Combining Uptime Monitoring with Performance and Load Testing

10:02 PM
Measuring the performance of an app involves a lot of factors apart from just uptime percentage. User experience and business impact are equally important and that is why software performance testing is crucial. Now, with the advancement in technology, performance management is getting more complex. In order to understand how the apps, databases and other functions perform, you need to see if they are catering to the user and ultimately, meeting your organization’s goal. A question as to how to measure the performance of a system obviously arises. The answer is that there are actually several ways of measuring the performance level of a system. In fact, a Service Level Agreement should ideally highlight the performance levels. But there is a lot more that you will need to know.

There are actually two distinct point of views from which an app or a product’s performance need to be measured, the user point of view and the business point of view. So, here take a look at some of the ways a better performance testing can be carried out.

There is No Alternative to a Close Monitoring
The only way a proper monitoring can be ensured by following the user experience. Simply put, the monitoring expert needs to sit literally tied up to the app. The agent who is entrusted with the responsibility of reporting on the system should make sure that the app is perfectly agile across all the public and private components of a hybrid cloud. Monitoring of all the parts is necessary to be assured that there are no false metrics.

Separating the Components is a Must
When it comes to measuring the performance of the app at the cloud instance level, isolation of the response time of the network, application, user interface, database and other individual components is a must. The most inscrutable part of the performance variables is the public internet. There are chances of the metrics getting twisted by a single anomaly affecting one or more instances. To prevent this, you need to include as many instances as possible in performance calculations. 

Root Cause Analysis is Desirable
When performance glitches show up at a much later phase of the process, testers often try to find out the reasons. More often than not, the actual problem or cause lies much deeper. And by the time the cause is detected and treated, it  gets too late. One essential way of avoiding this hassle is by having monitoring agents in IT configuration. They can quickly identify the root cause and fix it fast, thereby, not affecting the effectiveness of the entire process. Further, even if there is a problem in detecting the issue, a cloud-based monitoring app is always there to fulfill the need.

Following the above mentioned strategies help in getting an output that excels. After all, the present day technology driven world requires software that satisfies the users and stands out among others.

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