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7 Reasons Why Real User Monitoring (RUM) Matters

Sidharth Kumar
Exoprise

Microsoft had a stellar quarter in Q3 of this year, beating expectations in all its three core segments. The demand for its Azure cloud services continues to grow. The other heavy tech giants such as Google and Amazon also reported gains, thanks to an increase in stimulus e-commerce spending and work from home extension policies. As several companies follow the lead of Microsoft and Google, IT leaders will need to quickly adapt to a new normal and adjust strategies to accommodate its distributed workforce. Here are 7 reasons why real user monitoring should matter to IT.

Image removed.

1. Capture Beyond Synthetics

Pre Covid, it was easier to capture end-user performance metrics for SaaS services using synthetic sensors when employees were working at the office. But after Covid struck, circumstances changed. Employees are now working in a different home setting (LAN, WAN, VPN) where one expects varying degrees of internet connection, Wi-Fi, application, and network monitoring issues.

Earlier, IT would receive tickets in ServiceNow where fixing one ticket would immediately remediate technical issues across the entire organization. However, in present times, IT teams are getting inundated with tickets that represent individual home settings and a challenging troubleshooting process. There is no visibility into end-user experience metrics and additional time is being spent trying to resolve issues. When more tickets get created in ITSM, it becomes burdensome for any team to manage and successfully close them. No one knows where the fault really lies, and war rooms escalate.

RUM makes it possible to collect applications and network monitoring performance data from the browser and individual machines. IT can employ the crowdsourcing model along with Digital Experience Monitoring (DEM) solutions to quickly determine if it is an end-user or corporate-wide issue.

2. Putting Customers First

Gone are the days when companies built a product, put its information on a website, and assumed customers would buy from them. This product-centric model has now shifted to becoming a customer-oriented model. Engineers, UI experts, and customer success teams now work backward to understand all the hops in the buying journey that would make a customer happy. As part of this journey are changing variables that can impact the end-user experience of the website such as slow page load and server response time, high latency, traffic bottlenecks, product cart page timeout, DNS delays, etc.

By combining synthetics and real user data, IT can monitor in real-time how well the newly developed SaaS applications are performing and execute root cause analysis faster. This SaaS visibility can help designers and developers build pages that can streamline the end-user experience. At a macro level, collecting application and network monitoring usage metrics of the website user experience from a wider audience can determine the success and future of the newly released SaaS product.

3. Productivity Matters

Remote work is here to stay, and regular citizens continue to adapt to working from home. Consequently, millennials are moving out to the suburbs in search of a better cost of living and working efficiently with global teams. Application usage of productivity tools such as Microsoft Teams, Office 365, Salesforce, Zoom, etc. continues to rise. If employees continue to receive poor experience on these applications, productivity suffers, and business gets impacted.

RUM can provide critical insights on end-user response time for mission-critical applications and help IT remediate performance issues. Crowdsourcing data can reveal if the issue is local or across the board. The less time IT spends on investigating and resolving tickets, the faster can employees and customers be happy. Companies meet their SLA and employees become proactive and productive.

4. Application Transparency

Just because Office 365 is up and running, it does not necessarily mean that it is performing optimally. Enterprise applications of today run from the cloud in a microservices architecture abstracting complexity between the frontend, middleware, and backend. Instrumentation of these applications via legacy tools for collecting cloud performance metrics is not possible. End-users utilize applications in several different ways for respective workflow and functionality needs. Moreover, certain users prefer running their applications on specific browsers and devices. Application performance monitoring (APM) use cases have become different and personalized and therefore, monitoring needs to incorporate all scenarios.

With different combinations and the path to success involved, IT needs RUM to understand Office 365 application transactions that touch different endpoints (modules, systems, and devices) and the underlying Azure infrastructure that supports the application.

5. Move to Mobile

Statista projects that the number of mobile users worldwide will reach 7.41 billion up from 6.95 billion in 2020. Mobiles have already penetrated our daily life as PC sales decline. Within our professional lives too, mobiles have found their place to conduct business transactions via apps. Exchange online, outlook, Office 365, and Salesforce are some of the examples. Mobile app synthetic monitoring exists today.

However, continually assessing the impact of BYOD on digital strategy via RUM and how mobile users can gain the same experience as PC users become critical as mobile adoption increases.

6. Automated 360-degree View

RUM can detect and monitor the end-user SaaS experience whether working from HQ behind a firewall or connected directly to the cloud from home, this giving IT the best of both worlds. Understanding page views and load performance, browser usage, etc. for mission-critical business applications across all the locations is key for evaluating the normalcy of the new work setup we all are living in today. Gaining automated insights with a 360-degree view for passive monitoring is a reliable strategy to accurately detect issues and fix them quickly.

7. Slow is The New Down

Uptime is an important metric that SaaS companies originally relied on. But today, downtime is equally significant considering that IT is responsible for 24/7 performance and reliability. If your Microsoft Teams application is slow or degrading in performance before that next important call, it can result in loss of business deal and poor experience to clients.

