2016 Application Performance Management Predictions - Part 2
December 17, 2015
Share this

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

Share this

The Latest

September 22, 2021

The world's appetite for cloud services has increased but now, more than 18 months since the beginning of the pandemic, organizations are assessing their cloud spend and trying to better understand the IT investments that were made under pressure. This is a huge challenge in and of itself, with the added complexity of embracing hybrid work ...

September 21, 2021

After a year of unprecedented challenges and change, tech pros responding to this year’s survey, IT Pro Day 2021 survey: Bring IT On from SolarWinds, report a positive perception of their roles and say they look forward to what lies ahead ...

September 20, 2021

One of the key performance indicators for IT Ops is MTTR (Mean-Time-To-Resolution). MTTR essentially measures the length of your incident management lifecycle: from detection; through assignment, triage and investigation; to remediation and resolution. IT Ops teams strive to shorten their incident management lifecycle and lower their MTTR, to meet their SLAs and maintain healthy infrastructures and services. But that's often easier said than done, with incident triage being a key factor in that challenge ...

September 16, 2021

Achieve more with less. How many of you feel that pressure — or, even worse, hear those words — trickle down from leadership? The reality is that overworked and under-resourced IT departments will only lead to chronic errors, missed deadlines and service assurance failures. After all, we're only human. So what are overburdened IT departments to do? Reduce the human factor. In a word: automate ...

September 15, 2021

On average, data innovators release twice as many products and increase employee productivity at double the rate of organizations with less mature data strategies, according to the State of Data Innovation report from Splunk ...

September 14, 2021

While 90% of respondents believe observability is important and strategic to their business — and 94% believe it to be strategic to their role — just 26% noted mature observability practices within their business, according to the 2021 Observability Forecast ...

September 13, 2021

Let's explore a few of the most prominent app success indicators and how app engineers can shift their development strategy to better meet the needs of today's app users ...

September 09, 2021

Business enterprises aiming at digital transformation or IT companies developing new software applications face challenges in developing eye-catching, robust, fast-loading, mobile-friendly, content-rich, and user-friendly software. However, with increased pressure to reduce costs and save time, business enterprises often give a short shrift to performance testing services ...

September 08, 2021

DevOps, SRE and other operations teams use observability solutions with AIOps to ingest and normalize data to get visibility into tech stacks from a centralized system, reduce noise and understand the data's context for quicker mean time to recovery (MTTR). With AI using these processes to produce actionable insights, teams are free to spend more time innovating and providing superior service assurance. Let's explore AI's role in ingestion and normalization, and then dive into correlation and deduplication too ...

September 07, 2021

As we look into the future direction of observability, we are paying attention to the rise of artificial intelligence, machine learning, security, and more. I asked top industry experts — DevOps Institute Ambassadors — to offer their predictions for the future of observability. The following are 10 predictions ...