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).

Related Links

Hot Topics

The Latest

AI Is Hitting Operational Limits

As AI adoption accelerates, operational complexity — not model intelligence — is becoming the primary barrier to reliable AI at scale, according to the State of AI Engineering 2026 from Datadog ... The report highlights a compounding complexity challenge as AI systems scale ... Around 5% of AI model requests fail in production, with nearly 60% of those failures caused by capacity limits ...

Alert Fatigue Is No Longer a Morale Problem, It's a Reliability Risk and a System Failure

For years, production operations teams have treated alert fatigue as a quality-of-life problem: something that makes on-call rotations miserable but isn't considered a direct contributor to outages. That framing doesn't capture how these systems fail, and we now have data to show why. More importantly, it's now clear alert fatigue is a symptom of a deeper issue: production systems have outgrown the current operational approaches ...

Most Enterprises Think They Can Switch AI Vendors in a Month ... Most Who've Tried Couldn't

I was on a customer call last fall when an enterprise architect said something I haven't been able to shake. Her team had just spent four months trying to swap one AI vendor for another. The original plan said three weeks. "We didn't switch vendors," she told me. "We rebuilt half our integrations and discovered what we'd actually been depending on." Most enterprise leaders don't expect that to be the experience ...

Your Observability Stack Has a Telemetry Pipeline Problem

Ask any senior SRE or platform engineer what keeps them up at night, and the answer probably isn't the monitoring tool — it's the data feeding it. The proliferation of APM, observability, and AIOps platforms has created a telemetry sprawl problem that most teams manage reactively rather than architect proactively. Metrics are going to one platform. Traces routed somewhere else. Logs duplicated across multiple backends because nobody wants to be caught without them when something breaks. Every redundant stream costs money ...

Operator to Orchestrator: 80% of IT Pros See Shift in Role as AI Permeates Workflows

80% of respondents agree that the IT role is shifting from operators to orchestrators, according to the 2026 IT Trends Report: The Human Side of Autonomous IT from SolarWinds ...

Gartner: 40% of Organizations Deploying AI Will Use AI Observability to Monitor Model Performance by 2028

40% of organizations deploying AI will implement dedicated AI observability tools by 2028 to monitor model performance, bias and outputs, according to Gartner ...

Almost Half of AI-Generated Code Fails in Production

Until AI-powered engineering tools have live visibility of how code behaves at runtime, they cannot be trusted to autonomously ensure reliable systems, according to the State of AI-Powered Engineering Report 2026 report from Lightrun. The report reveals that a major volume of manual work is required when AI-generated code is deployed: 43% of AI-generated code requires manual debugging in production, even after passing QA or staging tests. Furthermore, an average of three manual redeploy cycles are required to verify a single AI-suggested code fix in production ...

AI Requires Design, Not Edicts

Many organizations describe AI as strategic, but they do not manage it strategically. When AI plans are disconnected from strategy, detached from organizational learning, and protected from serious assumptions testing, the problem is no longer technical immaturity; it is a failure of management discipline ... Executives too often tell organizations to "use AI" before they define what AI is supposed to change. The problem deepens in organizations where strategy isn't well articulated in the first place ...

How Intelligent Orchestration Enables Enterprises to Move from AI POC to AI Production

Across the enterprise technology landscape, a quiet crisis is playing out. Organizations have run hundreds, sometimes thousands, of generative AI pilots. Leadership has celebrated the proof of concept (POCs) ... Industry experience points to a sobering reality: only 5-10% of AI POCs that progress to the pilot stage successfully reach scaled production. The remaining 90% fail because the enterprise environment around them was never ready to absorb them, not the AI models ...

Reliability Is the New Bottleneck of Innovation

Today's modern systems are not what they once were. Organizations now rely on distributed systems, event-driven workflows, hybrid and multi-cloud environments and continuous delivery pipelines. While each adds flexibility, it also introduces new, often invisible failures. Development speed is no longer the primary bottleneck of innovation. Reliability is ...

