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2016 Application Performance Management Predictions - Part 5

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 5, the final installment, highlights the evolving IT environment, and offers a few predictions on the Application Performance Management market.

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

Start with 2016 Application Performance Management Predictions - Part 4

RELEASE QUALITY – THE NEW APPLICATION PERFORMANCE METRIC

In 2015, less than half of performance and development professionals used Release Quality as a baseline metric to judge application performance according to a report sponsored by HPE and blind survey executed by YouGov. This number is expected to rise in 2016 as organizations fully appreciate that there are no second chances with respect to making a strong first impression based on performance.
Todd DeCapua
Chief Technology Evangelist, Hewlett Packard Enterprise

2016 APM Prediction: Application Performance and Delivery Remain Top-of-Mind

API CHALLENGE DRIVES NEW APM, NPM AND ITOA TOOLS

Businesses will rely on APIs in their application stack more than ever, extending beyond internal business-related web services to infrastructure-related microservice APIs and external partner APIs. Development, QA and operations teams will face new challenges related to the integration of mission-critical services that are managed outside of their department, or even their organization. The concerns of these teams, when working with external service dependencies, are intertwined throughout the entire SDLC. Thus new tools will have to emerge that combine aspects of APM, NPM and ITOA relative to APIs, but more importantly, provide a common interface for easy cross-discipline collaboration between developers, testers and ops.
Neil Mansilla
VP of Developer Relations, Runscope

MICROSERVICES AND CONTAINERS REQUIRE REINVENTION OF APM

There will be increasing challenges for APM providers to be able to support the application (microservices), infrastructure (containers, SDx) and process changes (CI/CD) that are occurring in support of the needs of an increasingly digital business environment.
Cameron Haight
Research VP, IT Operations, Gartner

Perhaps the biggest disruption will be the continued adoption and evolution of microservices and containerization, which have really just started to become commodities. While microservices offer a lot of very compelling advantages, they also bring a new level of complexity to APM. The number of interacting components that make-up a system impacts all areas of troubleshooting, monitoring, logging, and debugging.
Sven Dummer
Senior Director of Product Marketing, Loggly

2016 will be the year where we see adoption of containers and microservices architectures truly skyrockets. It will be critical for APM solutions to provide additional and deeper metrics on containers performance. With modern containerized architectures gaining in terms of flexibility, speed and re-use, in a lot of cases the downside is a lot of additional complexity. APM solutions will need to focus on containers performance and how it maps to the overall application performance. There will be a greater need for higher visibility and additional levels of analytics for container-driven architectures.
Paola Moretto
Founder and CEO, Nouvola

APM has traditionally placed focus on user-facing services, such as web performance which took center stage in recent years. We are now in the rise of micro-service architectures, and in 2016, APM products will retool to focus on service-to-service performance analysis to better serve engineering teams.
Theo Schlossnagle
Founder and EVP, Products, Circonus

APM vendors will have to reinvent their products and business models to take advantage of and cope with Docker and containerization in general. Applications running on one JVM will get disaggregated into hundreds of micro-services, each of which talk to other micro-services on the same and different hosts. Transaction tracing between this "swarm" of micro-services will become essential. This is an enormous technical challenge that only leading edge APM vendors are equipped to meet. APM vendors will also have to revisit their pricing models as charging customers for each instance of each micro-service is simply not going to work.
Bernd Harzog
CEO, OpsDataStore

VENDOR OUTLOOK: CONSOLIDATION

As foreseen in previous years, the APM market continues to develop, both in terms of numbers of providers and inherent functionality, particularly with regard to end user visibility. However, a lack of fundamental differentiation between many of the providers means that consolidation is to be expected, either due to the collapse of (over geared) vendors, or via acquisition.
Larry Haig
Senior Consultant, Intechnica

APM Predictions 2016: Choosing an APM for Maximum Advantage

VENDOR OUTLOOK: THE BATTLE BETWEEN GROWTH PLAYERS AND STARTUPS

If we look at the market as falling into three categories: incumbent players, growth players, and startups, my prediction for 2016 is that the battle between growth players and startups will reach a feverish pitch. Growth players are driving toward going public, or perhaps having recently gone public, are driving overall customer growth. The younger startups in the space, in contrast, are seeking to flesh out differentiated products that will position them to take leadership positions away from growth players in 2017 and eventually from the incumbent players as well. But for 2016, the battle will be for mindshare between the growth players and startups.
Jason Bloomberg
President, Intellyx

Hot Topics

The Latest

As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...

Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...

