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2024 Application Performance Management Predictions - Part 7: User Experience

Industry experts offer thoughtful, insightful, and often controversial predictions on how APM, AIOps, Observability, OpenTelemetry and related technologies will evolve and impact business in 2024. Part 7 covers the end-user experience.

Start with: 2024 Application Performance Management Predictions - Part 1

Start with: 2024 Application Performance Management Predictions - Part 2

Start with: 2024 Application Performance Management Predictions - Part 3

Start with: 2024 Application Performance Management Predictions - Part 4

Start with: 2024 Application Performance Management Predictions - Part 5

Start with: 2024 Application Performance Management Predictions - Part 6

USER EXPERIENCE OVER APPLICATION METRICS

Observability teams will realize the importance of understanding user experience versus application metrics. The fact that a database call has a slightly longer wait time will become less critical than if the application is not meeting the user's expectations of performance. This will directly link resilience and performance back to business impact as a poor user experience can lead to lost revenue.
Gerardo Dada
CMO, Catchpoint

Image removed.

CONVERTING USER EXPERIENCE INTO METRICS

Improvements in multi-model generative AI will continue changing the way the industry looks at digital experience management (DEM), like converting actual user experience recordings into reportable analytics/metrics.
Camden Swita
Senior Product Manager, New Relic

INCORPORATING USER EXPERIENCE METRICS INTO DEV

User experience metrics will be further incorporated into the development and testing lifecycle.
Gerardo Dada
CMO, Catchpoint

INCREASING PRESSURE FOR SEAMLESS USER EXPERIENCE

In 2024 there will be increasing pressure for businesses to provide a seamless experience and intuitive responses that can be maintained during web traffic surges, especially in the ecommerce sector. Ecommerce traffic growth continues to rise year over year, which means businesses need to look at unleashing bandwidth capacity and start investing in reliable, scalable and agile web hosting services and infrastructure that won't compromise speed or functionality. Businesses can avoid paying more for bandwidth if technology is implemented to automatically dial up bandwidth capacity when a surge in traffic is detected. This will ensure their websites remain active and responsive. Companies should also focus on optimizing mobile-friendly websites, boosting customer service, and focus on the power of personalization.
Over the next year, ecommerce will see an increase in website traffic as younger generations age and are introduced to the various ways to purchase products online. It's crucial that businesses within the ecommerce sector properly prepare their websites and overall cloud and web hosting services.
Suhaib Zaheer
SVP, Managed Services, DigitalOcean

The growth of mobile ecommerce means that in 2024, more consumers will expect a seamless, personalized, and convenient shopping experience on their mobile devices. Businesses will need to optimize their websites and apps for mobile, offer various payment options and delivery methods, and leverage data and automation to create engaging and relevant content for their customers.
Kevin French
Principal, Client Solutions, BairesDev

PROACTIVE EMPLOYEE EXPERIENCE MONITORING

As Gartner reported, 47% of users experience significant digital friction on a daily basis. Thus, proactive employee experience monitoring (DEX) will become a main priority as companies realize the importance of ensuring connectivity and access to applications employees need to do their jobs effectively in 2024.
Gerardo Dada
CMO, Catchpoint

SECURITY DISRUPTS EMPLOYEE EXPERIENCE

Zero-day patches, security tool updates, application updates, driver updates, and more, are compromising the user experience every day. Nearly 75% of CISOs say that employees in their organization are frustrated with current security policies that are taking a toll on their productivity. As companies continue implementing these layered security protocols to safeguard their systems, users will increasingly encounter friction in their daily work interactions. This growing user dissatisfaction could pose a significant risk to organizations' employee retention, and as we move into 2024, we will see workers be more reluctant to tolerate cumbersome software updates, patches, and security measures that hinder their ability to work efficiently. Organizations will need to take a holistic approach that does not compromise security nor the end-user experience to keep their employees happy. This requires tools that help them monitor end-user satisfaction and productivity, and understand the impact of frequent, disruptive updates on their users.
Amitabh Sinha
CEO, Workspot

IMPROVING REMOTE DIGITAL EMPLOYEE EXPERIENCE

Regardless of what the overall mix will be, we have made a lasting shift to hybrid work because it's a critical tool for the recruitment and retention of top talent in a stubbornly tight labor market. To support remote teams, 88% of IT leaders will use the next 12-18 months to invest in tools that improve the digital employee experience of remote workers. IT teams will leverage observability tools to be sure that an anomaly is localized to a specific application or location and not a harbinger of a coming network crisis.
Mike Marks
VP Product Marketing, Riverbed

