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2016 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 2016. Part 2 features visions of expanded capabilities of Application Performance Management solutions.

Start with 2016 Application Performance Management Predictions - Part 1

APM SUPPORTS INTERNET OF THINGS

With growing and astronomical opportunities in IoT, coupled with the fact that IoT is driven by massive scale software and data interactions, APM technologies are directly applicable to these new software use cases. Analytics and transaction tracing are key to extract and get value out of these new, emerging, and exciting platforms. In 2016 we will see this become a reality, whereas today it's in its nascency.
Jonah Kowall
VP of Market Development and Insights, AppDynamics

A COMPLETE MONITORING SOLUTION

I foresee the (3) main factions of APM (Wire Data Analytics, Synthetic Transactions, and Agent Code Instrumentation) coming together to round out the monitoring spectrum as a complete solution. Wire Data Analytics will automatically discover and decipher all applications coming from a simple network tap. Synthetic Transactions will be made easier with recording features that support advanced browser functions which will be seamless for all mobile devices. Finally, there will be a new agent concept which is lightweight, deploys quickly, and goes in virtually undetected with zero configuration.
Larry Dragich
Director of Customer Experience Management at the Auto Club Group and Founder of the APM Strategies Group on LinkedIn.

For a better understanding of the (3) main factions of APM read: Slow Applications are Criminal

APM OFFERS DEEP DIVE VISIBILITY

APM requirements will expand past the capabilities of transaction visibility and real user monitoring, seeking deep-dive visibility across the entire infrastructure. Troubleshooting performance issues requires extensive expertise inside each and every tier, and enabling performance diagnosis to be accomplished with minimal human expertise requires a great deal of automation. In response to this demand, APM tools must go beyond user experience monitoring and transaction tracing with in-depth insights and domain expertise into every layer and every tier of the infrastructure. These tools will need to be easy to set up and use, to keep the barriers to adoption as low as possible.
Srinivas Ramanathan
CEO, eG Innovations

5 Predictions for Application Performance Management in 2016

DATABASE BECOMES APPLICATION PERFORMANCE FOCUS

With application performance the heart of most businesses, 2016 will see APM professionals start doing a much better job at realizing that, in turn, the database is the heart of application performance. As a result, the importance of having shared visibility into how databases affect application performance and the need to embrace response time analysis to identify bottlenecks will only grow in the coming year.
Gerardo Dada
VP, Product Marketing and Strategy, SolarWinds

THE NEED FOR SPEED

2016 will be the year of Fast Insights in APM. We have big data, small data, analytics, user experience data, etc. But what is the point of having all that data if I have to wait to figure out what happened that caused a performance outage or degradation, or even worse not have a clue that something happened? So 2016 will be about how do I get the information I need to have to make the right decision, right now. With customer experience more critical to business success than ever, IT's ability to respond to issues faster or pre-empt them altogether has never been more crucial.
Drit Suljoti
Chief Product Officer, Catchpoint

APM STRATEGIES INCLUDE MAINFRAME

Due to the sheer number of transactions and users impacted, even slight mainframe code optimizations can have a hugely positive experience on customer experience. For these reasons, modern IT teams will increasingly extend APM strategies to include the mainframe, identifying opportunities for improved customer experience and cost optimizations. Deep insights into mainframe code can also help IT teams identify and fix inefficiencies that may be driving up mainframe licensing costs unnecessarily.
Christopher O'Malley
President and CEO, Compuware

APM INTEGRATES WITH HELPDESK AND PRODUCT MANAGEMENT SYSTEM

To continue to be successful and increase adoption it is imperative that good (automated) integration is developed between the APM system, the Helpdesk system and the Product/Issue management systems used by developers.
Frank Puranik
Senior Technical Specialist, iTrinegy

THE RENAISSANCE OF BSM

The emergence of provisioning tools that can be leveraged to perform low maintenance, automatically updating dependency maps and CMDBs – leading to the renaissance of Business Service Management (BSM).
Grant Glading
Sales & Marketing Director, Interlink Software

Read 2016 Application Performance Management Predictions - Part 3

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 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 2016. Part 2 features visions of expanded capabilities of Application Performance Management solutions.

