30 Ways APM Should Evolve - Part 4
June 28, 2016
Share this

APMdigest asked the top minds in the industry what they feel is the most important way Application Performance Management (APM) tools must evolve. The recommendations on this list provide a rare look into the long-term future of APM technology. Part 4 covers the end user experience.

Start with 30 Ways APM Should Evolve - Part 1

Start with 30 Ways APM Should Evolve - Part 2

Start with 30 Ways APM Should Evolve - Part 3

16. END USER EXPERIENCE

In this era of digital transformation, delivering an exceptional end user experience is one of the most important goals for enterprises. APM must evolve into a unified monitoring solution that shows a clear linkage to the quality of the end user experience. Additionally, monitoring of the supporting infrastructure is another critical component in delivering the best overall experience to the end-users of the application.
Peter Kacandes
Senior Product Marketing Manager, AppDynamics

Because user experience is the new service level agreement standard, businesses must arm themselves with APM tools that natively provide end-to-end visibility into user experience across mobile, web and e-commerce platforms, monitoring and analyzing API calls, runtime environments, and business transactions in the context of user actions and their devices.
Monica Benjamin
Director of Product Marketing, HPE Software

Read Monica Benjamin's blog: APM Evolution - End User Experience

According to a recent Gartner survey, 46 percent of enterprises view end-user experience monitoring (EUEM) as the most important APM dimension, and 49 percent cite "enhance customer service quality" as their first choice for rationalizing APM purchases. Companies know the end-user experience impacts the bottom line, but they have trouble quantifying exactly how much. APM must evolve to enable not only better understanding of the end-user experience, but also the direct business impact of poor performance. This will drive future APM investments.
Dennis Callaghan
Director of Industry Innovation, Catchpoint

APM tools need to get as close as possible to the end users. That could mean putting them into mobile apps and browsers, running playback-bots, or implementing in-app customer feedback mechanisms. That's the most important way APM tools must evolve. Traditionally, APM tools have focused largely on monitoring internal, full app stacks inside the data center. Now, we're seeing more consolidation in the application development and deployment stack – for instance, AWS for hosting and NoSQL as the preferred database technology. That means APM tools will gradually shift from lower-level challenges (monitoring apps, servers, and databases) to higher-level ones. These new challenges would include things like a) understanding user behavior and tying it back to the application developers' world via time-based hooks and b) knowing that a new workflow is turning more Android users away than the previous flow. That kind of insight is what today's app developers should expect from an APM tool.
Dev Anand Ramasamy
Director of Product Management, ManageEngine

17. END-USER EXPERIENCE + ROOT CAUSE ANALYSIS

The APM tools today measure and expose the latency and availability of digital services. In order to offer the owners of these services a better overview and control of user experience, the APMs will need to add two additional dimensions to their dashboards – tracing of users and root cauuses. The APMs of tomorrow will have to monitor the experience of individual users and when the experience is not satisfying, expose root causes with the precision of a specific line in source code.
Ivo Mägi
Co-founder and Head of Product, Plumbr

18. DIGITAL PERFORMANCE MANAGEMENT

Application Performance Management tools must evolve to become Digital Performance Management. As the definition of "application" is both expanding and becoming more vague, it's important for these tools to focus on the customer experience end-to-end. That's essentially what we mean by digital performance.
Jason Bloomberg
President, Intellyx

APM has historically been IT-centric, driven by operations and development, mainly to more efficiently identify and fix issues. However, this gives little or no thought to the digital customer experience. The most successful businesses are practicing what we call Digital Performance Management (DPM), using customer experience insights as a common language to foster collaboration and align priorities across these teams including business stakeholders. DPM collected analytics are uniquely positioned to help break silos by providing detailed insight around user behavior, delivered experience quality and the supporting applications and infrastructure health and performance across channels.
Erwan Paccard
Director of Customer Experience Marketing, Dynatrace

2016 will see the beginning of a mass transition from APM to DPM (Digital Performance Management) with emphasis on front-end performance measurement, testing and optimization based on analytics insights gained from the holy trinity of data - real user, business outcome and ops metrics.
Ann Ruckstuhl
CMO, SOASTA

19. APPLICATION-AWARE APM

The biggest evolution in application performance management will be application-aware solutions in the virtualized environment that tie the end user to the virtualized infrastructure that is delivering the application. As the management interface grows increasingly complex with virtual machines, hybrid cloud and hypervisor-based solutions, an evolution must take place to ensure that IT understands how their business critical applications are using compute, storage, network and virtualization resources on a user-by-user basis. As IT continues to evolve, monitoring solutions must also evolve to provide complete transparency throughout applications and all infrastructure layers.
Simon Taylor
President, Comtrade Software

Read 30 Ways APM Should Evolve - Part 5, covering the impact of APM on the Business.

Share this

The Latest

May 17, 2024

In MEAN TIME TO INSIGHT Episode 6, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network automation ...

May 16, 2024

In the ever-evolving landscape of software development and infrastructure management, observability stands as a crucial pillar. Among its fundamental components lies log collection ... However, traditional methods of log collection have faced challenges, especially in high-volume and dynamic environments. Enter eBPF, a groundbreaking technology ...

May 15, 2024

Businesses are dazzled by the promise of generative AI, as it touts the capability to increase productivity and efficiency, cut costs, and provide competitive advantages. With more and more generative AI options available today, businesses are now investigating how to convert the AI promise into profit. One way businesses are looking to do this is by using AI to improve personalized customer engagement ...

May 14, 2024

In the fast-evolving realm of cloud computing, where innovation collides with fiscal responsibility, the Flexera 2024 State of the Cloud Report illuminates the challenges and triumphs shaping the digital landscape ... At the forefront of this year's findings is the resounding chorus of organizations grappling with cloud costs ...

May 13, 2024

Government agencies are transforming to improve the digital experience for employees and citizens, allowing them to achieve key goals, including unleashing staff productivity, recruiting and retaining talent in the public sector, and delivering on the mission, according to the Global Digital Employee Experience (DEX) Survey from Riverbed ...

May 09, 2024

App sprawl has been a concern for technologists for some time, but it has never presented such a challenge as now. As organizations move to implement generative AI into their applications, it's only going to become more complex ... Observability is a necessary component for understanding the vast amounts of complex data within AI-infused applications, and it must be the centerpiece of an app- and data-centric strategy to truly manage app sprawl ...

May 08, 2024

Fundamentally, investments in digital transformation — often an amorphous budget category for enterprises — have not yielded their anticipated productivity and value ... In the wake of the tsunami of money thrown at digital transformation, most businesses don't actually know what technology they've acquired, or the extent of it, and how it's being used, which is directly tied to how people do their jobs. Now, AI transformation represents the biggest change management challenge organizations will face in the next one to two years ...

May 07, 2024

As businesses focus more and more on uncovering new ways to unlock the value of their data, generative AI (GenAI) is presenting some new opportunities to do so, particularly when it comes to data management and how organizations collect, process, analyze, and derive insights from their assets. In the near future, I expect to see six key ways in which GenAI will reshape our current data management landscape ...

May 06, 2024

The rise of AI is ushering in a new disrupt-or-die era. "Data-ready enterprises that connect and unify broad structured and unstructured data sets into an intelligent data infrastructure are best positioned to win in the age of AI ...

May 02, 2024

A majority (61%) of organizations are forced to evolve or rethink their data and analytics (D&A) operating model because of the impact of disruptive artificial intelligence (AI) technologies, according to a new Gartner survey ...