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

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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

Related Links

Hot Topics

The Latest

How AI Agents Are Reshaping DataOps for the Always-On Enterprise

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

AI Deepfakes: Rethinking Trust in the Workplace

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Nine in Ten Enterprises Plan Cloud Data Repatriation amid Rising Cloud Costs and Data Sovereignty Mandates

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Why ITOps Need Right-Sized AI, Not Bigger Models

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

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For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

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New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Why Moving Off the Cloud Is the Easy Part and What Comes Next Is Where Things Get Hard

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

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In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...

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