REMOTE WORK HINGES ON APPLICATION PERFORMANCE

As remote work becomes the norm for businesses worldwide, the paradigm shift brings forth critical considerations for application performance. The majority of business and software development activities now occur outside traditional office settings, necessitating hyper-connected and intricate networks for security. To address this, future solutions must prioritize resiliency, uptime, and shorter Service Level Agreements (SLAs). In addition, organizations will rely on automated troubleshooting of business outages. Failing to do so could prompt users and customers to explore alternative solutions that guarantee seamless software delivery. In this evolving landscape, the success of remote work hinges on the ability of applications to perform flawlessly, prompting a reevaluation of network architectures and performance standards to meet the demands of a distributed workforce.
Erez Tadmor
Cybersecurity Evangelist, Tufin

REMOTE WORK DRIVES APPLICATION CONSOLIDATION

In 2024, organizations will hone in on app consolidating and secure delivery. The pandemic ushered in the new norm of remote work, along with a massive influx of new cloud-based apps, mobile devices and laptops. In the rush to implement these solutions, a secondary layer of management, monitoring and security tools added to the complexity for both end users and IT. In 2024, businesses will hone in on consolidating access layers and centralizing management to address the abundance of old and new applications across diverse devices.
Sridhar Mullapudi
GM, Citrix

In Episode 2 of the MEAN TIME TO INSIGHT Podcast, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA, discusses the network management impacts of remote work.

Click here for a direct MP3 download of Episode 2

Go to: 2024 Application Performance Management Predictions - Part 8, covering NetOps and Network Performance Management (NPM).

The Latest

For all the attention AI receives in corporate slide decks and strategic roadmaps, many businesses are struggling to translate that ambition into something that holds up at scale. At least, that's the picture that emerged from a recent Forrester study commissioned by Tines ...

From smart factories and autonomous vehicles to real-time analytics and intelligent building systems, the demand for instant, local data processing is exploding. To meet these needs, organizations are leaning into edge computing. The promise? Faster performance, reduced latency and less strain on centralized infrastructure. But there's a catch: Not every network is ready to support edge deployments ...

Every digital customer interaction, every cloud deployment, and every AI model depends on the same foundation: the ability to see, understand, and act on data in real time ... Recent data from Splunk confirms that 74% of the business leaders believe observability is essential to monitoring critical business processes, and 66% feel it's key to understanding user journeys. Because while the unknown is inevitable, observability makes it manageable. Let's explore why ...

Organizations that perform regular audits and assessments of AI system performance and compliance are over three times more likely to achieve high GenAI value than organizations that do not, according to a survey by Gartner ...

Kubernetes has become the backbone of cloud infrastructure, but it's also one of its biggest cost drivers. Recent research shows that 98% of senior IT leaders say Kubernetes now drives cloud spend, yet 91% still can't optimize it effectively. After years of adoption, most organizations have moved past discovery. They know container sprawl, idle resources and reactive scaling inflate costs. What they don't know is how to fix it ...

Artificial intelligence is no longer a future investment. It's already embedded in how we work — whether through copilots in productivity apps, real-time transcription tools in meetings, or machine learning models fueling analytics and personalization. But while enterprise adoption accelerates, there's one critical area many leaders have yet to examine: Can your network actually support AI at the speed your users expect? ...

The more technology businesses invest in, the more potential attack surfaces they have that can be exploited. Without the right continuity plans in place, the disruptions caused by these attacks can bring operations to a standstill and cause irreparable damage to an organization. It's essential to take the time now to ensure your business has the right tools, processes, and recovery initiatives in place to weather any type of IT disaster that comes up. Here are some effective strategies you can follow to achieve this ...

In today's fast-paced AI landscape, CIOs, IT leaders, and engineers are constantly challenged to manage increasingly complex and interconnected systems. The sheer scale and velocity of data generated by modern infrastructure can be overwhelming, making it difficult to maintain uptime, prevent outages, and create a seamless customer experience. This complexity is magnified by the industry's shift towards agentic AI ...

In MEAN TIME TO INSIGHT Episode 19, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA explains the cause of the AWS outage in October ... 

The explosion of generative AI and machine learning capabilities has fundamentally changed the conversation around cloud migration. It's no longer just about modernization or cost savings — it's about being able to compete in a market where AI is rapidly becoming table stakes. Companies that can't quickly spin up AI workloads, feed models with data at scale, or experiment with new capabilities are falling behind faster than ever before. But here's what I'm seeing: many organizations want to capitalize on AI, but they're stuck ...

