Tired of your users' complaints about performance issues?
How to quickly diagnose and resolve poor user response time issues?
2020, COVID and Lock Down
In the current period, with the many employees who are confined to working from home, nomadic for external meetings, or these professors and students who have to deliver or receive teaching remotely, the pressure is increasing on IT infrastructures which have not always been sized to deliver good performance, and on support teams who are still trying to solve everyone's problems. Current events show us every day that these degraded situations still exist in 2020, how is it still possible? We can legitimately ask ourselves the question.
And nothing changes in 2020
It is always and regularly the case that a user complains about poor response times when all the tools for monitoring infrastructure components are green. None of these tools see what is happening from the user workstation and that is the challenge for production or support teams.
If we add to this the fact that these problems can occur randomly, the tasks of diagnosis and resolution become exponentially more complex.
The only solution is to be able to monitor its response times directly from the user workstation and to divide them into layers of crossed infrastructure. This makes it possible to know directly where the bottlenecks are and which teams in the IT department (network, database, system, user workstation, etc.) will have to intervene to solve the performance problem.
Diagnosis times are reduced, communication between support and infrastructure or production teams is smoother, and incidents, even random ones, are resolved more quickly.
2020. It's the right year to finally change your habits!
It is therefore necessary to go beyond traditional monitoring solutions and to have the possibility of deploying a performance monitoring agent on demand on a user workstation. This agent will enable the user's response time to be measured and broken down from his workstation.
It is a true view of what is happening on the end user's workstation with all the information needed to determine which layer of the infrastructure supporting the user's application is at fault, which obviously includes the user's workstation where local resources are also monitored.
These techniques allow user satisfaction to be measured through response times that are measured from the user's workstation. The monitoring strategy needs to be rethought and new modules need to be added. We have moved from infrastructure monitoring to application performance monitoring, and now we need to go further and monitor performance from the end-user's workstation, at the risk of being unable to ensure availability and performance in 2020 despite the investments made over the years in monitoring solutions.
This is exactly the purpose of POWERHOUSE Magic button, it has been developed to meet these challenges. In one click it is installed on a user workstation and can help you to determine the causes of slowdown. It allows you to cut the response time seen from the user workstation and act accordingly.
That's what it's all about today, being user-centric and providing the best possible user experience.