& Digital Experience
Monitoring more does not necessarily mean monitoring better.
Business applications, websites, SaaS platforms, mobile services, APIs, cloud infrastructures… Information systems are now made up of a growing number of interdependent components.
Digital monitoring has become essential
In this context, digital monitoring has become essential for monitoring the availability and performance of digital services, detecting anomalies and enabling IT teams to respond quickly.
But monitoring more does not necessarily mean monitoring better.
Organizations now have access to a considerable volume of metrics, logs, alerts and dashboards. Yet they may still discover certain issues only after their users do.
We have never had so much data about our systems, yet data alone does not guarantee a clear understanding of the experience actually delivered to users.
When technical monitoring is no longer enough
For a long time, monitoring focused primarily on the health of infrastructure and technical components: CPU, memory, servers, network availability, response times and error rates.
These indicators remain essential, but they tell only part of the story.
Everything appears operational.
A server may be available. An API may respond. An application may show an operational status.
Yet the service may still not work.
A user may be unable to complete an order, sign in or access an essential feature.
Consider an e-commerce journey:
Each component may appear to work when monitored individually. But if a dependency slows down, a button stops responding or a payment step fails, the user journey is compromised.
Component availability does not guarantee that the service is truly available to the user.
An effective monitoring strategy must go beyond basic technical monitoring.
It must consider the digital service as a whole and the experience actually delivered to the user.
The main limitations of traditional monitoring
A fragmented view of the information system
Infrastructure, network, applications, cloud, APIs, third-party services, mobile… each environment may have its own monitoring tool.
The problem is no longer necessarily a lack of data, but their fragmentation.
When an incident occurs, teams may have to reconstruct the chain of events across several tools to understand what actually happened.
This fragmentation makes it more difficult to identify the root cause and can increase resolution time.
Too many alerts, not enough context
Monitoring relies heavily on alerts. But when thresholds are poorly defined or monitoring tools multiply, teams can quickly face alert overload.
Yet not all alerts have the same level of importance.
A degradation on a secondary page does not have the same impact as being unable to log in or complete a payment.
Technical metrics disconnected from the real user experience
A satisfactory average response time can hide very different situations.
Most users may enjoy a smooth experience while a specific region, browser, device or user segment experiences significant slowdowns.
To understand the true quality of a service, it is necessary to observe what happens under real-world usage conditions.
This is where Real User Monitoring (RUM) and Synthetic Monitoring become complementary.
Real User Monitoring
RUM makes it possible to analyze the experience actually lived by users under real-world usage conditions.
Synthetic Monitoring
Synthetic Monitoring automatically reproduces critical user journeys to identify issues, sometimes even before users encounter them.
RUM shows what users are actually experiencing. Synthetic Monitoring proactively verifies that critical user journeys continue to work.
Truly understanding the performance of a digital service requires connecting technical data with context and the experience actually lived by users.
From technical monitoring to experience-driven monitoring
This evolution requires a shift in perspective.
Historically, monitoring was primarily organized around the health of systems and technical components. Today, a more mature approach puts the user and their ability to complete an action at the heart of the monitoring strategy.
“Is the server working?”
“Can the user accomplish what they came to do?”
The user journey thus becomes an essential measure of digital performance.
5 best practices for truly effective monitoring
Start with critical user journeys
A monitoring strategy should not start with: “What data can we collect?”
Instead, it should start with a question much more directly related to the organization’s business.
Every organization has user journeys whose availability and performance have a direct impact on its business. These journeys should guide the monitoring strategy and the definition of priority indicators.
Combine multiple levels of observation
No monitoring technology can provide a complete view of the system on its own.
These approaches are not competing: they are complementary.
Combining them makes it possible to move from an accumulation of metrics to a holistic understanding of digital service quality.
Observe the service from the outside
There is a fundamental difference between knowing that a system is working internally and verifying that it actually works from the outside.
The system appears to be working.
Servers, applications and technical components may all show normal indicators.
Verify real-world access conditions.
The service is tested from a perspective closer to that of the user.
Users rely on the Internet, browsers, mobile applications, CDNs, APIs and many third-party services before accessing a service.
Regularly testing applications from different monitoring locations makes it possible to better reflect real-world access conditions and detect issues that would remain invisible with internal monitoring alone.
Prioritize alerts based on their impact
Not all anomalies require the same level of urgency.
Alerts should be prioritized across several dimensions to reflect their actual impact on the service.
Use automation and AI to improve understanding
Artificial intelligence opens up new possibilities for monitoring: anomaly detection, event correlation, trend analysis and diagnostic assistance.
But its purpose should not simply be to generate more data or alerts.
AI can help reduce noise and accelerate analysis, while teams retain an essential role in interpreting context, prioritizing issues and making decisions.
Move from monitoring components to understanding the digital service as a whole.
Critical user journeys, infrastructure, applications, real user experience, synthetic testing, business context and artificial intelligence: combining these different levels of observation is what makes it possible to build truly experience-driven monitoring.
From visibility to understanding
The next challenge in digital monitoring is probably not to collect ever more data.
It is about making better use of it.
Logs, metrics, traces, user experience data and synthetic scenarios all provide valuable signals. Taken separately, they offer only a partial view.
When correlated and placed in the context of the user journey, these signals become much more powerful.
This evolution gradually marks the shift from component monitoring to understanding the digital service.
Monitor components
Individually check the health of servers, applications, networks and infrastructure.
Understand the digital service
Connect technical signals with the experience and journey actually delivered to the user.
Tomorrow’s monitoring will be user-centric
As digital architectures become more complex, the very definition of availability must evolve.
A service is not truly available simply because its servers are responding.
The servers are responding.
Technical components appear to be available and indicators remain operational.
The user can accomplish their goal.
The user journey works end to end and under good usage conditions.
A service is truly available when the user can accomplish their goal under good conditions.
Put user experience at the heart of digital monitoring.
At Ekara, cette approche consiste notamment à surveiller les services et les parcours critiques dans des conditions représentatives de leur utilisation réelle.
Beyond technology, this evolution is above all methodological.
Modern monitoring should no longer simply answer a technical question. It should make it possible to understand service quality as it is actually experienced.
“Is everything working?”
“Is everything working properly for our users?”
Understanding what users actually experience changes the value of monitoring.
This difference transforms monitoring from a simple monitoring tool into a true driver of digital performance.