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.

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A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

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IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

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According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...

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2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...

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Overall outage frequency and the general level of reported severity continue to decline, according to the Outage Analysis 2025 from Uptime Institute. However, cyber security incidents are on the rise and often have severe, lasting impacts ...

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.

Related Links

Hot Topics

The Latest

AI Drives Surge in Data Budgets

AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...

Misaligned Architecture Causes Service Disruptions, High Operational Costs and Security Challenges

Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...

How GenAI Can Save Time for the NetOps Team

A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

Will AI Solve the Growing Data Divide?

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

Top Concerns for Tech Decision Makers

A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...

Gartner: Top Trends Shaping the Future of Cloud

According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...

The Great SaaS Hangover (and the Cure Nobody Is Talking About)

2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...

OpenShift Monitoring: 5 Things You Need to Keep an Eye on

Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...

AI Drives New Wave of Digital Transformation

An overwhelming majority of IT leaders (95%) believe the upcoming wave of AI-powered digital transformation is set to be the most impactful and intensive seen thus far, according to The Science of Productivity: AI, Adoption, And Employee Experience, a new report from Nexthink ...

Data Center Outage Frequency Decreasing

Overall outage frequency and the general level of reported severity continue to decline, according to the Outage Analysis 2025 from Uptime Institute. However, cyber security incidents are on the rise and often have severe, lasting impacts ...