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).

Related Links

Hot Topics

The Latest

AI Is Hitting Operational Limits

As AI adoption accelerates, operational complexity — not model intelligence — is becoming the primary barrier to reliable AI at scale, according to the State of AI Engineering 2026 from Datadog ... The report highlights a compounding complexity challenge as AI systems scale ... Around 5% of AI model requests fail in production, with nearly 60% of those failures caused by capacity limits ...

Alert Fatigue Is No Longer a Morale Problem, It's a Reliability Risk and a System Failure

For years, production operations teams have treated alert fatigue as a quality-of-life problem: something that makes on-call rotations miserable but isn't considered a direct contributor to outages. That framing doesn't capture how these systems fail, and we now have data to show why. More importantly, it's now clear alert fatigue is a symptom of a deeper issue: production systems have outgrown the current operational approaches ...

Most Enterprises Think They Can Switch AI Vendors in a Month ... Most Who've Tried Couldn't

I was on a customer call last fall when an enterprise architect said something I haven't been able to shake. Her team had just spent four months trying to swap one AI vendor for another. The original plan said three weeks. "We didn't switch vendors," she told me. "We rebuilt half our integrations and discovered what we'd actually been depending on." Most enterprise leaders don't expect that to be the experience ...

Your Observability Stack Has a Telemetry Pipeline Problem

Ask any senior SRE or platform engineer what keeps them up at night, and the answer probably isn't the monitoring tool — it's the data feeding it. The proliferation of APM, observability, and AIOps platforms has created a telemetry sprawl problem that most teams manage reactively rather than architect proactively. Metrics are going to one platform. Traces routed somewhere else. Logs duplicated across multiple backends because nobody wants to be caught without them when something breaks. Every redundant stream costs money ...

Operator to Orchestrator: 80% of IT Pros See Shift in Role as AI Permeates Workflows

80% of respondents agree that the IT role is shifting from operators to orchestrators, according to the 2026 IT Trends Report: The Human Side of Autonomous IT from SolarWinds ...

Gartner: 40% of Organizations Deploying AI Will Use AI Observability to Monitor Model Performance by 2028

40% of organizations deploying AI will implement dedicated AI observability tools by 2028 to monitor model performance, bias and outputs, according to Gartner ...

Almost Half of AI-Generated Code Fails in Production

Until AI-powered engineering tools have live visibility of how code behaves at runtime, they cannot be trusted to autonomously ensure reliable systems, according to the State of AI-Powered Engineering Report 2026 report from Lightrun. The report reveals that a major volume of manual work is required when AI-generated code is deployed: 43% of AI-generated code requires manual debugging in production, even after passing QA or staging tests. Furthermore, an average of three manual redeploy cycles are required to verify a single AI-suggested code fix in production ...

AI Requires Design, Not Edicts

Many organizations describe AI as strategic, but they do not manage it strategically. When AI plans are disconnected from strategy, detached from organizational learning, and protected from serious assumptions testing, the problem is no longer technical immaturity; it is a failure of management discipline ... Executives too often tell organizations to "use AI" before they define what AI is supposed to change. The problem deepens in organizations where strategy isn't well articulated in the first place ...

How Intelligent Orchestration Enables Enterprises to Move from AI POC to AI Production

Across the enterprise technology landscape, a quiet crisis is playing out. Organizations have run hundreds, sometimes thousands, of generative AI pilots. Leadership has celebrated the proof of concept (POCs) ... Industry experience points to a sobering reality: only 5-10% of AI POCs that progress to the pilot stage successfully reach scaled production. The remaining 90% fail because the enterprise environment around them was never ready to absorb them, not the AI models ...

Reliability Is the New Bottleneck of Innovation

Today's modern systems are not what they once were. Organizations now rely on distributed systems, event-driven workflows, hybrid and multi-cloud environments and continuous delivery pipelines. While each adds flexibility, it also introduces new, often invisible failures. Development speed is no longer the primary bottleneck of innovation. Reliability is ...