Start with 2016 Application Performance Management Predictions - Part 1

APM SUPPORTS INTERNET OF THINGS

With growing and astronomical opportunities in IoT, coupled with the fact that IoT is driven by massive scale software and data interactions, APM technologies are directly applicable to these new software use cases. Analytics and transaction tracing are key to extract and get value out of these new, emerging, and exciting platforms. In 2016 we will see this become a reality, whereas today it's in its nascency.
Jonah Kowall
VP of Market Development and Insights, AppDynamics

A COMPLETE MONITORING SOLUTION

I foresee the (3) main factions of APM (Wire Data Analytics, Synthetic Transactions, and Agent Code Instrumentation) coming together to round out the monitoring spectrum as a complete solution. Wire Data Analytics will automatically discover and decipher all applications coming from a simple network tap. Synthetic Transactions will be made easier with recording features that support advanced browser functions which will be seamless for all mobile devices. Finally, there will be a new agent concept which is lightweight, deploys quickly, and goes in virtually undetected with zero configuration.
Larry Dragich
Director of Customer Experience Management at the Auto Club Group and Founder of the APM Strategies Group on LinkedIn.

For a better understanding of the (3) main factions of APM read: Slow Applications are Criminal

APM OFFERS DEEP DIVE VISIBILITY

APM requirements will expand past the capabilities of transaction visibility and real user monitoring, seeking deep-dive visibility across the entire infrastructure. Troubleshooting performance issues requires extensive expertise inside each and every tier, and enabling performance diagnosis to be accomplished with minimal human expertise requires a great deal of automation. In response to this demand, APM tools must go beyond user experience monitoring and transaction tracing with in-depth insights and domain expertise into every layer and every tier of the infrastructure. These tools will need to be easy to set up and use, to keep the barriers to adoption as low as possible.
Srinivas Ramanathan
CEO, eG Innovations

5 Predictions for Application Performance Management in 2016

DATABASE BECOMES APPLICATION PERFORMANCE FOCUS

With application performance the heart of most businesses, 2016 will see APM professionals start doing a much better job at realizing that, in turn, the database is the heart of application performance. As a result, the importance of having shared visibility into how databases affect application performance and the need to embrace response time analysis to identify bottlenecks will only grow in the coming year.
Gerardo Dada
VP, Product Marketing and Strategy, SolarWinds

THE NEED FOR SPEED

2016 will be the year of Fast Insights in APM. We have big data, small data, analytics, user experience data, etc. But what is the point of having all that data if I have to wait to figure out what happened that caused a performance outage or degradation, or even worse not have a clue that something happened? So 2016 will be about how do I get the information I need to have to make the right decision, right now. With customer experience more critical to business success than ever, IT's ability to respond to issues faster or pre-empt them altogether has never been more crucial.
Drit Suljoti
Chief Product Officer, Catchpoint

APM STRATEGIES INCLUDE MAINFRAME

Due to the sheer number of transactions and users impacted, even slight mainframe code optimizations can have a hugely positive experience on customer experience. For these reasons, modern IT teams will increasingly extend APM strategies to include the mainframe, identifying opportunities for improved customer experience and cost optimizations. Deep insights into mainframe code can also help IT teams identify and fix inefficiencies that may be driving up mainframe licensing costs unnecessarily.
Christopher O'Malley
President and CEO, Compuware

APM INTEGRATES WITH HELPDESK AND PRODUCT MANAGEMENT SYSTEM

To continue to be successful and increase adoption it is imperative that good (automated) integration is developed between the APM system, the Helpdesk system and the Product/Issue management systems used by developers.
Frank Puranik
Senior Technical Specialist, iTrinegy

THE RENAISSANCE OF BSM

The emergence of provisioning tools that can be leveraged to perform low maintenance, automatically updating dependency maps and CMDBs – leading to the renaissance of Business Service Management (BSM).
Grant Glading
Sales & Marketing Director, Interlink Software

Read 2016 Application Performance Management Predictions - Part 3

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 ...