative AI (GenAI), large language models (LLMs), and natural language processing (NLP), a new paradigm is emerging — agentic AI. This technology is not just automating tasks; it's reimagining how organizations make decisions, engage customers, and operate at scale ...

In the early days of the cloud revolution, business leaders perceived cloud services as a means of sidelining IT organizations. IT was too slow, too expensive, or incapable of supporting new technologies. With a team of developers, line of business managers could deploy new applications and services in the cloud. IT has been fighting to retake control ever since. Today, IT is back in the driver's seat, according to new research by Enterprise Management Associates (EMA) ...

In today's fast-paced and increasingly complex network environments, Network Operations Centers (NOCs) are the backbone of ensuring continuous uptime, smooth service delivery, and rapid issue resolution. However, the challenges faced by NOC teams are only growing. In a recent study, 78% state network complexity has grown significantly over the last few years while 84% regularly learn about network issues from users. It is imperative we adopt a new approach to managing today's network experiences ...

Image
Broadcom

From growing reliance on FinOps teams to the increasing attention on artificial intelligence (AI), and software licensing, the Flexera 2025 State of the Cloud Report digs into how organizations are improving cloud spend efficiency, while tackling the complexities of emerging technologies ...

Today, organizations are generating and processing more data than ever before. From training AI models to running complex analytics, massive datasets have become the backbone of innovation. However, as businesses embrace the cloud for its scalability and flexibility, a new challenge arises: managing the soaring costs of storing and processing this data ...

2017 Application Performance Management Predictions - Part 3

APMdigest's 2017 Application Performance Management Predictions is a forecast by the top minds in APM today. 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 2017. Part 3 covers the many aspects of IT services, including monitoring, incident management, end user experience and DevOps.

Start with 2017 Application Performance Management Predictions - Part 1

Start with 2017 Application Performance Management Predictions - Part 2

22. THE UNIFICATION OF MONITORING

In 2017 we will see leading APM solutions begin to increase capabilities in both the depth in which they can capture data and the velocity in which they can handle time series metrics. Today's solutions are fragmented between APM, metrics, logs, and infrastructure capture which creates visibility issues. Unification will be a key driver to free up engineering resources in most organizations utilizing monitoring.
Jonah Kowall
VP of Market Development and Insights, AppDynamics

IT departments will push for consolidated monitoring tools that include uptime monitoring, load monitoring, response time monitoring, and end-to-end application visibility in a single tool. They are frustrated with fragmented tool landscapes with different tools for every vendor and platform and with the finger-pointing that ensues. They will insist on unified tools that can detect application issues and that can easily trace the source of the problem down to the actual root cause in the underlying infrastructure.
Kimberley Parsons Trommler
Product Evangelist, Paessler AG

23. INCIDENT MANAGEMENT EXPANDS ROLE

The role of an incident management tool will shift from just being incident management, to also focusing on alerting, fixing and documenting issues. The impact of this will be that organizations understand more about their systems over time.
Jason Hand
DevOps Evangelist, VictorOps

Read Jason Hand's blog: DevOps for Crisis Communication: Five Steps to Prevent a Crisis from Becoming a Disaster

24. GOAL: CONTINUOUS AVAILABILITY

In today's world, having a disaster, with full failure, and then recovering from that disaster just doesn't cut it. Instead, 2017 will be the year organizations demand that IT deliver continuous availability. With continuous availability, you need to run operations across multiple systems, in multiple locations, simultaneously. Pieces of the system may fail, but system as a whole will not. Ensuring that applications will continue to run even if underlying components fail, including database servers, requires new architectures, and 2017 will see those architectures dominate.
Justin Barney
CEO, ScaleArc

25. GOAL: REDUCED TRANSACTION TIMES

Application performance, including scalability and transactional performance, is becoming more important as user expectations, even for internally facing applications, grow higher. No one wants to wait for 8 seconds and instead expects less than 1 second. CEO's are pushing their internal teams to drive down transaction times, which improve productivity across their companies.
Kevin Surace
CEO, Appvance

26. GOAL: SECURE USER EXPERIENCE

As more workloads migrate to cloud environments and new development techniques such as microservices and containerization take hold, more companies will recognize the strategic and financial benefits of implementing a unified approach to application performance and secure user experience (UX). Discrete monitoring technologies will continue to converge and leverage machine learning and advanced analytics to speed early detection of behavioral anomalies and facilitate rapid incident response. This is the direction of the The Secure UX Enterprise.
Gabe Lowy
Technology Analyst and Founder of TechTonics Advisors

Read Gabe Lowy's Blog: The Secure UX Enterprise

27. FOCUS ON THE QUALITY OF END USER EXPERIENCE

2017 is the year of application end user Quality of Experience (QoE). New tools, cloud architectures and strategies will mature beyond exploiting cloud for agility to a focus application development and delivery on delighting audiences.
Rob Malnati
VP of Marketing and Business Development, Cedexis