2024 Application Performance Management Predictions - Part 7: User Experience

Industry experts offer thoughtful, insightful, and often controversial predictions on how APM, AIOps, Observability, OpenTelemetry and related technologies will evolve and impact business in 2024. Part 7 covers the end-user experience.

Start with: 2024 Application Performance Management Predictions - Part 1

Start with: 2024 Application Performance Management Predictions - Part 2

Start with: 2024 Application Performance Management Predictions - Part 3

Start with: 2024 Application Performance Management Predictions - Part 4

Start with: 2024 Application Performance Management Predictions - Part 5

Start with: 2024 Application Performance Management Predictions - Part 6

USER EXPERIENCE OVER APPLICATION METRICS

Observability teams will realize the importance of understanding user experience versus application metrics. The fact that a database call has a slightly longer wait time will become less critical than if the application is not meeting the user's expectations of performance. This will directly link resilience and performance back to business impact as a poor user experience can lead to lost revenue.
Gerardo Dada
CMO, Catchpoint

Image removed.

CONVERTING USER EXPERIENCE INTO METRICS

Improvements in multi-model generative AI will continue changing the way the industry looks at digital experience management (DEM), like converting actual user experience recordings into reportable analytics/metrics.
Camden Swita
Senior Product Manager, New Relic

INCORPORATING USER EXPERIENCE METRICS INTO DEV

User experience metrics will be further incorporated into the development and testing lifecycle.
Gerardo Dada
CMO, Catchpoint

INCREASING PRESSURE FOR SEAMLESS USER EXPERIENCE

In 2024 there will be increasing pressure for businesses to provide a seamless experience and intuitive responses that can be maintained during web traffic surges, especially in the ecommerce sector. Ecommerce traffic growth continues to rise year over year, which means businesses need to look at unleashing bandwidth capacity and start investing in reliable, scalable and agile web hosting services and infrastructure that won't compromise speed or functionality. Businesses can avoid paying more for bandwidth if technology is implemented to automatically dial up bandwidth capacity when a surge in traffic is detected. This will ensure their websites remain active and responsive. Companies should also focus on optimizing mobile-friendly websites, boosting customer service, and focus on the power of personalization.
Over the next year, ecommerce will see an increase in website traffic as younger generations age and are introduced to the various ways to purchase products online. It's crucial that businesses within the ecommerce sector properly prepare their websites and overall cloud and web hosting services.
Suhaib Zaheer
SVP, Managed Services, DigitalOcean

The growth of mobile ecommerce means that in 2024, more consumers will expect a seamless, personalized, and convenient shopping experience on their mobile devices. Businesses will need to optimize their websites and apps for mobile, offer various payment options and delivery methods, and leverage data and automation to create engaging and relevant content for their customers.
Kevin French
Principal, Client Solutions, BairesDev

PROACTIVE EMPLOYEE EXPERIENCE MONITORING

As Gartner reported, 47% of users experience significant digital friction on a daily basis. Thus, proactive employee experience monitoring (DEX) will become a main priority as companies realize the importance of ensuring connectivity and access to applications employees need to do their jobs effectively in 2024.
Gerardo Dada
CMO, Catchpoint

SECURITY DISRUPTS EMPLOYEE EXPERIENCE

Zero-day patches, security tool updates, application updates, driver updates, and more, are compromising the user experience every day. Nearly 75% of CISOs say that employees in their organization are frustrated with current security policies that are taking a toll on their productivity. As companies continue implementing these layered security protocols to safeguard their systems, users will increasingly encounter friction in their daily work interactions. This growing user dissatisfaction could pose a significant risk to organizations' employee retention, and as we move into 2024, we will see workers be more reluctant to tolerate cumbersome software updates, patches, and security measures that hinder their ability to work efficiently. Organizations will need to take a holistic approach that does not compromise security nor the end-user experience to keep their employees happy. This requires tools that help them monitor end-user satisfaction and productivity, and understand the impact of frequent, disruptive updates on their users.
Amitabh Sinha
CEO, Workspot

IMPROVING REMOTE DIGITAL EMPLOYEE EXPERIENCE

Regardless of what the overall mix will be, we have made a lasting shift to hybrid work because it's a critical tool for the recruitment and retention of top talent in a stubbornly tight labor market. To support remote teams, 88% of IT leaders will use the next 12-18 months to invest in tools that improve the digital employee experience of remote workers. IT teams will leverage observability tools to be sure that an anomaly is localized to a specific application or location and not a harbinger of a coming network crisis.
Mike Marks
VP Product Marketing, Riverbed

