UNIFIED MONITORING POWERED BY ARTIFICIAL INTELLIGENCE
If you consider the business-critical operations, you can’t look at the single transaction. It is fundamental to look at the whole work-flow. Nowadays, companies are increasingly focusing on applications’ monitoring, in order to track their performance and to avoid potential serious damages on business revenue. In order to achieve this goal, it is important to have a unified monitoring solution, which consists of:
The integration of these types of performance monitoring is able to deliver companies a clear and complete picture of the identified business-critical processes. The continuous development of some technologies – such as cloud and IoT – has the following precise aim: improving data analysis thanks to intelligent software.
In this post, our Susanne Greiner – data scientist – is going to explain her approach to the new technologies, focusing on system and performance management.
“To be sure that an application performs well, you have to use both traditional approaches and new methodologies. Automated techniques based on Artificial Intelligence (AI) can accelerate the analysis of some problems and can be used to fastly solve issues. A specific algorithm is able to isolate production processes transactions in order to identify potential issues. This is reachable through some tests that are comparable to the transactions performed by real users. Soon, supervised learning methods will learn automatically and will replicate human behavior independently – in similar and repetitive circumstances” – explains to us, Susanne Greiner.
According to Susanne, in the next years, AI paradigms will become a must. In fact, most of the players will understand that investing in those solutions can give a real competitive advantage.
“If you pay attention to the “performance monitoring world”, you will notice that the trend is oriented to the IT Operation Analytics (ITOA). Why? Because companies have to “answer some questions” that traditional Application Performance Monitoring (APM) can not answer. For this reason, companies will focus more on predictive and proactive monitoring. Intervening before a complication turns into a real problem will make the difference both in terms of resource optimization and cost saving“.
A unified monitoring solution and analysis can offer a complete overview of the processes monitored. Susanne shows us how NetEye – an open source unified monitoring solution – can be a potential solution to manage applications and network performance through multidimensional analysis and event correlation. Moreover, it considers also the real users’ utilization of the services and the development enabled by machine learning. A unified strategy helps companies to discover hidden elements and correlating the different metrics to the reached KPI.
Moreover, Susanne tells us the importance of the evaluation of the service quality from the end user point of view. In conclusion, the aim is to deliver a platform able to analyze users’ perception, thanks to technologies which simulate human behavior. To reach this goal, Susanne uses a visual synthetic monitoring tool – which, in this case, is our Alyvix. Alyvix is integrable with NetEye and helps to understand the end user point of view. Its approach is proactive and complete the picture of a real user monitoring solution.