In my opinion, the digital transformation we've seen companies go through in the past years will continue at the same pace if not faster. IT will remain under the same pressure to deliver more value to market faster, always at a lower cost. What's new, is that this cannot be done at the expense of the quality of service any longer. Buggy mobile apps, slow web applications are not tolerated any longer. In the years to come, businesses will be forced to adopt a digital-customer-centric approach to IT Service and Application Performance Management, less focused on the health of the IT stack. Therefore we should continue seeing an increased adoption of the new generation APM and UEM solutions across all industries and verticals.
Vincent Geffray
Senior Director of Product Marketing, IT Alerting and IoT, Everbridge

28. APM TAKES ON DEVOPS

In 2017, APM solutions will need to focus on DevOps toolchain integration and be more dynamic than the microservice-based applications which are being managed. With these highly dynamic applications, 2017 will drive the need for cognitive analytics to be integrated with APM.
Randy George
IBM Distinguished Engineer - APM Architecture, IBM

29. LOW-CODE AND NO-CODE

The rise of low-code and no-code systems will allow APM to be integrated with system updates so that issues are not only flagged, but also resolved automatically. Performance metrics will start to focus on aspects of user experience such as response time, rather than technical indicators such as CPU utilization.
Colin Earl
CEO, Agiloft

30. OPTIMIZED MAINFRAME CODE

The mainframe is typically perceived as a transactional workhorse, but given the sheer number of transactions and users supported, slight tweaks in mainframe code can result in huge performance improvements for millions of users. With the advance of new solutions and tools it has become easier than ever to optimize previously untouchable mainframe code and improve user performance for transactional applications. We think this is an undiscovered opportunity mainframe stakeholders will be leveraging in 2017.
Spencer Hallman
Product Manager, Compuware

Read 2017 Application Performance Management Predictions - Part 4.

The Latest

Businesses that face downtime or outages risk financial and reputational damage, as well as reducing partner, shareholder, and customer trust. One of the major challenges that enterprises face is implementing a robust business continuity plan. What's the solution? The answer may lie in disaster recovery tactics such as truly immutable storage and regular disaster recovery testing ...

IT spending is expected to jump nearly 10% in 2025, and organizations are now facing pressure to manage costs without slowing down critical functions like observability. To meet the challenge, leaders are turning to smarter, more cost effective business strategies. Enter stage right: OpenTelemetry, the missing piece of the puzzle that is no longer just an option but rather a strategic advantage ...

Amidst the threat of cyberhacks and data breaches, companies install several security measures to keep their business safely afloat. These measures aim to protect businesses, employees, and crucial data. Yet, employees perceive them as burdensome. Frustrated with complex logins, slow access, and constant security checks, workers decide to completely bypass all security set-ups ...

Image
Cloudbrink's Personal SASE services provide last-mile acceleration and reduction in latency

In MEAN TIME TO INSIGHT Episode 13, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud networking strategy ... 

In high-traffic environments, the sheer volume and unpredictable nature of network incidents can quickly overwhelm even the most skilled teams, hindering their ability to react swiftly and effectively, potentially impacting service availability and overall business performance. This is where closed-loop remediation comes into the picture: an IT management concept designed to address the escalating complexity of modern networks ...

In 2025, enterprise workflows are undergoing a seismic shift. Propelled by breakthroughs in generative AI (GenAI), large language models (LLMs), and natural language processing (NLP), a new paradigm is emerging — agentic AI. This technology is not just automating tasks; it's reimagining how organizations make decisions, engage customers, and operate at scale ...

In the early days of the cloud revolution, business leaders perceived cloud services as a means of sidelining IT organizations. IT was too slow, too expensive, or incapable of supporting new technologies. With a team of developers, line of business managers could deploy new applications and services in the cloud. IT has been fighting to retake control ever since. Today, IT is back in the driver's seat, according to new research by Enterprise Management Associates (EMA) ...

In today's fast-paced and increasingly complex network environments, Network Operations Centers (NOCs) are the backbone of ensuring continuous uptime, smooth service delivery, and rapid issue resolution. However, the challenges faced by NOC teams are only growing. In a recent study, 78% state network complexity has grown significantly over the last few years while 84% regularly learn about network issues from users. It is imperative we adopt a new approach to managing today's network experiences ...

Image
Broadcom

From growing reliance on FinOps teams to the increasing attention on artificial intelligence (AI), and software licensing, the Flexera 2025 State of the Cloud Report digs into how organizations are improving cloud spend efficiency, while tackling the complexities of emerging technologies ...

Today, organizations are generating and processing more data than ever before. From training AI models to running complex analytics, massive datasets have become the backbone of innovation. However, as businesses embrace the cloud for its scalability and flexibility, a new challenge arises: managing the soaring costs of storing and processing this data ...