Additionally, a new DevOps cloud migration change introduced in the production environment can introduce new bottlenecks and impact the customer buying decision.

Nevertheless, IT should be able to proactively manage downtime if only they can measure downtime. End-user application monitoring becomes critical to the company’s success and needs to be integrated into IT strategy.

Combined with synthetic user monitoring, RUM extends into the end-user digital experience by monitoring browsers, devices, endpoints, and collecting advanced telemetry machine performance data. Associate your digital brand with agility, speed, and not slowness. Track real-user behavior and assess areas to optimize. Detect, identify, and troubleshoot application and network performance issues in real-time with a modern monitoring tool. The journey to stay agile and competitive rests on the shoulders of enterprises that want to innovate and invest in monitoring solutions that can give them the utmost visibility.

Sidharth Kumar is Director of Product Marketing at Exoprise

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Efficiency is a highly-desirable objective in business ... We're seeing this scenario play out in enterprises around the world as they continue to struggle with infrastructures and remote work models with an eye toward operational efficiencies. In contrast to that goal, a recent Broadcom survey of global IT and network professionals found widespread adoption of these strategies is making the network more complex and hampering observability, leading to uptime, performance and security issues. Let's look more closely at these challenges ...

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7 Reasons Why Real User Monitoring (RUM) Matters

Sidharth Kumar
Exoprise

Microsoft had a stellar quarter in Q3 of this year, beating expectations in all its three core segments. The demand for its Azure cloud services continues to grow. The other heavy tech giants such as Google and Amazon also reported gains, thanks to an increase in stimulus e-commerce spending and work from home extension policies. As several companies follow the lead of Microsoft and Google, IT leaders will need to quickly adapt to a new normal and adjust strategies to accommodate its distributed workforce. Here are 7 reasons why real user monitoring should matter to IT.

Image removed.

1. Capture Beyond Synthetics

Pre Covid, it was easier to capture end-user performance metrics for SaaS services using synthetic sensors when employees were working at the office. But after Covid struck, circumstances changed. Employees are now working in a different home setting (LAN, WAN, VPN) where one expects varying degrees of internet connection, Wi-Fi, application, and network monitoring issues.

Earlier, IT would receive tickets in ServiceNow where fixing one ticket would immediately remediate technical issues across the entire organization. However, in present times, IT teams are getting inundated with tickets that represent individual home settings and a challenging troubleshooting process. There is no visibility into end-user experience metrics and additional time is being spent trying to resolve issues. When more tickets get created in ITSM, it becomes burdensome for any team to manage and successfully close them. No one knows where the fault really lies, and war rooms escalate.

RUM makes it possible to collect applications and network monitoring performance data from the browser and individual machines. IT can employ the crowdsourcing model along with Digital Experience Monitoring (DEM) solutions to quickly determine if it is an end-user or corporate-wide issue.

2. Putting Customers First

Gone are the days when companies built a product, put its information on a website, and assumed customers would buy from them. This product-centric model has now shifted to becoming a customer-oriented model. Engineers, UI experts, and customer success teams now work backward to understand all the hops in the buying journey that would make a customer happy. As part of this journey are changing variables that can impact the end-user experience of the website such as slow page load and server response time, high latency, traffic bottlenecks, product cart page timeout, DNS delays, etc.

By combining synthetics and real user data, IT can monitor in real-time how well the newly developed SaaS applications are performing and execute root cause analysis faster. This SaaS visibility can help designers and developers build pages that can streamline the end-user experience. At a macro level, collecting application and network monitoring usage metrics of the website user experience from a wider audience can determine the success and future of the newly released SaaS product.

3. Productivity Matters

Remote work is here to stay, and regular citizens continue to adapt to working from home. Consequently, millennials are moving out to the suburbs in search of a better cost of living and working efficiently with global teams. Application usage of productivity tools such as Microsoft Teams, Office 365, Salesforce, Zoom, etc. continues to rise. If employees continue to receive poor experience on these applications, productivity suffers, and business gets impacted.

RUM can provide critical insights on end-user response time for mission-critical applications and help IT remediate performance issues. Crowdsourcing data can reveal if the issue is local or across the board. The less time IT spends on investigating and resolving tickets, the faster can employees and customers be happy. Companies meet their SLA and employees become proactive and productive.

4. Application Transparency

Just because Office 365 is up and running, it does not necessarily mean that it is performing optimally. Enterprise applications of today run from the cloud in a microservices architecture abstracting complexity between the frontend, middleware, and backend. Instrumentation of these applications via legacy tools for collecting cloud performance metrics is not possible. End-users utilize applications in several different ways for respective workflow and functionality needs. Moreover, certain users prefer running their applications on specific browsers and devices. Application performance monitoring (APM) use cases have become different and personalized and therefore, monitoring needs to incorporate all scenarios.