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

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

2016 Application Performance Management Predictions - Part 5

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 5, the final installment, highlights the evolving IT environment, and offers a few predictions on the Application Performance Management market.

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

Start with 2016 Application Performance Management Predictions - Part 4

RELEASE QUALITY – THE NEW APPLICATION PERFORMANCE METRIC

In 2015, less than half of performance and development professionals used Release Quality as a baseline metric to judge application performance according to a report sponsored by HPE and blind survey executed by YouGov. This number is expected to rise in 2016 as organizations fully appreciate that there are no second chances with respect to making a strong first impression based on performance.
Todd DeCapua
Chief Technology Evangelist, Hewlett Packard Enterprise

2016 APM Prediction: Application Performance and Delivery Remain Top-of-Mind

API CHALLENGE DRIVES NEW APM, NPM AND ITOA TOOLS

Businesses will rely on APIs in their application stack more than ever, extending beyond internal business-related web services to infrastructure-related microservice APIs and external partner APIs. Development, QA and operations teams will face new challenges related to the integration of mission-critical services that are managed outside of their department, or even their organization. The concerns of these teams, when working with external service dependencies, are intertwined throughout the entire SDLC. Thus new tools will have to emerge that combine aspects of APM, NPM and ITOA relative to APIs, but more importantly, provide a common interface for easy cross-discipline collaboration between developers, testers and ops.
Neil Mansilla
VP of Developer Relations, Runscope

MICROSERVICES AND CONTAINERS REQUIRE REINVENTION OF APM

There will be increasing challenges for APM providers to be able to support the application (microservices), infrastructure (containers, SDx) and process changes (CI/CD) that are occurring in support of the needs of an increasingly digital business environment.
Cameron Haight
Research VP, IT Operations, Gartner

Perhaps the biggest disruption will be the continued adoption and evolution of microservices and containerization, which have really just started to become commodities. While microservices offer a lot of very compelling advantages, they also bring a new level of complexity to APM. The number of interacting components that make-up a system impacts all areas of troubleshooting, monitoring, logging, and debugging.
Sven Dummer
Senior Director of Product Marketing, Loggly

2016 will be the year where we see adoption of containers and microservices architectures truly skyrockets. It will be critical for APM solutions to provide additional and deeper metrics on containers performance. With modern containerized architectures gaining in terms of flexibility, speed and re-use, in a lot of cases the downside is a lot of additional complexity. APM solutions will need to focus on containers performance and how it maps to the overall application performance. There will be a greater need for higher visibility and additional levels of analytics for container-driven architectures.
Paola Moretto
Founder and CEO, Nouvola

APM has traditionally placed focus on user-facing services, such as web performance which took center stage in recent years. We are now in the rise of micro-service architectures, and in 2016, APM products will retool to focus on service-to-service performance analysis to better serve engineering teams.
Theo Schlossnagle
Founder and EVP, Products, Circonus

APM vendors will have to reinvent their products and business models to take advantage of and cope with Docker and containerization in general. Applications running on one JVM will get disaggregated into hundreds of micro-services, each of which talk to other micro-services on the same and different hosts. Transaction tracing between this "swarm" of micro-services will become essential. This is an enormous technical challenge that only leading edge APM vendors are equipped to meet. APM vendors will also have to revisit their pricing models as charging customers for each instance of each micro-service is simply not going to work.
Bernd Harzog
CEO, OpsDataStore

VENDOR OUTLOOK: CONSOLIDATION

As foreseen in previous years, the APM market continues to develop, both in terms of numbers of providers and inherent functionality, particularly with regard to end user visibility. However, a lack of fundamental differentiation between many of the providers means that consolidation is to be expected, either due to the collapse of (over geared) vendors, or via acquisition.
Larry Haig
Senior Consultant, Intechnica

APM Predictions 2016: Choosing an APM for Maximum Advantage

VENDOR OUTLOOK: THE BATTLE BETWEEN GROWTH PLAYERS AND STARTUPS

If we look at the market as falling into three categories: incumbent players, growth players, and startups, my prediction for 2016 is that the battle between growth players and startups will reach a feverish pitch. Growth players are driving toward going public, or perhaps having recently gone public, are driving overall customer growth. The younger startups in the space, in contrast, are seeking to flesh out differentiated products that will position them to take leadership positions away from growth players in 2017 and eventually from the incumbent players as well. But for 2016, the battle will be for mindshare between the growth players and startups.
Jason Bloomberg
President, Intellyx

Hot Topics

The Latest

As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...

Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...

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

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...