REMOTE WORK HINGES ON APPLICATION PERFORMANCE

As remote work becomes the norm for businesses worldwide, the paradigm shift brings forth critical considerations for application performance. The majority of business and software development activities now occur outside traditional office settings, necessitating hyper-connected and intricate networks for security. To address this, future solutions must prioritize resiliency, uptime, and shorter Service Level Agreements (SLAs). In addition, organizations will rely on automated troubleshooting of business outages. Failing to do so could prompt users and customers to explore alternative solutions that guarantee seamless software delivery. In this evolving landscape, the success of remote work hinges on the ability of applications to perform flawlessly, prompting a reevaluation of network architectures and performance standards to meet the demands of a distributed workforce.
Erez Tadmor
Cybersecurity Evangelist, Tufin

REMOTE WORK DRIVES APPLICATION CONSOLIDATION

In 2024, organizations will hone in on app consolidating and secure delivery. The pandemic ushered in the new norm of remote work, along with a massive influx of new cloud-based apps, mobile devices and laptops. In the rush to implement these solutions, a secondary layer of management, monitoring and security tools added to the complexity for both end users and IT. In 2024, businesses will hone in on consolidating access layers and centralizing management to address the abundance of old and new applications across diverse devices.
Sridhar Mullapudi
GM, Citrix

In Episode 2 of the MEAN TIME TO INSIGHT Podcast, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA, discusses the network management impacts of remote work.

Click here for a direct MP3 download of Episode 2

Go to: 2024 Application Performance Management Predictions - Part 8, covering NetOps and Network Performance Management (NPM).

The Latest

For all the attention AI receives in corporate slide decks and strategic roadmaps, many businesses are struggling to translate that ambition into something that holds up at scale. At least, that's the picture that emerged from a recent Forrester study commissioned by Tines ...

From smart factories and autonomous vehicles to real-time analytics and intelligent building systems, the demand for instant, local data processing is exploding. To meet these needs, organizations are leaning into edge computing. The promise? Faster performance, reduced latency and less strain on centralized infrastructure. But there's a catch: Not every network is ready to support edge deployments ...

Every digital customer interaction, every cloud deployment, and every AI model depends on the same foundation: the ability to see, understand, and act on data in real time ... Recent data from Splunk confirms that 74% of the business leaders believe observability is essential to monitoring critical business processes, and 66% feel it's key to understanding user journeys. Because while the unknown is inevitable, observability makes it manageable. Let's explore why ...

Organizations that perform regular audits and assessments of AI system performance and compliance are over three times more likely to achieve high GenAI value than organizations that do not, according to a survey by Gartner ...

Kubernetes has become the backbone of cloud infrastructure, but it's also one of its biggest cost drivers. Recent research shows that 98% of senior IT leaders say Kubernetes now drives cloud spend, yet 91% still can't optimize it effectively. After years of adoption, most organizations have moved past discovery. They know container sprawl, idle resources and reactive scaling inflate costs. What they don't know is how to fix it ...

Artificial intelligence is no longer a future investment. It's already embedded in how we work — whether through copilots in productivity apps, real-time transcription tools in meetings, or machine learning models fueling analytics and personalization. But while enterprise adoption accelerates, there's one critical area many leaders have yet to examine: Can your network actually support AI at the speed your users expect? ...

The more technology businesses invest in, the more potential attack surfaces they have that can be exploited. Without the right continuity plans in place, the disruptions caused by these attacks can bring operations to a standstill and cause irreparable damage to an organization. It's essential to take the time now to ensure your business has the right tools, processes, and recovery initiatives in place to weather any type of IT disaster that comes up. Here are some effective strategies you can follow to achieve this ...

In today's fast-paced AI landscape, CIOs, IT leaders, and engineers are constantly challenged to manage increasingly complex and interconnected systems. The sheer scale and velocity of data generated by modern infrastructure can be overwhelming, making it difficult to maintain uptime, prevent outages, and create a seamless customer experience. This complexity is magnified by the industry's shift towards agentic AI ...

In MEAN TIME TO INSIGHT Episode 19, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA explains the cause of the AWS outage in October ... 

The explosion of generative AI and machine learning capabilities has fundamentally changed the conversation around cloud migration. It's no longer just about modernization or cost savings — it's about being able to compete in a market where AI is rapidly becoming table stakes. Companies that can't quickly spin up AI workloads, feed models with data at scale, or experiment with new capabilities are falling behind faster than ever before. But here's what I'm seeing: many organizations want to capitalize on AI, but they're stuck ...