With different combinations and the path to success involved, IT needs RUM to understand Office 365 application transactions that touch different endpoints (modules, systems, and devices) and the underlying Azure infrastructure that supports the application.

5. Move to Mobile

Statista projects that the number of mobile users worldwide will reach 7.41 billion up from 6.95 billion in 2020. Mobiles have already penetrated our daily life as PC sales decline. Within our professional lives too, mobiles have found their place to conduct business transactions via apps. Exchange online, outlook, Office 365, and Salesforce are some of the examples. Mobile app synthetic monitoring exists today.

However, continually assessing the impact of BYOD on digital strategy via RUM and how mobile users can gain the same experience as PC users become critical as mobile adoption increases.

6. Automated 360-degree View

RUM can detect and monitor the end-user SaaS experience whether working from HQ behind a firewall or connected directly to the cloud from home, this giving IT the best of both worlds. Understanding page views and load performance, browser usage, etc. for mission-critical business applications across all the locations is key for evaluating the normalcy of the new work setup we all are living in today. Gaining automated insights with a 360-degree view for passive monitoring is a reliable strategy to accurately detect issues and fix them quickly.

7. Slow is The New Down

Uptime is an important metric that SaaS companies originally relied on. But today, downtime is equally significant considering that IT is responsible for 24/7 performance and reliability. If your Microsoft Teams application is slow or degrading in performance before that next important call, it can result in loss of business deal and poor experience to clients.

Additionally, a new DevOps cloud migration change introduced in the production environment can introduce new bottlenecks and impact the customer buying decision.

Nevertheless, IT should be able to proactively manage downtime if only they can measure downtime. End-user application monitoring becomes critical to the company’s success and needs to be integrated into IT strategy.

Combined with synthetic user monitoring, RUM extends into the end-user digital experience by monitoring browsers, devices, endpoints, and collecting advanced telemetry machine performance data. Associate your digital brand with agility, speed, and not slowness. Track real-user behavior and assess areas to optimize. Detect, identify, and troubleshoot application and network performance issues in real-time with a modern monitoring tool. The journey to stay agile and competitive rests on the shoulders of enterprises that want to innovate and invest in monitoring solutions that can give them the utmost visibility.

Sidharth Kumar is Director of Product Marketing at Exoprise

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E-commerce is set to skyrocket with a 9% rise over the next few years ... To thrive in this competitive environment, retailers must identify digital resilience as their top priority. In a world where savvy shoppers expect 24/7 access to online deals and experiences, any unexpected downtime to digital services can lead to significant financial losses, damage to brand reputation, abandoned carts with designer shoes, and additional issues ...

Efficiency is a highly-desirable objective in business ... We're seeing this scenario play out in enterprises around the world as they continue to struggle with infrastructures and remote work models with an eye toward operational efficiencies. In contrast to that goal, a recent Broadcom survey of global IT and network professionals found widespread adoption of these strategies is making the network more complex and hampering observability, leading to uptime, performance and security issues. Let's look more closely at these challenges ...

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The 2025 Catchpoint SRE Report dives into the forces transforming the SRE landscape, exploring both the challenges and opportunities ahead. Let's break down the key findings and what they mean for SRE professionals and the businesses relying on them ...

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The pressure on IT teams has never been greater. As data environments grow increasingly complex, resource shortages are emerging as a major obstacle for IT leaders striving to meet the demands of modern infrastructure management ... According to DataStrike's newly released 2025 Data Infrastructure Survey Report, more than half (54%) of IT leaders cite resource limitations as a top challenge, highlighting a growing trend toward outsourcing as a solution ...

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Gartner revealed its top strategic predictions for 2025 and beyond. Gartner's top predictions explore how generative AI (GenAI) is affecting areas where most would assume only humans can have lasting impact ...

The adoption of artificial intelligence (AI) is accelerating across the telecoms industry, with 88% of fixed broadband service providers now investigating or trialing AI automation to enhance their fixed broadband services, according to new research from Incognito Software Systems and Omdia ...

 

AWS is a cloud-based computing platform known for its reliability, scalability, and flexibility. However, as helpful as its comprehensive infrastructure is, disparate elements and numerous siloed components make it difficult for admins to visualize the cloud performance in detail. It requires meticulous monitoring techniques and deep visibility to understand cloud performance and analyze operational efficiency in detail to ensure seamless cloud operations ...

Imagine a future where software, once a complex obstacle, becomes a natural extension of daily workflow — an intuitive, seamless experience that maximizes productivity and efficiency. This future is no longer a distant vision but a reality being crafted by the transformative power of Artificial Intelligence ...

Enterprise data sprawl already challenges companies' ability to protect and back up their data. Much of this information is never fully secured, leaving organizations vulnerable. Now, as GenAI platforms emerge as yet another environment where enterprise data is consumed, transformed, and created, this fragmentation is set to intensify ...

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